Artificial Intelligence

3.3k papers and 197.2k indexed citations

About

The 3.3k papers published in Artificial Intelligence in the last decades have received a total of 197.2k indexed citations. Papers published in Artificial Intelligence usually cover Artificial Intelligence (2.5k papers), Computer Networks and Communications (688 papers) and Computational Theory and Mathematics (645 papers) specifically the topics of Logic, Reasoning, and Knowledge (1.1k papers), AI-based Problem Solving and Planning (750 papers) and Semantic Web and Ontologies (575 papers). The most active scholars publishing in Artificial Intelligence are Nils J. Nilsson, Raymond Reiter, Berthold K. P. Horn, Judea Pearl, Brian G. Schunck, Ron Kohavi, George H. John, Rodney A. Brooks, Johan de Kleer and Mark Stefik.

In The Last Decade

Artificial Intelligence

3.1k papers receiving 174.3k citations

Fields of papers published in Artificial Intelligence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in Artificial Intelligence

Since Specialization
Citations

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