Artificial Intelligence Review

2.7k papers and 103.1k indexed citations

About

The 2.7k papers published in Artificial Intelligence Review in the last decades have received a total of 103.1k indexed citations. Papers published in Artificial Intelligence Review usually cover Artificial Intelligence (1.4k papers), Computer Vision and Pattern Recognition (544 papers) and Computational Theory and Mathematics (327 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (230 papers), Multi-Criteria Decision Making (172 papers) and Topic Modeling (168 papers). The most active scholars publishing in Artificial Intelligence Review are Lior Rokach, Sotiris Kotsiantis, Jim Austin, Joanna Hodge, Derviş Karaboğa, Michael J. Pazzani, Janet L. Kolodner, Andrew Moore, Shifei Ding and Siddharth Swarup Rautaray.

In The Last Decade

Artificial Intelligence Review

2.4k papers receiving 97.1k citations

Peers

Artificial Intelligence Review
Comparison fields: 5 of 244
  • Artificial Intelligence 44.2k
  • Computer Vision and Pattern Recognition 17.0k
  • Information Systems 12.5k
  • Control and Systems Engineering 9.3k
  • Computer Networks and Communications 9.1k
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Citations per field, relative to Artificial Intelligence Review
Artificial Intelligence Review · 1×
Citations per year, relative to Artificial Intelligence Review
Artificial Intelligence Review · 1×

Countries where authors publish in Artificial Intelligence Review

Since Specialization
Citations

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

Fields of papers published in Artificial Intelligence Review

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Artificial Intelligence Review. 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 Artificial Intelligence Review.

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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2026