Scholar4AI Updated 2026-11-04 18:03 UTC+09:00

I/B/E/S

Browse dataset profiles

data category: Analyst forecasts · 0 papers in the last 7 days

← Most-used data · All Analyst forecasts datasets

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

Share: X LinkedIn Bluesky Threads Facebook Reddit Hacker News Hatena LINE Email
Copy:

Names searched for: I/B/E/S, IBES, Institutional Brokers' Estimate System, Institutional Brokers Estimate System

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 (2026-10-06 to 2026-11-04).
  • 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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
697592236

Papers per year#

2017: 1 paper2018: 0 papers2019: 0 papers2020: 1 paper2021: 2 papers2022: 0 papers2023: 27 papers2024: 70 papers2025: 70 papers2026 (so far): 80 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Finance10000010252029
Accounting00012010142025
Management00000026128
Health Economics and Policy0000001755
Economics0000001664
AI0000001324
Operations Research0000001312
Information Systems0000001212
Higher Education and Research0000000211
Statistics0000000210
Tourism and Hospitality0000000010
All categories10012027707080

Where the papers come from#

Countries with the most papers, since 2023
#CountryPapers
1United States88
2United Kingdom58
3Australia31
4China30
5Germany21
6Italy17
7Singapore14
8Hong Kong12
9United Arab Emirates11
10Spain11
Keywords with the most papers, since 2023
#KeywordPapers
1corporate governance27
2information asymmetry23
3analyst coverage16
4earnings announcements15
5voluntary disclosure11
6cost of equity10
7institutional investors10
8earnings forecasts9
9institutional ownership9
10COVID-19 pandemic8

Most-cited papers#

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

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. The whole network →

What papers use I/B/E/S together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
CompustatDataset12236.8
CRSPDataset10245.5
10-K filingsDataset4026.8
Thomson Reuters 13F holdingsDataset3866.2
Earnings call transcriptsDataset3222.4
S&P 500Dataset312.6
ExecuCompDataset2861.8
WRDSDataset2537.7
Loughran-McDonald dictionaryDataset2423.1
BoardExDataset2133.5
S&P Capital IQDataset2134.7
SEC EDGARDataset2143.8
Cite this page

Scholar4AI. (2026). I/B/E/S. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/i-b-e-s

@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 = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).