Journal of Forecasting

2.0k papers and 40.7k indexed citations i.

About

The 2.0k papers published in Journal of Forecasting in the last decades have received a total of 40.7k indexed citations. Papers published in Journal of Forecasting usually cover Economics and Econometrics (1.0k papers), General Economics, Econometrics and Finance (841 papers) and Management Science and Operations Research (797 papers) specifically the topics of Monetary Policy and Economic Impact (833 papers), Market Dynamics and Volatility (624 papers) and Forecasting Techniques and Applications (566 papers). The most active scholars publishing in Journal of Forecasting are Clive W. J. Granger, Everette S. Gardner, Ruey S. Tsay, Badi H. Baltagi, R. Ramanathan, James H. Stock, Mark W. Watson, Chris Brooks, J. Scott Armstrong and James W. Taylor.

In The Last Decade

Fields of papers published in Journal of Forecasting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Forecasting. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of Forecasting.

Countries where authors publish in Journal of Forecasting

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Forecasting. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Journal of Forecasting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of Forecasting more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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