---
title: "Research trends: fastest-growing topics, past 36 months"
description: "Papers per month in all tracked journals: 0 to 4,959 over the last 36 complete months. Fastest-growing keywords in all tracked journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “large language models” (394 papers, +158 vs. its earlier share), “Mamba” (82 papers, +44 vs. its earlier share) and “generative AI” (108 papers, +41 vs. its earlier share)."
url: https://scholar4ai.com/trends
markdown_url: https://scholar4ai.com/trends.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-10-26T13:22:50+09:00
window: 2026-09-27 to 2026-10-26
source: OpenAlex (CC0)
---

# Research trends over the last 36 months

Monthly paper counts and keyword trends from the archive of every paper this site has collected, Oct 2023 to Oct 2026 (* marks the current month, which is still incomplete). Growing keywords are ranked by how many more papers they had in Jul 2026–Sep 2026 than their share of papers in Oct 2023–Jun 2026 predicts, among keywords whose share grew at least 1.5 times.

## Key findings

- Papers per month in all tracked journals: 0 to 4,959 over the last 36 complete months.
- Fastest-growing keywords in all tracked journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “large language models” (394 papers, +158 vs. its earlier share), “Mamba” (82 papers, +44 vs. its earlier share) and “generative AI” (108 papers, +41 vs. its earlier share).
- Papers per month in the tracked finance journals: 0 to 749 over the last 36 complete months.
- Fastest-growing keywords in the tracked finance journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “artificial intelligence” (31 papers, +17 vs. its earlier share), “asset pricing” (30 papers, +14 vs. its earlier share) and “tail risk” (29 papers, +13 vs. its earlier share).
- Papers per month in the tracked accounting journals: 0 to 92 over the last 36 complete months.
- Fastest-growing keywords in the tracked accounting journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “moderating effect” (8 papers, +5 vs. its earlier share), “data analytics” (5 papers, +5 vs. its earlier share) and “information transparency” (5 papers, +4 vs. its earlier share).
- Papers per month in the tracked economics journals: 0 to 977 over the last 36 complete months.
- Fastest-growing keywords in the tracked economics journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “corporate governance” (35 papers, +13 vs. its earlier share), “total factor productivity” (33 papers, +13 vs. its earlier share) and “absorptive capacity” (17 papers, +13 vs. its earlier share).
- Papers per month in the tracked management journals: 0 to 526 over the last 36 complete months.
- Fastest-growing keywords in the tracked management journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “large language models” (30 papers, +18 vs. its earlier share), “human-AI collaboration” (23 papers, +15 vs. its earlier share) and “absorptive capacity” (21 papers, +12 vs. its earlier share).
- Papers per month in the tracked operations research journals: 0 to 575 over the last 36 complete months.
- Fastest-growing keywords in the tracked operations research journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “large language models” (37 papers, +26 vs. its earlier share), “drone delivery” (26 papers, +18 vs. its earlier share) and “last-mile delivery” (35 papers, +14 vs. its earlier share).
- Papers per month in the tracked AI journals: 0 to 2,469 over the last 36 complete months.
- Fastest-growing keywords in the tracked AI journals (Jul 2026–Sep 2026 vs Oct 2023–Jun 2026): “large language models” (298 papers, +109 vs. its earlier share), “Mamba” (81 papers, +46 vs. its earlier share) and “vision-language models” (78 papers, +33 vs. its earlier share).

## Papers per month

*Papers per month by publication date*

| Month | All journals | Finance | Accounting | Economics | Management | Operations Research | AI |
|---|---:|---:|---:|---:|---:|---:|---:|
| Oct 2023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Nov 2023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Dec 2023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Jan 2024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Feb 2024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Mar 2024 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Apr 2024 | 3,536 | 567 | 48 | 730 | 422 | 486 | 1,283 |
| May 2024 | 3,808 | 643 | 49 | 864 | 431 | 511 | 1,310 |
| Jun 2024 | 3,324 | 428 | 79 | 781 | 364 | 482 | 1,190 |
| Jul 2024 | 3,673 | 565 | 77 | 766 | 424 | 500 | 1,341 |
| Aug 2024 | 3,709 | 539 | 72 | 795 | 420 | 452 | 1,431 |
| Sep 2024 | 3,346 | 621 | 56 | 743 | 396 | 455 | 1,075 |
| Oct 2024 | 3,205 | 545 | 55 | 751 | 412 | 488 | 954 |
| Nov 2024 | 3,652 | 616 | 70 | 843 | 425 | 462 | 1,236 |
| Dec 2024 | 3,965 | 588 | 54 | 829 | 407 | 460 | 1,627 |
| Jan 2025 | 4,228 | 642 | 77 | 889 | 377 | 478 | 1,765 |
| Feb 2025 | 3,809 | 681 | 62 | 792 | 448 | 428 | 1,398 |
| Mar 2025 | 3,971 | 694 | 66 | 849 | 421 | 459 | 1,482 |
| Apr 2025 | 3,755 | 564 | 57 | 772 | 429 | 447 | 1,486 |
| May 2025 | 4,325 | 648 | 61 | 921 | 442 | 575 | 1,678 |
| Jun 2025 | 3,990 | 636 | 75 | 873 | 403 | 441 | 1,562 |
| Jul 2025 | 4,628 | 672 | 84 | 977 | 512 | 544 | 1,839 |
| Aug 2025 | 3,954 | 733 | 55 | 862 | 359 | 454 | 1,491 |
| Sep 2025 | 3,366 | 537 | 60 | 764 | 363 | 414 | 1,228 |
| Oct 2025 | 3,737 | 621 | 49 | 801 | 395 | 491 | 1,380 |
| Nov 2025 | 4,003 | 749 | 82 | 901 | 462 | 444 | 1,365 |
| Dec 2025 | 4,049 | 708 | 56 | 806 | 409 | 454 | 1,616 |
| Jan 2026 | 4,959 | 567 | 82 | 885 | 489 | 467 | 2,469 |
| Feb 2026 | 3,968 | 525 | 82 | 912 | 464 | 482 | 1,503 |
| Mar 2026 | 4,602 | 694 | 68 | 938 | 521 | 516 | 1,865 |
| Apr 2026 | 4,268 | 645 | 81 | 819 | 466 | 494 | 1,763 |
| May 2026 | 4,201 | 605 | 78 | 844 | 473 | 554 | 1,647 |
| Jun 2026 | 4,302 | 613 | 86 | 960 | 474 | 538 | 1,631 |
| Jul 2026 | 4,115 | 632 | 92 | 910 | 526 | 497 | 1,458 |
| Aug 2026 | 3,853 | 550 | 57 | 774 | 439 | 502 | 1,531 |
| Sep 2026 | 3,992 | 671 | 67 | 931 | 483 | 519 | 1,321 |
| Oct 2026 * | 2,868 | 413 | 50 | 676 | 375 | 379 | 975 |

## All journals

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [China](https://scholar4ai.com/keywords/china.md) |  | 700 | 1,652 | 1,615 | 3,967 |
| [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) |  | 373 | 1,157 | 1,290 | 2,820 |
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) |  | 143 | 763 | 1,583 | 2,489 |
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) |  | 401 | 878 | 897 | 2,176 |
| [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) |  | 535 | 835 | 654 | 2,024 |
| [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) |  | 319 | 845 | 849 | 2,013 |
| state-owned enterprises |  | 277 | 763 | 678 | 1,718 |
| [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) |  | 256 | 622 | 707 | 1,585 |
| [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) |  | 202 | 481 | 631 | 1,314 |
| [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) |  | 178 | 511 | 608 | 1,297 |
| [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) |  | 221 | 499 | 558 | 1,278 |
| [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) |  | 184 | 491 | 571 | 1,246 |
| moderating effect |  | 202 | 594 | 414 | 1,210 |
| [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) |  | 149 | 456 | 543 | 1,148 |
| class imbalance |  | 194 | 459 | 493 | 1,146 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 0, 0, 0, 0, 0, 0, 16, 29, 21, 22, 34, 21, 28, 33, 44, 61, 60, 59, 63, 80, 72, 93, 91, 79, 83, 106, 114, 174, 106, 149, 151, 140, 166, 137, 133, 124, 77 | 2,095 | 394 | 235.6 | +158.4 | ×1.7 |
| Mamba | 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 3, 3, 3, 7, 2, 4, 13, 12, 12, 19, 23, 10, 16, 14, 25, 33, 22, 15, 33, 33, 31, 25, 32, 25, 9 | 336 | 82 | 37.8 | +44.2 | ×2.2 |
| generative AI | 0, 0, 0, 0, 0, 0, 13, 16, 8, 13, 12, 12, 17, 7, 10, 14, 20, 30, 18, 12, 23, 28, 25, 19, 29, 38, 23, 34, 20, 35, 44, 30, 43, 34, 45, 29, 13 | 593 | 108 | 66.7 | +41.3 | ×1.6 |
| AI governance | 0, 0, 0, 0, 0, 0, 5, 3, 3, 3, 2, 5, 4, 0, 4, 6, 3, 9, 5, 6, 7, 18, 5, 8, 13, 7, 9, 6, 8, 15, 13, 24, 12, 13, 27, 17, 7 | 203 | 57 | 22.8 | +34.2 | ×2.5 |
| vision-language models | 0, 0, 0, 0, 0, 0, 3, 1, 3, 5, 7, 9, 3, 7, 6, 12, 10, 8, 11, 13, 15, 21, 15, 17, 18, 19, 28, 45, 38, 32, 31, 35, 29, 31, 23, 27, 18 | 441 | 81 | 49.6 | +31.4 | ×1.6 |
| mixture of experts | 0, 0, 0, 0, 0, 0, 0, 0, 2, 4, 0, 0, 1, 1, 7, 8, 5, 2, 5, 2, 8, 8, 6, 7, 8, 11, 12, 22, 8, 16, 15, 12, 15, 19, 20, 13, 10 | 185 | 52 | 20.8 | +31.2 | ×2.5 |
| absorptive capacity | 0, 0, 0, 0, 0, 0, 6, 4, 4, 1, 7, 3, 3, 6, 7, 4, 6, 2, 3, 7, 9, 3, 4, 1, 7, 6, 10, 10, 9, 9, 8, 8, 5, 17, 12, 15, 8 | 152 | 44 | 17.1 | +26.9 | ×2.6 |
| human-AI collaboration | 0, 0, 0, 0, 0, 0, 3, 6, 3, 4, 0, 2, 5, 1, 3, 5, 5, 14, 5, 3, 6, 11, 4, 6, 4, 9, 8, 11, 3, 9, 13, 8, 12, 12, 15, 17, 8 | 163 | 44 | 18.3 | +25.7 | ×2.4 |
| institutional quality | 0, 0, 0, 0, 0, 0, 10, 17, 10, 12, 14, 14, 10, 8, 5, 15, 10, 15, 14, 21, 17, 23, 13, 19, 12, 16, 16, 23, 15, 28, 25, 24, 28, 27, 16, 31, 11 | 434 | 74 | 48.8 | +25.2 | ×1.5 |
| retrieval-augmented generation | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 1, 2, 2, 3, 8, 4, 6, 6, 5, 7, 4, 9, 6, 12, 10, 14, 18, 23, 17, 22, 14, 14, 17, 8 | 182 | 45 | 20.5 | +24.5 | ×2.2 |

## Finance

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) |  | 278 | 871 | 852 | 2,001 |
| [China](https://scholar4ai.com/keywords/china.md) |  | 296 | 712 | 679 | 1,687 |
| [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) |  | 215 | 608 | 563 | 1,386 |
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) |  | 254 | 576 | 517 | 1,347 |
| state-owned enterprises |  | 186 | 553 | 425 | 1,164 |
| [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) |  | 202 | 291 | 267 | 760 |
| [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) |  | 123 | 279 | 305 | 707 |
| listed companies |  | 116 | 373 | 215 | 704 |
| moderating effect |  | 93 | 374 | 209 | 676 |
| [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) |  | 107 | 233 | 303 | 643 |
| regional heterogeneity |  | 70 | 331 | 227 | 628 |
| [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) |  | 66 | 237 | 196 | 499 |
| [green innovation](https://scholar4ai.com/keywords/green-innovation.md) |  | 64 | 243 | 177 | 484 |
| ESG performance |  | 66 | 201 | 159 | 426 |
| mediating effect |  | 58 | 183 | 170 | 411 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) | 0, 0, 0, 0, 0, 0, 1, 1, 1, 2, 2, 0, 3, 3, 6, 3, 4, 7, 7, 4, 8, 7, 6, 8, 5, 5, 12, 4, 3, 8, 8, 4, 6, 10, 12, 9, 8 | 128 | 31 | 14.2 | +16.8 | ×2.2 |
| asset pricing | 0, 0, 0, 0, 0, 0, 4, 9, 3, 7, 7, 2, 3, 3, 3, 7, 7, 1, 2, 7, 4, 2, 7, 6, 3, 4, 8, 7, 1, 6, 12, 7, 7, 16, 8, 6, 8 | 139 | 30 | 15.5 | +14.5 | ×1.9 |
| tail risk | 0, 0, 0, 0, 0, 0, 5, 7, 1, 6, 5, 5, 4, 2, 2, 3, 5, 11, 4, 5, 6, 8, 4, 3, 2, 5, 6, 10, 10, 2, 3, 10, 13, 13, 5, 11, 2 | 147 | 29 | 16.4 | +12.6 | ×1.8 |
| stablecoins | 0, 0, 0, 0, 0, 0, 2, 1, 0, 1, 0, 3, 1, 0, 1, 3, 1, 1, 2, 2, 1, 0, 3, 1, 0, 4, 1, 2, 1, 5, 1, 4, 4, 4, 5, 8, 2 | 45 | 17 | 5.0 | +12.0 | ×3.4 |
| greenwashing | 0, 0, 0, 0, 0, 0, 4, 6, 2, 5, 4, 1, 5, 2, 5, 3, 1, 0, 6, 4, 12, 4, 5, 4, 6, 4, 5, 4, 3, 4, 6, 8, 1, 5, 11, 8, 3 | 114 | 24 | 12.7 | +11.3 | ×1.9 |
| price discovery | 0, 0, 0, 0, 0, 0, 2, 4, 3, 3, 4, 2, 1, 3, 0, 1, 4, 2, 3, 1, 1, 2, 4, 0, 1, 2, 1, 3, 2, 2, 2, 5, 3, 7, 3, 8, 3 | 61 | 18 | 6.8 | +11.2 | ×2.6 |
| digital infrastructure | 0, 0, 0, 0, 0, 0, 2, 0, 1, 1, 2, 1, 3, 1, 2, 3, 2, 1, 1, 1, 4, 10, 11, 3, 12, 10, 11, 15, 3, 3, 5, 6, 11, 8, 11, 6, 3 | 125 | 25 | 13.9 | +11.1 | ×1.8 |
| monetary policy transmission | 0, 0, 0, 0, 0, 0, 1, 0, 1, 3, 2, 1, 4, 1, 3, 5, 2, 4, 4, 1, 1, 4, 5, 3, 3, 5, 7, 3, 2, 8, 2, 4, 2, 8, 5, 7, 1 | 81 | 20 | 9.0 | +11.0 | ×2.2 |
| macroprudential policy | 0, 0, 0, 0, 0, 0, 3, 4, 1, 4, 0, 2, 5, 7, 2, 3, 5, 4, 5, 4, 1, 4, 3, 7, 5, 1, 3, 2, 8, 9, 5, 5, 6, 13, 3, 7, 7 | 108 | 23 | 12.0 | +11.0 | ×1.9 |
| corporate finance | 0, 0, 0, 0, 0, 0, 1, 5, 2, 0, 4, 1, 3, 1, 2, 6, 4, 1, 2, 2, 3, 1, 5, 2, 3, 2, 1, 1, 1, 4, 2, 1, 4, 7, 3, 8, 4 | 64 | 18 | 7.1 | +10.9 | ×2.5 |

## Accounting

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) |  | 55 | 117 | 157 | 329 |
| [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) |  | 9 | 31 | 49 | 89 |
| [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) |  | 17 | 30 | 38 | 85 |
| audit quality |  | 13 | 31 | 33 | 77 |
| earnings management |  | 14 | 32 | 26 | 72 |
| [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) |  | 17 | 27 | 26 | 70 |
| accounting education |  | 11 | 25 | 27 | 63 |
| state-owned enterprises |  | 8 | 21 | 31 | 60 |
| corporate social responsibility |  | 10 | 20 | 29 | 59 |
| audit fees |  | 10 | 28 | 20 | 58 |
| [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) |  | 7 | 23 | 27 | 57 |
| [China](https://scholar4ai.com/keywords/china.md) |  | 12 | 19 | 25 | 56 |
| financial reporting quality |  | 11 | 23 | 22 | 56 |
| [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) |  | 12 | 29 | 12 | 53 |
| firm performance |  | 7 | 20 | 22 | 49 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| moderating effect | 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 2, 0, 0, 0, 2, 2, 0, 3, 2, 0, 0, 2, 0, 0, 3, 1, 1, 1, 4, 1, 0, 3, 1, 4, 1 | 27 | 8 | 3.2 | +4.8 | ×2.5 |
| data analytics | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 2, 2, 1, 0 | 3 | 5 | 0.4 | +4.6 | ×14.1 |
| information transparency | 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 3, 1, 1, 0 | 8 | 5 | 0.9 | +4.1 | ×5.3 |
| corporate disclosure | 0, 0, 0, 0, 0, 0, 0, 0, 2, 4, 0, 0, 0, 2, 1, 2, 0, 1, 2, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 4, 0, 1, 2, 2, 3, 2, 1 | 25 | 7 | 3.0 | +4.0 | ×2.4 |
| accounting education | 0, 0, 0, 0, 0, 0, 3, 0, 2, 2, 3, 1, 4, 2, 2, 3, 0, 3, 2, 1, 2, 1, 1, 4, 0, 0, 1, 1, 3, 2, 5, 4, 1, 6, 2, 2, 2 | 53 | 10 | 6.3 | +3.7 | ×1.6 |
| financial reporting | 0, 0, 0, 0, 0, 0, 2, 0, 1, 0, 0, 0, 0, 1, 1, 0, 1, 0, 3, 2, 3, 1, 1, 0, 1, 1, 1, 2, 2, 0, 3, 2, 1, 3, 1, 3, 0 | 29 | 7 | 3.4 | +3.6 | ×2.0 |
| ESG performance | 0, 0, 0, 0, 0, 0, 1, 3, 0, 1, 1, 2, 0, 1, 0, 1, 0, 1, 0, 0, 1, 2, 0, 2, 1, 1, 1, 4, 3, 0, 1, 1, 1, 2, 2, 3, 1 | 29 | 7 | 3.4 | +3.6 | ×2.0 |
| generative AI | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 2, 2, 1, 2, 0, 0, 0, 1, 3, 0, 1, 2, 2, 1, 0 | 15 | 5 | 1.8 | +3.2 | ×2.8 |
| Chinese enterprises | 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 2, 0, 1, 0, 0, 2, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 1, 1, 1, 3, 2, 0, 1 | 16 | 5 | 1.9 | +3.1 | ×2.6 |
| [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) | 0, 0, 0, 0, 0, 0, 0, 2, 0, 2, 1, 2, 0, 0, 0, 0, 0, 0, 1, 1, 2, 2, 0, 0, 1, 0, 1, 2, 0, 3, 3, 1, 1, 1, 1, 3, 1 | 25 | 5 | 3.0 | +2.0 | ×1.7 |

## Economics

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [China](https://scholar4ai.com/keywords/china.md) |  | 314 | 789 | 767 | 1,870 |
| [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) |  | 170 | 319 | 236 | 725 |
| economic growth |  | 96 | 204 | 185 | 485 |
| [energy transition](https://scholar4ai.com/keywords/energy-transition.md) |  | 73 | 195 | 210 | 478 |
| income inequality |  | 74 | 199 | 195 | 468 |
| CO2 emissions |  | 80 | 174 | 163 | 417 |
| [financial constraints](https://scholar4ai.com/keywords/financial-constraints.md) |  | 60 | 170 | 187 | 417 |
| developing countries |  | 74 | 159 | 162 | 395 |
| gender differences |  | 88 | 165 | 139 | 392 |
| environmental regulation |  | 64 | 147 | 167 | 378 |
| [monetary policy](https://scholar4ai.com/keywords/monetary-policy.md) |  | 85 | 144 | 146 | 375 |
| [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) |  | 31 | 148 | 195 | 374 |
| state-owned enterprises |  | 57 | 145 | 159 | 361 |
| regional heterogeneity |  | 54 | 163 | 125 | 342 |
| human capital |  | 48 | 144 | 133 | 325 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 0, 0, 0, 0, 0, 0, 2, 7, 10, 4, 8, 11, 6, 5, 7, 4, 7, 7, 4, 5, 8, 10, 9, 7, 8, 9, 10, 7, 9, 7, 3, 7, 6, 12, 10, 13, 7 | 187 | 35 | 21.6 | +13.4 | ×1.6 |
| total factor productivity | 0, 0, 0, 0, 0, 0, 5, 1, 6, 5, 5, 9, 5, 5, 5, 4, 9, 10, 6, 8, 7, 6, 7, 7, 6, 6, 7, 7, 9, 10, 7, 1, 9, 6, 12, 15, 6 | 172 | 33 | 19.8 | +13.2 | ×1.7 |
| absorptive capacity | 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 2, 3, 3, 2, 1, 0, 0, 1, 0, 0, 0, 2, 3, 2, 4, 2, 3, 2, 2, 2, 8, 2, 7, 4 | 37 | 17 | 4.3 | +12.7 | ×4.0 |
| systemic risk | 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 4, 3, 2, 5, 3, 5, 3, 5, 2, 3, 5, 5, 6, 4, 5, 5, 4, 5, 6, 3, 2, 1, 4, 7, 6, 9, 3 | 94 | 22 | 10.8 | +11.2 | ×2.0 |
| digital governance | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 2, 1, 0, 0, 0, 0, 1, 0, 4, 1, 4, 0 | 7 | 9 | 0.8 | +8.2 | ×11.1 |
| Brazil | 0, 0, 0, 0, 0, 0, 3, 1, 5, 5, 2, 2, 4, 3, 4, 2, 5, 8, 3, 5, 7, 5, 1, 6, 2, 6, 4, 4, 10, 4, 6, 2, 5, 6, 7, 8, 2 | 114 | 21 | 13.2 | +7.8 | ×1.6 |
| monetary policy transmission | 0, 0, 0, 0, 0, 0, 1, 2, 4, 5, 4, 0, 2, 2, 2, 7, 0, 2, 2, 2, 6, 8, 4, 3, 2, 2, 2, 3, 7, 4, 5, 5, 7, 7, 3, 8, 7 | 93 | 18 | 10.7 | +7.3 | ×1.7 |
| South Korea | 0, 0, 0, 0, 0, 0, 3, 4, 3, 0, 3, 2, 4, 2, 2, 4, 5, 4, 7, 4, 7, 2, 1, 3, 3, 5, 4, 3, 7, 7, 5, 5, 4, 3, 6, 10, 2 | 103 | 19 | 11.9 | +7.1 | ×1.6 |
| digital divide | 0, 0, 0, 0, 0, 0, 0, 3, 0, 1, 2, 1, 1, 0, 1, 2, 1, 2, 4, 2, 2, 0, 0, 1, 0, 1, 3, 1, 0, 3, 1, 1, 2, 4, 4, 3, 3 | 35 | 11 | 4.0 | +7.0 | ×2.7 |
| industrial policy | 0, 0, 0, 0, 0, 0, 3, 4, 1, 1, 1, 3, 3, 3, 3, 2, 2, 5, 4, 4, 5, 5, 2, 3, 3, 4, 6, 2, 4, 4, 1, 2, 7, 6, 4, 7, 3 | 87 | 17 | 10.0 | +7.0 | ×1.7 |

## Management

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [digital transformation](https://scholar4ai.com/keywords/digital-transformation.md) |  | 74 | 150 | 239 | 463 |
| moderating effect |  | 86 | 151 | 142 | 379 |
| small and medium-sized enterprises |  | 60 | 124 | 143 | 327 |
| [artificial intelligence](https://scholar4ai.com/keywords/artificial-intelligence.md) |  | 41 | 120 | 162 | 323 |
| multinational corporations |  | 70 | 125 | 126 | 321 |
| purchase intention |  | 51 | 130 | 140 | 321 |
| [consumer behavior](https://scholar4ai.com/keywords/consumer-behavior.md) |  | 66 | 131 | 123 | 320 |
| corporate social responsibility |  | 64 | 119 | 134 | 317 |
| [emerging markets](https://scholar4ai.com/keywords/emerging-markets.md) |  | 52 | 106 | 143 | 301 |
| [Chinese listed companies](https://scholar4ai.com/keywords/chinese-listed-companies.md) |  | 40 | 90 | 170 | 300 |
| dynamic capabilities |  | 39 | 86 | 174 | 299 |
| generative AI |  | 36 | 90 | 166 | 292 |
| firm performance |  | 59 | 106 | 113 | 278 |
| [China](https://scholar4ai.com/keywords/china.md) |  | 65 | 87 | 109 | 261 |
| [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) |  | 45 | 102 | 105 | 252 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 0, 0, 0, 0, 0, 0, 1, 5, 3, 4, 0, 2, 2, 0, 1, 3, 5, 3, 3, 1, 0, 3, 2, 5, 5, 5, 6, 5, 4, 5, 9, 6, 6, 14, 6, 10, 6 | 94 | 30 | 11.7 | +18.3 | ×2.6 |
| human-AI collaboration | 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 1, 1, 2, 4, 2, 1, 3, 4, 2, 3, 2, 4, 4, 3, 1, 4, 6, 2, 8, 7, 5, 11, 5 | 62 | 23 | 7.7 | +15.3 | ×3.0 |
| absorptive capacity | 0, 0, 0, 0, 0, 0, 4, 3, 1, 1, 4, 1, 2, 1, 3, 1, 1, 1, 2, 4, 5, 3, 1, 1, 3, 2, 3, 5, 4, 5, 2, 2, 3, 6, 8, 7, 0 | 68 | 21 | 8.5 | +12.5 | ×2.5 |
| signaling theory | 0, 0, 0, 0, 0, 0, 1, 4, 1, 3, 5, 2, 4, 2, 1, 5, 6, 6, 2, 2, 3, 9, 4, 7, 3, 6, 8, 4, 5, 5, 9, 5, 9, 11, 8, 7, 5 | 121 | 26 | 15.1 | +10.9 | ×1.7 |
| institutional quality | 0, 0, 0, 0, 0, 0, 1, 0, 2, 1, 4, 1, 0, 1, 0, 0, 2, 3, 4, 4, 1, 3, 0, 3, 1, 1, 3, 4, 2, 7, 7, 5, 7, 8, 2, 9, 1 | 67 | 19 | 8.4 | +10.6 | ×2.3 |
| knowledge-based view | 0, 0, 0, 0, 0, 0, 1, 0, 3, 1, 2, 2, 1, 3, 3, 1, 2, 0, 3, 1, 2, 5, 1, 3, 2, 3, 3, 2, 3, 3, 4, 2, 2, 6, 3, 7, 0 | 58 | 16 | 7.2 | +8.8 | ×2.2 |
| willingness to pay | 0, 0, 0, 0, 0, 0, 3, 0, 1, 1, 2, 2, 4, 2, 2, 1, 2, 1, 0, 1, 1, 2, 1, 2, 2, 1, 1, 2, 0, 3, 1, 1, 2, 6, 3, 4, 0 | 41 | 13 | 5.1 | +7.9 | ×2.5 |
| consumer trust | 0, 0, 0, 0, 0, 0, 0, 3, 2, 2, 1, 2, 8, 4, 3, 3, 4, 2, 5, 4, 1, 7, 0, 8, 5, 2, 3, 5, 1, 2, 4, 10, 7, 8, 8, 4, 4 | 98 | 20 | 12.2 | +7.8 | ×1.6 |
| influencer marketing | 0, 0, 0, 0, 0, 0, 3, 5, 2, 0, 9, 4, 5, 1, 12, 1, 7, 4, 3, 5, 4, 7, 6, 4, 5, 1, 1, 3, 3, 2, 3, 4, 3, 7, 11, 3, 9 | 107 | 21 | 13.3 | +7.7 | ×1.6 |
| charitable giving | 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 0, 4, 3, 2, 0 | 15 | 9 | 1.9 | +7.1 | ×4.8 |

## Operations Research

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| mixed-integer linear programming |  | 117 | 220 | 248 | 585 |
| multi-objective optimization |  | 96 | 209 | 187 | 492 |
| demand uncertainty |  | 50 | 124 | 161 | 335 |
| mixed integer programming |  | 54 | 132 | 138 | 324 |
| vehicle routing |  | 67 | 102 | 134 | 303 |
| supply chain resilience |  | 45 | 111 | 129 | 285 |
| makespan minimization |  | 51 | 113 | 118 | 282 |
| combinatorial optimization |  | 68 | 112 | 97 | 277 |
| robust optimization |  | 50 | 92 | 111 | 253 |
| adaptive large neighborhood search |  | 31 | 93 | 108 | 232 |
| last-mile delivery |  | 32 | 82 | 103 | 217 |
| metaheuristic optimization |  | 44 | 80 | 78 | 202 |
| two-stage stochastic programming |  | 34 | 78 | 88 | 200 |
| non-convex optimization |  | 27 | 86 | 86 | 199 |
| social welfare (welfare economics) |  | 33 | 89 | 74 | 196 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 1, 1, 0, 0, 2, 0, 1, 2, 2, 1, 4, 2, 5, 8, 5, 3, 10, 11, 7, 8, 8, 13, 14, 12, 11, 5 | 97 | 37 | 11.3 | +25.7 | ×3.3 |
| drone delivery | 0, 0, 0, 0, 0, 0, 2, 3, 1, 2, 0, 1, 7, 2, 1, 5, 2, 2, 3, 1, 2, 3, 4, 2, 3, 6, 2, 0, 5, 3, 1, 3, 4, 9, 11, 6, 2 | 70 | 26 | 8.2 | +17.8 | ×3.2 |
| last-mile delivery | 0, 0, 0, 0, 0, 0, 7, 10, 3, 4, 2, 6, 8, 5, 5, 8, 9, 7, 5, 5, 10, 7, 10, 3, 7, 10, 7, 4, 5, 8, 11, 8, 8, 13, 12, 10, 10 | 182 | 35 | 21.3 | +13.7 | ×1.6 |
| distributionally robust optimization | 0, 0, 0, 0, 0, 0, 4, 7, 3, 8, 1, 5, 6, 5, 5, 3, 3, 3, 11, 4, 4, 7, 8, 4, 13, 8, 5, 6, 5, 7, 7, 7, 8, 9, 12, 8, 7 | 157 | 29 | 18.4 | +10.6 | ×1.6 |
| digital twin | 0, 0, 0, 0, 0, 0, 3, 3, 4, 2, 5, 3, 6, 4, 3, 2, 1, 3, 2, 3, 2, 4, 3, 0, 5, 1, 3, 2, 4, 5, 1, 5, 5, 10, 4, 5, 3 | 84 | 19 | 9.8 | +9.2 | ×1.9 |
| emission reduction | 0, 0, 0, 0, 0, 0, 5, 1, 0, 1, 0, 2, 2, 0, 0, 3, 3, 1, 3, 2, 2, 1, 4, 0, 0, 4, 4, 4, 4, 2, 2, 0, 2, 2, 4, 8, 0 | 52 | 14 | 6.1 | +7.9 | ×2.3 |
| decision support | 0, 0, 0, 0, 0, 0, 5, 1, 3, 1, 1, 1, 1, 2, 0, 2, 0, 0, 1, 2, 4, 4, 1, 5, 1, 3, 2, 3, 6, 3, 2, 2, 7, 7, 6, 2, 2 | 63 | 15 | 7.4 | +7.6 | ×2.0 |
| price competition | 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1, 2, 1, 0, 1, 3, 2, 2, 1, 1, 1, 4, 3, 0, 3, 1, 0, 0, 0, 1, 2, 0, 0, 3, 3, 5, 2 | 31 | 11 | 3.6 | +7.4 | ×3.0 |
| connected and automated vehicles | 0, 0, 0, 0, 0, 0, 2, 1, 3, 3, 4, 2, 2, 4, 4, 2, 2, 1, 5, 4, 5, 1, 3, 3, 2, 2, 1, 2, 1, 2, 1, 5, 1, 6, 6, 3, 3 | 68 | 15 | 8.0 | +7.0 | ×1.9 |
| decision support system | 0, 0, 0, 0, 0, 0, 1, 2, 3, 5, 1, 2, 2, 2, 4, 4, 3, 1, 2, 5, 3, 2, 0, 0, 2, 2, 3, 3, 0, 5, 5, 2, 5, 7, 5, 3, 1 | 69 | 15 | 8.1 | +6.9 | ×1.9 |

## AI

### Most frequent keywords

*Most frequent keywords, Oct 2023 to Sep 2026*

| Keyword | Trend | Oct 23–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 36 months |
|---|---|---:|---:|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) |  | 112 | 669 | 1,301 | 2,082 |
| [graph neural networks](https://scholar4ai.com/keywords/graph-neural-networks.md) |  | 246 | 596 | 663 | 1,505 |
| [contrastive learning](https://scholar4ai.com/keywords/contrastive-learning.md) |  | 174 | 504 | 593 | 1,271 |
| attention mechanism |  | 206 | 460 | 374 | 1,040 |
| class imbalance |  | 176 | 419 | 439 | 1,034 |
| [multimodal fusion](https://scholar4ai.com/keywords/multimodal-fusion.md) |  | 116 | 303 | 521 | 940 |
| interpretability |  | 120 | 320 | 406 | 846 |
| [knowledge distillation](https://scholar4ai.com/keywords/knowledge-distillation.md) |  | 108 | 284 | 407 | 799 |
| self-supervised learning |  | 141 | 331 | 278 | 750 |
| transformer models |  | 108 | 325 | 313 | 746 |
| computational efficiency |  | 107 | 302 | 324 | 733 |
| [explainable AI](https://scholar4ai.com/keywords/explainable-ai.md) |  | 110 | 254 | 369 | 733 |
| diffusion models |  | 42 | 236 | 444 | 722 |
| feature selection |  | 152 | 322 | 245 | 719 |
| data augmentation |  | 120 | 352 | 237 | 709 |

### Fastest-growing keywords

*Keywords with the most papers beyond their earlier share, Jul 2026–Sep 2026 vs Oct 2023–Jun 2026*

| Keyword | Papers per month, Oct 23 – Oct 26* | Papers Oct 2023–Jun 2026 | Papers Jul 2026–Sep 2026 | Expected at earlier share | Extra papers | Share growth |
|---|---|---:|---:|---:|---:|---:|
| [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 0, 0, 0, 0, 0, 0, 13, 19, 15, 18, 30, 17, 22, 32, 39, 54, 54, 51, 57, 70, 66, 80, 82, 62, 66, 89, 100, 152, 84, 125, 126, 120, 141, 97, 105, 96, 55 | 1,784 | 298 | 189.3 | +108.7 | ×1.6 |
| Mamba | 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 3, 3, 3, 7, 2, 4, 13, 12, 12, 18, 23, 10, 15, 14, 25, 32, 22, 14, 32, 33, 30, 25, 32, 24, 9 | 330 | 81 | 35.0 | +46.0 | ×2.3 |
| vision-language models | 0, 0, 0, 0, 0, 0, 3, 1, 3, 5, 7, 9, 3, 7, 6, 12, 10, 8, 11, 13, 15, 21, 14, 16, 18, 17, 26, 44, 35, 32, 31, 32, 29, 30, 22, 26, 17 | 428 | 78 | 45.4 | +32.6 | ×1.7 |
| mixture of experts | 0, 0, 0, 0, 0, 0, 0, 0, 2, 4, 0, 0, 0, 1, 5, 8, 5, 2, 5, 2, 8, 8, 5, 7, 8, 10, 11, 22, 8, 15, 14, 10, 14, 19, 20, 12, 10 | 174 | 51 | 18.5 | +32.5 | ×2.8 |
| state-space model | 0, 0, 0, 0, 0, 0, 0, 2, 0, 1, 1, 1, 1, 1, 2, 2, 1, 2, 4, 4, 5, 12, 10, 5, 2, 9, 16, 17, 8, 10, 15, 17, 14, 13, 17, 13, 2 | 162 | 43 | 17.2 | +25.8 | ×2.5 |
| AI governance | 0, 0, 0, 0, 0, 0, 4, 3, 3, 3, 2, 4, 2, 0, 4, 4, 3, 6, 4, 5, 5, 14, 3, 7, 7, 5, 7, 4, 6, 10, 7, 13, 10, 10, 21, 10, 2 | 145 | 41 | 15.4 | +25.6 | ×2.7 |
| cross-attention | 0, 0, 0, 0, 0, 0, 5, 4, 1, 8, 4, 6, 6, 7, 10, 16, 12, 9, 6, 14, 13, 19, 13, 9, 11, 20, 12, 23, 23, 15, 22, 20, 18, 18, 17, 22, 5 | 326 | 57 | 34.6 | +22.4 | ×1.6 |
| retrieval-augmented generation | 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 2, 2, 3, 8, 4, 6, 6, 5, 6, 4, 9, 6, 12, 10, 12, 18, 21, 15, 20, 14, 13, 13, 8 | 172 | 40 | 18.3 | +21.7 | ×2.2 |
| cross-modal alignment | 0, 0, 0, 0, 0, 0, 4, 1, 2, 3, 4, 0, 1, 2, 4, 6, 3, 4, 5, 1, 4, 11, 11, 2, 4, 10, 14, 14, 16, 16, 23, 15, 12, 19, 15, 8, 6 | 192 | 42 | 20.4 | +21.6 | ×2.1 |
| distribution shift | 0, 0, 0, 0, 0, 0, 10, 8, 6, 6, 9, 2, 6, 6, 7, 11, 8, 13, 13, 8, 4, 16, 11, 9, 4, 12, 14, 25, 16, 26, 18, 18, 24, 22, 15, 15, 8 | 310 | 52 | 32.9 | +19.1 | ×1.6 |

## Questions this page answers

### Which topics in research overall are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “large language models” (394 papers, +158 vs. its earlier share), “Mamba” (82 papers, +44 vs. its earlier share), “generative AI” (108 papers, +41 vs. its earlier share), “AI governance” (57 papers, +34 vs. its earlier share) and “vision-language models” (81 papers, +31 vs. its earlier share).

### Which topics in finance research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “artificial intelligence” (31 papers, +17 vs. its earlier share), “asset pricing” (30 papers, +14 vs. its earlier share), “tail risk” (29 papers, +13 vs. its earlier share), “stablecoins” (17 papers, +12 vs. its earlier share) and “greenwashing” (24 papers, +11 vs. its earlier share).

### Which topics in accounting research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “moderating effect” (8 papers, +5 vs. its earlier share), “data analytics” (5 papers, +5 vs. its earlier share), “information transparency” (5 papers, +4 vs. its earlier share), “corporate disclosure” (7 papers, +4 vs. its earlier share) and “accounting education” (10 papers, +4 vs. its earlier share).

### Which topics in economics research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “corporate governance” (35 papers, +13 vs. its earlier share), “total factor productivity” (33 papers, +13 vs. its earlier share), “absorptive capacity” (17 papers, +13 vs. its earlier share), “systemic risk” (22 papers, +11 vs. its earlier share) and “digital governance” (9 papers, +8 vs. its earlier share).

### Which topics in management research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “large language models” (30 papers, +18 vs. its earlier share), “human-AI collaboration” (23 papers, +15 vs. its earlier share), “absorptive capacity” (21 papers, +12 vs. its earlier share), “signaling theory” (26 papers, +11 vs. its earlier share) and “institutional quality” (19 papers, +11 vs. its earlier share).

### Which topics in operations research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “large language models” (37 papers, +26 vs. its earlier share), “drone delivery” (26 papers, +18 vs. its earlier share), “last-mile delivery” (35 papers, +14 vs. its earlier share), “distributionally robust optimization” (29 papers, +11 vs. its earlier share) and “digital twin” (19 papers, +9 vs. its earlier share).

### Which topics in AI research are growing fastest?

Comparing Jul 2026–Sep 2026 with Oct 2023–Jun 2026, the keywords with the most papers beyond their earlier share were “large language models” (298 papers, +109 vs. its earlier share), “Mamba” (81 papers, +46 vs. its earlier share), “vision-language models” (78 papers, +33 vs. its earlier share), “mixture of experts” (51 papers, +32 vs. its earlier share) and “state-space model” (43 papers, +26 vs. its earlier share).

## Cite this page

Scholar4AI. (2026). Research trends over the last 36 months. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/trends

```bibtex
@misc{scholar4ai-trends,
  author = {{Scholar4AI}},
  title = {Research trends over the last 36 months},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/trends}},
  urldate = {2026-10-26},
  note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).