Michael Kearns

13 papers and 96 indexed citations
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About

Michael Kearns is a scholar working on Literature and Literary Theory, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Michael Kearns has authored 13 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Literature and Literary Theory, 3 papers in Artificial Intelligence and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Michael Kearns’s work include Narrative Theory and Analysis (3 papers), Machine Learning and Algorithms (3 papers) and Discourse Analysis in Language Studies (3 papers). Michael Kearns is often cited by papers focused on Narrative Theory and Analysis (3 papers), Machine Learning and Algorithms (3 papers) and Discourse Analysis in Language Studies (3 papers). Michael Kearns collaborates with scholars based in United States and Israel. Michael Kearns's co-authors include Bart Selman, Henry Kautz, Keith Wilson, Dana Ron, Robert E. Schapire, David Haussler, Kenneth J. E. Graham and John C. Batchelor and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Journal of Computer and System Sciences.

In The Last Decade

Co-authorship network of co-authors of Michael Kearns

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kearns. A scholar is included among the top collaborators of Michael Kearns based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Kearns. Michael Kearns is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Michael Kearns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Kearns. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael Kearns. The network helps show where Michael Kearns may publish in the future.

Countries citing papers authored by Michael Kearns

Since Specialization
Citations

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