---
title: "I/B/E/S: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 236 archived papers mentioned I/B/E/S in their title, abstract, keywords or full text, most of them in Jul 2026 (15)."
url: https://scholar4ai.com/datasets/i-b-e-s
markdown_url: https://scholar4ai.com/datasets/i-b-e-s.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 236 archived papers mentioned I/B/E/S in their title, abstract, keywords or full text, most of them in Jul 2026 (15). (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)
---

# I/B/E/S

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

Sell-side analysts' earnings forecasts, recommendations and price targets.

- data category: Analyst forecasts
- 0 papers in the last 7 days
- Names searched for: I/B/E/S, IBES, Institutional Brokers' Estimate System, Institutional Brokers Estimate System

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Analyst forecasts datasets: https://scholar4ai.com/datasets/analyst-forecasts.md



## Key findings

- From Nov 2023 to Oct 2026, 236 archived papers mentioned I/B/E/S in their title, abstract, keywords or full text, most of them in Jul 2026 (15).
- No paper of the tracked journals mentioned I/B/E/S in the last 30 days (2026-10-07 to 2026-11-05).
- From 2017 to 2026 (so far), I/B/E/S was mentioned in 251 papers in the tracked journals, most of them in finance (85), accounting (72) and management (28).
- 70 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Monash University (10), Bocconi University (7) and Singapore Management University (7).
- The journals publishing most of them were Review of Accounting Studies (50), Review of Quantitative Finance and Accounting (15) and Journal of Banking & Finance (12).
- The most-cited of them is “Artificial Intelligence in the Colonial Matrix of Power” (Philosophy & Technology, 2023), with 148 citations.
- Papers use I/B/E/S most often with Compustat (122), CRSP (102) and 10-K filings (40); it has 68 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts, keywords and full texts)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 69 | 75 | 92 | 236 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Finance](https://scholar4ai.com/categories/finance.md) | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 25 | 20 | 29 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 1 | 2 | 0 | 10 | 14 | 20 | 25 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | 12 | 8 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 5 | 5 |
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 6 | 4 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 4 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 1 | 2 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 2 |
| [Higher Education and Research](https://scholar4ai.com/categories/higher-education-and-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
| [Tourism and Hospitality](https://scholar4ai.com/categories/tourism-and-hospitality.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| All categories | 1 | 0 | 0 | 1 | 2 | 0 | 27 | 70 | 70 | 80 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Review of Accounting Studies](https://scholar4ai.com/journals/review-of-accounting-studies.md) | 50 |
| 2 | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 15 |
| 3 | [Journal of Banking & Finance](https://scholar4ai.com/journals/journal-of-banking-finance.md) | 12 |
| 4 | [Journal of Corporate Finance](https://scholar4ai.com/journals/journal-of-corporate-finance.md) | 10 |
| 5 | [Journal of Business Ethics](https://scholar4ai.com/journals/journal-of-business-ethics.md) | 7 |
| 6 | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 6 |
| 7 | [Journal of Accounting and Economics](https://scholar4ai.com/journals/journal-of-accounting-and-economics.md) | 5 |
| 8 | [Journal of Accounting and Public Policy](https://scholar4ai.com/journals/journal-of-accounting-and-public-policy.md) | 5 |
| 9 | [The British Accounting Review](https://scholar4ai.com/journals/the-british-accounting-review.md) | 5 |
| 10 | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | 5 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 10 |
| 2 | [Bocconi University](https://scholar4ai.com/institutions/bocconi-university.md) | 7 |
| 3 | [Singapore Management University](https://scholar4ai.com/institutions/singapore-management-university.md) | 7 |
| 4 | [University of Leeds](https://scholar4ai.com/institutions/university-of-leeds.md) | 6 |
| 5 | [University of Nottingham](https://scholar4ai.com/institutions/university-of-nottingham.md) | 6 |
| 6 | [University of Southern California](https://scholar4ai.com/institutions/university-of-southern-california.md) | 6 |
| 7 | Ajman University | 5 |
| 8 | [Australian National University](https://scholar4ai.com/institutions/australian-national-university.md) | 4 |
| 9 | [Durham University](https://scholar4ai.com/institutions/durham-university.md) | 4 |
| 10 | [Erasmus University Rotterdam](https://scholar4ai.com/institutions/erasmus-university-rotterdam.md) | 4 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | United States | 88 |
| 2 | United Kingdom | 58 |
| 3 | Australia | 31 |
| 4 | China | 30 |
| 5 | Germany | 21 |
| 6 | Italy | 17 |
| 7 | Singapore | 14 |
| 8 | Hong Kong | 12 |
| 9 | United Arab Emirates | 11 |
| 10 | Spain | 11 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [corporate governance](https://scholar4ai.com/keywords/corporate-governance.md) | 27 |
| 2 | [information asymmetry](https://scholar4ai.com/keywords/information-asymmetry.md) | 23 |
| 3 | analyst coverage | 16 |
| 4 | earnings announcements | 15 |
| 5 | voluntary disclosure | 11 |
| 6 | cost of equity | 10 |
| 7 | [institutional investors](https://scholar4ai.com/keywords/institutional-investors.md) | 10 |
| 8 | earnings forecasts | 9 |
| 9 | institutional ownership | 9 |
| 10 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 8 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 148 | 4.2 | [Artificial Intelligence in the Colonial Matrix of Power](https://doi.org/10.1007/s13347-023-00687-8) | [Philosophy & Technology](https://scholar4ai.com/journals/philosophy-technology.md) | 2023-12-01 | James Muldoon, Boxi Wú |
| 2 | 98 | 2.8 | [The relationship between firm-level climate change exposure, financial integration, cost of capital and investment efficiency](https://doi.org/10.1016/j.jimonfin.2023.102994) | [Journal of International Money and Finance](https://scholar4ai.com/journals/journal-of-international-money-and-finance.md) | 2023-11-19 | Konstantina K. Agoraki, Maria Giaka, Dimitrios Konstantios et al. |
| 3 | 91 | 3.4 | [Framework for Adoption of Generative Artificial Intelligence (GenAI) in Education](https://doi.org/10.1109/te.2024.3432101) | [IEEE Transactions on Education](https://scholar4ai.com/journals/ieee-transactions-on-education.md) | 2024-08-07 | Samar Shailendra, Rajan Kadel, Aakanksha Sharma |
| 4 | 91 | 3.6 | [Explainable deep learning approach for advanced persistent threats (APTs) detection in cybersecurity: a review](https://doi.org/10.1007/s10462-024-10890-4) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-09-18 | Noor Hazlina Abdul Mutalib, Aznul Qalid Md Sabri, Ainuddin Wahid Abdul Wahab et al. |
| 5 | 61 | 0.6 | [Determinants and consequences of information processing delay: Evidence from the Thomson Reuters Institutional Brokers’ Estimate System](https://doi.org/10.1016/j.jfineco.2017.11.005) | [Journal of Financial Economics](https://scholar4ai.com/journals/journal-of-financial-economics.md) | 2017-11-22 | Ferhat Akbas, Stanimir Markov, Musa Subasi et al. |

## Used together with

Papers use I/B/E/S most often with Compustat (122), CRSP (102) and 10-K filings (40); it has 68 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

*What papers use I/B/E/S together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 122 | 36.8 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 102 | 45.5 |
| [10-K filings](https://scholar4ai.com/datasets/10-k-filings.md) | Dataset | 40 | 26.8 |
| [Thomson Reuters 13F holdings](https://scholar4ai.com/datasets/thomson-reuters-13f-holdings.md) | Dataset | 38 | 66.2 |
| [Earnings call transcripts](https://scholar4ai.com/datasets/earnings-call-transcripts.md) | Dataset | 32 | 22.4 |
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 31 | 2.6 |
| [ExecuComp](https://scholar4ai.com/datasets/execucomp.md) | Dataset | 28 | 61.8 |
| [WRDS](https://scholar4ai.com/datasets/wrds.md) | Dataset | 25 | 37.7 |
| [Loughran-McDonald dictionary](https://scholar4ai.com/datasets/loughran-mcdonald-dictionary.md) | Dataset | 24 | 23.1 |
| [BoardEx](https://scholar4ai.com/datasets/boardex.md) | Dataset | 21 | 33.5 |
| [S&P Capital IQ](https://scholar4ai.com/datasets/s-p-capital-iq.md) | Dataset | 21 | 34.7 |
| [SEC EDGAR](https://scholar4ai.com/datasets/sec-edgar.md) | Dataset | 21 | 43.8 |

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

## Cite this page

Scholar4AI. (2026). I/B/E/S. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/i-b-e-s

```bibtex
@misc{scholar4ai-datasets-i-b-e-s,
  author = {{Scholar4AI}},
  title = {I/B/E/S},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/i-b-e-s}},
  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/).