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

IMF data (IFS, WEO, DOTS)

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data category: Macroeconomic and development indicators · 0 papers in the last 7 days

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Cross-country series on output, prices, trade, population and development.

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Names searched for: International Financial Statistics, IMF IFS, World Economic Outlook database, Direction of Trade Statistics, IMF data

Key findings#

  • From Nov 2023 to Oct 2026, 179 archived papers mentioned IMF data (IFS, WEO, DOTS) in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in May 2025 (11).
  • IMF data (IFS, WEO, DOTS) was mentioned in 4 papers in the last 30 days (2026-10-06 to 2026-11-04), ranking #84 of the 255 datasets mentioned.
  • By journal category: Economics (3) and Management (1).
  • Most of them appeared in Ecological Economics (1), Empirical Economics (1) and Journal of Public Economics (1).
  • From 2017 to 2026 (so far), IMF data (IFS, WEO, DOTS) was mentioned in 189 papers in the tracked journals, most of them in economics (105), finance (49) and management (19).
  • 55 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Centre National de la Recherche Scientifique (7), ISEG - Instituto Superior de Economia e Gestão (7) and University of Lisbon (7).
  • The journals publishing most of them were Journal of International Economics (9), Journal of International Money and Finance (9) and Economic Modelling (6).
  • The most-cited of them is “De-globalization, International Trade Protectionism, and the Reconfigurations of Global Value Chains” (Management International Review, 2023), with 94 citations.
  • Papers use IMF data (IFS, WEO, DOTS) most often with World Development Indicators (World Bank) (62), Eurostat (23) and Economic Policy Uncertainty index (21); it has 57 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

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)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
595664179

Papers per year#

2017: 0 papers2018: 1 paper2019: 0 papers2020: 2 papers2021: 0 papers2022: 0 papers2023: 11 papers2024: 62 papers2025: 55 papers2026 (so far): 58 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Economics0000005442927
Finance0101004101122
Management0001001287
Health Economics and Policy0000000141
Accounting0000000310
AI0000000111
Operations Research0000001110
All categories01020011625558

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Centre National de la Recherche Scientifique7
2ISEG - Instituto Superior de Economia e Gestão7
3University of Lisbon7
4Centre for Economic Policy Research6
5Bank of England5
6Kiel Institute for the World Economy5
7London School of Economics and Political Science5
8NOVA School of Business and Economics5
9Universidade Nova de Lisboa5
10University of Southampton5
Countries with the most papers, since 2023
#CountryPapers
1United Kingdom52
2United States36
3Germany25
4France19
5Australia12
6Italy12
7Spain10
8Portugal10
9China7
10Japan7
Keywords with the most papers, since 2023
#KeywordPapers
1emerging markets25
2inflation15
3developing countries13
4financial development13
5exchange rates12
6foreign direct investment12
7public debt12
8COVID-19 pandemic10
9developed countries10
10financial stability10

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 IMF data (IFS, WEO, DOTS) most often with World Development Indicators (World Bank) (62), Eurostat (23) and Economic Policy Uncertainty index (21); it has 57 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →

What papers use IMF data (IFS, WEO, DOTS) together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
World Development Indicators (World Bank)Dataset6216.7
EurostatDataset234.0
Economic Policy Uncertainty indexDataset212.2
OECD statisticsDataset1611.6
VIXDataset164.2
China Health and Nutrition Survey (CHNS)Dataset1517.0
Worldwide Governance IndicatorsDataset158.5
Marketization index (Fan Gang)Dataset145.3
Penn World TableDataset1418.1
CEPII BACIDataset1217.7
Refinitiv DatastreamDataset128.1
Chinn-Ito financial openness indexDataset1151.6
Papers mentioning IMF data (IFS, WEO, DOTS) in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-22Land-based climate policy, land prices, and the green transition trilemma: Evidence from BoliviaEcological EconomicsGuilherme Magacho, Isabella Rodrigues de Brito, Danilo SpinolaAgence française de développement; Universidade Federal do ABC; Birmingham City University
2026-10-16Resilient or unstable? Real rate regimes in emerging marketsEmpirical EconomicsTürker BATMAZ, Alper Gormus, Elif Hilal NazlıoğluBalıkesir University; Coastal Carolina University; Pamukkale University
2026-10-16The welfare effects of explicit and implicit subsidies on fossil fuelsJournal of Public EconomicsTim Kalmey, Sebastian Rausch, Jan SchneiderCentre for European Economic Research; Heidelberg University; ETH Zurich; …
2026-10-15Does entrepreneurship policy reform institutional conditions? Evidence from India’s Startup India programmeFuture Business JournalGourav Aggarwal, Smita KashiramkaO. P. Jindal Global University; Indian Institute of Technology Delhi
Cite this page

Scholar4AI. (2026). IMF data (IFS, WEO, DOTS). Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/imf-data-ifs-weo-dots

@misc{scholar4ai-datasets-imf-data-ifs-weo-dots,
  author = {{Scholar4AI}},
  title = {IMF data (IFS, WEO, DOTS)},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/imf-data-ifs-weo-dots}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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