---
title: "GDELT: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 60 archived papers mentioned GDELT in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (5)."
url: https://scholar4ai.com/datasets/gdelt
markdown_url: https://scholar4ai.com/datasets/gdelt.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 60 archived papers mentioned GDELT in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (5). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# GDELT

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/3.md)

Search volumes, news archives and web content used to measure attention, news and sentiment.

- data category: Search, news and web data
- 0 papers in the last 7 days
- Names searched for: GDELT

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Search, news and web data datasets: https://scholar4ai.com/datasets/search-news-and-web-data.md



## Key findings

- From Nov 2023 to Oct 2026, 60 archived papers mentioned GDELT in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Oct 2025 (5).
- GDELT was mentioned in 3 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #103 of the 246 datasets mentioned.
- By journal category: AI (2) and Finance (1).
- Most of them appeared in Pattern Recognition (1), Finance research letters (1) and Neural Networks (1).
- From 2017 to 2026 (so far), GDELT was mentioned in 66 papers in the tracked journals, most of them in AI (29), management (12) and finance (9).
- 20 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Northeastern University (6), Copenhagen Business School (4) and North Minzu University (3).
- The journals publishing most of them were Information Processing & Management (5), Expert Systems with Applications (5) and Journal of International Business Studies (3).
- The most-cited of them is “A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal” (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024), with 342 citations.
- Papers use GDELT most often with Twitter / X (12), Facebook (7) and Google Trends (5); it has 10 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 16 | 17 | 27 | 60 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 6 | 9 | 11 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 2 | 3 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 5 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 3 | 1 | 4 | 15 | 20 | 23 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Information Processing & Management](https://scholar4ai.com/journals/information-processing-management.md) | 5 |
| 2 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| 3 | [Journal of International Business Studies](https://scholar4ai.com/journals/journal-of-international-business-studies.md) | 3 |
| 4 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 3 |
| 5 | [Information Sciences](https://scholar4ai.com/journals/information-sciences.md) | 2 |
| 6 | [World Development](https://scholar4ai.com/journals/world-development.md) | 2 |
| 7 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2 |
| 8 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 2 |
| 9 | [International Economics](https://scholar4ai.com/journals/international-economics.md) | 2 |
| 10 | [Journal of Computational Social Science](https://scholar4ai.com/journals/journal-of-computational-social-science.md) | 2 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Northeastern University](https://scholar4ai.com/institutions/northeastern-university.md) | 6 |
| 2 | [Copenhagen Business School](https://scholar4ai.com/institutions/copenhagen-business-school.md) | 4 |
| 3 | North Minzu University | 3 |
| 4 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 2 |
| 5 | [Ludwig-Maximilians-Universität München](https://scholar4ai.com/institutions/ludwig-maximilians-universitat-munchen.md) | 2 |
| 6 | Posts and Telecommunications Institute of Technology | 2 |
| 7 | [Rutgers, The State University of New Jersey](https://scholar4ai.com/institutions/rutgers-the-state-university-of-new-jersey.md) | 2 |
| 8 | [University of Chinese Academy of Sciences](https://scholar4ai.com/institutions/university-of-chinese-academy-of-sciences.md) | 2 |
| 9 | [University of Electronic Science and Technology of China](https://scholar4ai.com/institutions/university-of-electronic-science-and-technology-of-china.md) | 2 |
| 10 | University of Maribor | 2 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 26 |
| 2 | United States | 11 |
| 3 | United Kingdom | 8 |
| 4 | Denmark | 4 |
| 5 | Italy | 4 |
| 6 | Germany | 3 |
| 7 | Netherlands | 3 |
| 8 | United Arab Emirates | 2 |
| 9 | Switzerland | 2 |
| 10 | Spain | 2 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | GDELT | 23 |
| 2 | temporal knowledge graphs | 13 |
| 3 | ICEWS | 12 |
| 4 | knowledge graph reasoning | 7 |
| 5 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 6 |
| 6 | [foreign direct investment](https://scholar4ai.com/keywords/foreign-direct-investment.md) | 4 |
| 7 | news sentiment | 4 |
| 8 | [geopolitical risk](https://scholar4ai.com/keywords/geopolitical-risk.md) | 3 |
| 9 | [interpretability](https://scholar4ai.com/keywords/interpretability.md) | 3 |
| 10 | media coverage | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 342 | 12.1 | [A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multi-Modal](https://doi.org/10.1109/tpami.2024.3417451) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-06-28 | Ke Liang, Lingyuan Meng, Meng Liu et al. |
| 2 | 125 | 2.1 | [Tucker decomposition-based temporal knowledge graph completion](https://doi.org/10.1016/j.knosys.2021.107841) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2021-12-17 | Pengpeng Shao, Dawei Zhang, Guohua Yang et al. |
| 3 | 79 | 2.4 | [Temporal inductive path neural network for temporal knowledge graph reasoning](https://doi.org/10.1016/j.artint.2024.104085) | [Artificial Intelligence](https://scholar4ai.com/journals/artificial-intelligence.md) | 2024-02-01 | Hao Dong, Pengyang Wang, Meng Xiao et al. |
| 4 | 62 | 2.2 | [Neurosymbolic AI for Reasoning Over Knowledge Graphs: A Survey](https://doi.org/10.1109/tnnls.2024.3420218) | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 2024-07-18 | Lauren Nicole DeLong, Ramon Fernández Mir, Jacques Fleuriot |
| 5 | 52 | 4.1 | [A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges](https://doi.org/10.1109/tkde.2025.3621291) | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 2025-10-14 | ZhengZhao Feng, Rui Wang, TianXing Wang et al. |

## Used together with

Papers use GDELT most often with Twitter / X (12), Facebook (7) and Google Trends (5); it has 10 partners in the code and data network, in the group around Twitter / X, Facebook, YouTube / TikTok.

*What papers use GDELT together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 12 | 2.0 |
| [Facebook](https://scholar4ai.com/datasets/facebook.md) | Dataset | 7 | 1.7 |
| [Google Trends](https://scholar4ai.com/datasets/google-trends.md) | Dataset | 5 | 5.6 |
| [Wikipedia](https://scholar4ai.com/datasets/wikipedia.md) | Dataset | 5 | 3.6 |
| [Geopolitical Risk index](https://scholar4ai.com/datasets/geopolitical-risk-index.md) | Dataset | 4 | 12.1 |
| [V-Dem](https://scholar4ai.com/datasets/v-dem.md) | Dataset | 4 | 15.6 |
| [IMDb](https://scholar4ai.com/datasets/imdb.md) | Dataset | 3 | 9.2 |
| [Night-time lights (VIIRS, DMSP)](https://scholar4ai.com/datasets/night-time-lights-viirs-dmsp.md) | Dataset | 3 | 6.4 |
| [RavenPack](https://scholar4ai.com/datasets/ravenpack.md) | Dataset | 3 | 64.0 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 3 | 0.9 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning GDELT in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-23 | [LLM-augmented temporal knowledge graph reasoning: A dual-view of semantics and structures](https://doi.org/10.1016/j.patcog.2026.115212) | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | Jingyuan Yang, Luyi Bai, Jianze Lv et al. | Northeastern University; North Minzu University |
| 2026-10-19 | [Media interpretation, investor attention, and volatility escalation in global financial markets](https://doi.org/10.1016/j.frl.2026.110956) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Zuzana Janková | Brno University of Technology |
| 2026-10-17 | [TFOLQ: first-order logic query over temporal knowledge graph with neural logical operators and hybrid query execution](https://doi.org/10.1016/j.neunet.2026.109748) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Luyi Bai, Yang Gao | North Minzu University; Northeastern University |

## Cite this page

Scholar4AI. (2026). GDELT. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/gdelt

```bibtex
@misc{scholar4ai-datasets-gdelt,
  author = {{Scholar4AI}},
  title = {GDELT},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/gdelt}},
  urldate = {2026-11-05},
  note = {Journal and Conference 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/).