International Journal of Forecasting
Key findings
- International Journal of Forecasting published 6 papers in the last 30 days (2026-09-27 to 2026-10-26), ranking #117 of 239 journals.
- Leading institutions: Bank of Lithuania (1), Aarhus University (1) and Vrije Universiteit Amsterdam (1).
- Countries: China (2), Lithuania (1) and Denmark (1).
- From Apr 2024 to Sep 2026, International Journal of Forecasting published 217 papers (7 a month on average, by publication date in OpenAlex).
- Its most frequent keywords over that period were “forecast accuracy” (26), “out-of-sample forecasting” (12) and “probabilistic forecasting” (12).
- Its most-cited paper of the period is “Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data” (2025-03-18), with 29 citations.
The last 30 months
Apr 24Sep 26
| Apr 24–Sep 24 | Oct 24–Sep 25 | Oct 25–Sep 26 | 30 months |
|---|---|---|---|
| 46 | 88 | 83 | 217 |
| # | Keyword | Papers |
|---|---|---|
| 1 | forecast accuracy | 26 |
| 2 | out-of-sample forecasting | 12 |
| 3 | probabilistic forecasting | 12 |
| 4 | macroeconomic forecasting | 11 |
| 5 | time series forecasting | 10 |
| 6 | inflation forecasting | 9 |
| 7 | forecast combination | 8 |
| 8 | forecast evaluation | 8 |
| 9 | efficient market hypothesis | 7 |
| 10 | Bank of England | 6 |
| # | Citations | Per month | Title | Journal | Published | Authors |
|---|---|---|---|---|---|---|
| 1 | 29 | 1.5 | Deep learning and NLP in cryptocurrency forecasting: Integrating financial, blockchain, and social media data | International Journal of Forecasting | 2025-03-18 | Vincent Gurgul, Stefan Lessmann, Wolfgang Karl Härdle |
| 2 | 19 | 1.0 | Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | International Journal of Forecasting | 2025-02-26 | Luis Gruber, Gregor Kastner |
| 3 | 17 | 0.9 | Predicting inflation with recurrent neural networks | International Journal of Forecasting | 2025-03-01 | Livia Paranhos |
| 4 | 9 | 0.5 | On forecast stability | International Journal of Forecasting | 2025-02-25 | Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz et al. |
| 5 | 8 | 0.4 | Hierarchical neural additive models for interpretable demand forecasts | International Journal of Forecasting | 2025-04-30 | Leif Feddersen, Catherine Cleophas |
Cite this page
Scholar4AI. (2026). International Journal of Forecasting. Journal Research Rankings. Retrieved October 26, 2026, from https://scholar4ai.com/journals/international-journal-of-forecasting
@misc{scholar4ai-journals-international-journal-of-forecasting,
author = {{Scholar4AI}},
title = {International Journal of Forecasting},
year = {2026},
howpublished = {\url{https://scholar4ai.com/journals/international-journal-of-forecasting}},
urldate = {2026-10-26},
note = {Journal Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}