Journal of Artificial Intelligence Research

1.8k papers and 83.2k indexed citations i.

About

The 1.8k papers published in Journal of Artificial Intelligence Research in the last decades have received a total of 83.2k indexed citations. Papers published in Journal of Artificial Intelligence Research usually cover Artificial Intelligence (1.4k papers), Computer Networks and Communications (387 papers) and Computational Theory and Mathematics (285 papers) specifically the topics of Logic, Reasoning, and Knowledge (387 papers), AI-based Problem Solving and Planning (294 papers) and Distributed Constraint Optimization Problems and Algorithms (247 papers). The most active scholars publishing in Journal of Artificial Intelligence Research are Nitesh V. Chawla, Kevin W. Bowyer, Lawrence Hall, W. Philip Kegelmeyer, Leslie Pack Kaelbling, Michael L. Littman, Andrew Moore, Tom Dietterich, Peter D. Turney and J. R. Quinlan.

In The Last Decade

Fields of papers published in Journal of Artificial Intelligence Research

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Journal of Artificial Intelligence Research

Since Specialization
Citations

This map shows the geographic impact of research published in Journal of Artificial Intelligence Research. 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 Artificial Intelligence Research 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 Artificial Intelligence Research 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