Computational Economics

1.9k papers and 19.0k indexed citations i.

About

The 1.9k papers published in Computational Economics in the last decades have received a total of 19.0k indexed citations. Papers published in Computational Economics usually cover Economics and Econometrics (1.1k papers), Finance (674 papers) and Management Science and Operations Research (585 papers) specifically the topics of Complex Systems and Time Series Analysis (401 papers), Monetary Policy and Economic Impact (325 papers) and Market Dynamics and Volatility (313 papers). The most active scholars publishing in Computational Economics are Christopher A. Sims, Thomas F. Rutherford, Thomas Lux, W. Jill Harrison, Ken Pearson, Manfred Gilli, Evis Këllezi, Giorgio Fagiolo, Daniel Fricke and Robert G. King.

In The Last Decade

Fields of papers published in Computational Economics

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Computational Economics. 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 Computational Economics.

Countries where authors publish in Computational Economics

Since Specialization
Citations

This map shows the geographic impact of research published in Computational Economics. 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 Computational Economics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Computational Economics 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.

Explore journals with similar magnitude of impact

Rankless by CCL
2025