---
title: "FRED: papers using this data, journals and trends"
description: "From Nov 2023 to Oct 2026, 212 archived papers mentioned FRED in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (15)."
url: https://scholar4ai.com/datasets/fred
markdown_url: https://scholar4ai.com/datasets/fred.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 212 archived papers mentioned FRED in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 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)
---

# FRED

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

US national accounts, prices, labour statistics and expectation surveys.

- data category: US macroeconomic data
- 0 papers in the last 7 days
- Names searched for: Federal Reserve Economic Data, FRED database, FRED data, FRED-MD, FRED-QD, FRED

Most-used data: https://scholar4ai.com/rankings/datasets.md · All US macroeconomic data datasets: https://scholar4ai.com/datasets/us-macroeconomic-data.md



## Key findings

- From Nov 2023 to Oct 2026, 212 archived papers mentioned FRED in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Sep 2026 (15).
- FRED was mentioned in 8 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #37 of the 246 datasets mentioned.
- By journal category: Finance (3), Economics (3), Management (1) and Statistics (1).
- Most of them appeared in International Review of Economics & Finance (1), International Economics (1) and Journal of Financial Stability (1).
- From 2017 to 2026 (so far), FRED was mentioned in 224 papers in the tracked journals, most of them in economics (121), finance (71) and management (8).
- 57 of them were published in 2025, against 1 in 2017.
- Since 2023, the institutions with the most of these papers were Monash University (6), University of Glasgow (6) and University of Kent (6).
- The journals publishing most of them were Journal of Econometrics (14), Financial Innovation (14) and International Journal of Forecasting (13).
- The most-cited of them is “The biodiversity premium” (Ecological Economics, 2024), with 83 citations.
- Papers use FRED most often with S&P 500 (64), Economic Policy Uncertainty index (50) and VIX (38); it has 53 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 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 |
|---|---:|---:|---:|---:|
|  | 70 | 66 | 76 | 212 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 1 | 3 | 8 | 42 | 31 | 36 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 21 | 20 | 27 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 5 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 5 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| [Health Economics and Policy](https://scholar4ai.com/categories/health-economics-and-policy.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 |
| [Accounting](https://scholar4ai.com/categories/accounting.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All categories | 1 | 0 | 1 | 0 | 2 | 3 | 11 | 74 | 57 | 75 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Journal of Econometrics](https://scholar4ai.com/journals/journal-of-econometrics.md) | 14 |
| 2 | [Financial Innovation](https://scholar4ai.com/journals/financial-innovation.md) | 14 |
| 3 | [International Journal of Forecasting](https://scholar4ai.com/journals/international-journal-of-forecasting.md) | 13 |
| 4 | [Empirical Economics](https://scholar4ai.com/journals/empirical-economics.md) | 10 |
| 5 | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 8 |
| 6 | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | 7 |
| 7 | [European Economic Review](https://scholar4ai.com/journals/european-economic-review.md) | 5 |
| 8 | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 5 |
| 9 | [Structural Change and Economic Dynamics](https://scholar4ai.com/journals/structural-change-and-economic-dynamics.md) | 5 |
| 10 | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | 5 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 6 |
| 2 | [University of Glasgow](https://scholar4ai.com/institutions/university-of-glasgow.md) | 6 |
| 3 | University of Kent | 6 |
| 4 | [BI Norwegian Business School](https://scholar4ai.com/institutions/bi-norwegian-business-school.md) | 5 |
| 5 | [Cardiff University](https://scholar4ai.com/institutions/cardiff-university.md) | 5 |
| 6 | [University of Pretoria](https://scholar4ai.com/institutions/university-of-pretoria.md) | 5 |
| 7 | [Brunel University of London](https://scholar4ai.com/institutions/brunel-university-of-london.md) | 4 |
| 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 4 |
| 9 | Charles University | 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 Kingdom | 61 |
| 2 | United States | 51 |
| 3 | Italy | 27 |
| 4 | Germany | 22 |
| 5 | Spain | 20 |
| 6 | Australia | 13 |
| 7 | China | 13 |
| 8 | France | 12 |
| 9 | Turkey | 12 |
| 10 | South Korea | 10 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | [monetary policy](https://scholar4ai.com/keywords/monetary-policy.md) | 17 |
| 2 | [inflation](https://scholar4ai.com/keywords/inflation.md) | 14 |
| 3 | [COVID-19 pandemic](https://scholar4ai.com/keywords/covid-19-pandemic.md) | 13 |
| 4 | [stock returns](https://scholar4ai.com/keywords/stock-returns.md) | 12 |
| 5 | [United States](https://scholar4ai.com/keywords/united-states.md) | 10 |
| 6 | out-of-sample forecasting | 9 |
| 7 | inflation forecasting | 8 |
| 8 | [unemployment](https://scholar4ai.com/keywords/unemployment.md) | 8 |
| 9 | structural shocks | 7 |
| 10 | [XGBoost](https://scholar4ai.com/keywords/xgboost.md) | 6 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 83 | 3.4 | [The biodiversity premium](https://doi.org/10.1016/j.ecolecon.2024.108435) | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 2024-11-02 | Guillaume Coqueret, Thomas Giroux, Olivier David Zerbib |
| 2 | 79 | 0.8 | [FRED-Net: Fully residual encoder–decoder network for accurate iris segmentation](https://doi.org/10.1016/j.eswa.2019.01.010) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 2019-01-07 | Muhammad Arsalan, Dong Seop Kim, Min Beom Lee et al. |
| 3 | 55 | 1.5 | [The impact of economic policy uncertainty and inflation risk on corporate cash holdings](https://doi.org/10.1007/s11156-023-01224-6) | [Review of Quantitative Finance and Accounting](https://scholar4ai.com/journals/review-of-quantitative-finance-and-accounting.md) | 2023-11-07 | Bijoy Chandra Das, Fakhrul Hasan, Soma Rani Sutradhar |
| 4 | 50 | 1.6 | [Local media sentiment towards pollution and its effect on corporate green innovation](https://doi.org/10.1016/j.irfa.2024.103332) | [International Review of Financial Analysis](https://scholar4ai.com/journals/international-review-of-financial-analysis.md) | 2024-04-20 | He Yu, Shanglin Lu, Ran Wei et al. |
| 5 | 37 | 1.1 | [ESG reputational risk and market valuation: Evidence from the European banking industry](https://doi.org/10.1016/j.ribaf.2024.102286) | [Research in International Business and Finance](https://scholar4ai.com/journals/research-in-international-business-and-finance.md) | 2024-02-23 | Marco Mandas, Oumaima Lahmar, Luca Piras et al. |

## Used together with

Papers use FRED most often with S&P 500 (64), Economic Policy Uncertainty index (50) and VIX (38); it has 53 partners in the code and data network, in the group around S&P 500, Economic Policy…, Compustat.

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

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [S&P 500](https://scholar4ai.com/datasets/s-p-500.md) | Dataset | 64 | 6.0 |
| [Economic Policy Uncertainty index](https://scholar4ai.com/datasets/economic-policy-uncertainty-index.md) | Dataset | 50 | 4.5 |
| [VIX](https://scholar4ai.com/datasets/vix.md) | Dataset | 38 | 8.4 |
| [Marketization index (Fan Gang)](https://scholar4ai.com/datasets/marketization-index-fan-gang.md) | Dataset | 24 | 7.7 |
| [WTI crude oil](https://scholar4ai.com/datasets/wti-crude-oil.md) | Dataset | 24 | 7.9 |
| [CRSP](https://scholar4ai.com/datasets/crsp.md) | Dataset | 21 | 10.5 |
| [Bureau of Economic Analysis](https://scholar4ai.com/datasets/bureau-of-economic-analysis.md) | Dataset | 17 | 18.0 |
| [Compustat](https://scholar4ai.com/datasets/compustat.md) | Dataset | 17 | 5.8 |
| [Bureau of Labor Statistics](https://scholar4ai.com/datasets/bureau-of-labor-statistics.md) | Dataset | 16 | 9.4 |
| [Refinitiv Datastream](https://scholar4ai.com/datasets/refinitiv-datastream.md) | Dataset | 16 | 9.1 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 12 | 0.6 |
| [Geopolitical Risk index](https://scholar4ai.com/datasets/geopolitical-risk-index.md) | Dataset | 11 | 9.8 |

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

## Papers

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

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-27 | [Macro-financial conditions and volatility connectedness across industrial and precious metal markets](https://doi.org/10.1016/j.iref.2026.105971) | [International Review of Economics & Finance](https://scholar4ai.com/journals/international-review-of-economics-finance.md) | Amelie Schischke, Andreas Rathgeber | University of Augsburg |
| 2026-10-26 | [How geopolitical risk and oil price uncertainty shape global supply-chain pressure](https://doi.org/10.1016/j.inteco.2026.100763) | [International Economics](https://scholar4ai.com/journals/international-economics.md) | Mohamed Awada | Université de Montpellier; MBS School of Business |
| 2026-10-24 | [Programmable spreads: Indicators of financial conditions?](https://doi.org/10.1016/j.jfs.2026.101607) | [Journal of Financial Stability](https://scholar4ai.com/journals/journal-of-financial-stability.md) | Kwamie Dunbar, Eugene Yeboah, Victor Zhu | Worcester Polytechnic Institute |
| 2026-10-23 | [From pixels to profits: trading arbitrage portfolios based on image representations](https://doi.org/10.1007/s11408-026-00507-x) | [Financial markets and portfolio management](https://scholar4ai.com/journals/financial-markets-and-portfolio-management.md) | Niklas Paluszkiewicz | Universität Ulm |
| 2026-10-23 | [Evaluating machine learning and econometric models for inflation forecasting: evidence from a Sub-Saharan African panel](https://doi.org/10.1186/s43093-026-01003-4) | [Future Business Journal](https://scholar4ai.com/journals/future-business-journal.md) | Baffour Osei, Abigail Boatemaa, Isaac Nyame et al. | University of Skills Training and Entrepreneurial Development; University of Bradford; Kwame Nkrumah University of Science and Technology; … |
| 2026-10-21 | [Leveraging Machine Learning for Profit Forecasting and Cost Optimization Using Public Financial Data](https://doi.org/10.1007/s10614-026-11455-z) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | Bilal Ahmad, Abdu Salam, Mian Abdulbasit et al. | University of Peshawar; Abdul Wali Khan University Mardan; Yeungnam University; … |
| 2026-10-21 | [Two crises, divergent recoveries: Fiscal policy transmission and labor market dynamics from the Great Recession to COVID-19](https://doi.org/10.1016/j.eap.2026.10.031) | [Economic Analysis and Policy](https://scholar4ai.com/journals/economic-analysis-and-policy.md) | Veysel Avşar, Ahmed Kamara, Niraj Prasad Koirala | Texas A&M University – Corpus Christi; California State University Los Angeles |
| 2026-10-11 | [A Spectral Clustering-Type Algorithm for the Consistent Estimation of the Hurst Distribution in Moderately High Dimensions](https://doi.org/10.1007/s13171-026-00462-9) | [Sankhya A](https://scholar4ai.com/journals/sankhya-a.md) | Patrice Abry, Gustavo Didier, Oliver Orejola et al. | École Normale Supérieure de Lyon; Centre National de la Recherche Scientifique; Laboratoire de Physique de l'ENS de Lyon; … |

## Cite this page

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

```bibtex
@misc{scholar4ai-datasets-fred,
  author = {{Scholar4AI}},
  title = {FRED},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/fred}},
  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/).