William J. Rapaport

172 total papers · 2.4k total citations
84 papers, 1.0k citations indexed

About

William J. Rapaport is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Experimental and Cognitive Psychology. According to data from OpenAlex, William J. Rapaport has authored 84 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 18 papers in Computational Theory and Mathematics and 13 papers in Experimental and Cognitive Psychology. Recurrent topics in William J. Rapaport's work include Computability, Logic, AI Algorithms (17 papers), Natural Language Processing Techniques (15 papers) and Topic Modeling (14 papers). William J. Rapaport is often cited by papers focused on Computability, Logic, AI Algorithms (17 papers), Natural Language Processing Techniques (15 papers) and Topic Modeling (14 papers). William J. Rapaport collaborates with scholars based in United States and United Kingdom. William J. Rapaport's co-authors include Stuart C. Shapiro, John R. Searle, Janyce Wiebe, Jens Wiebe, Randall R. Dipert, Héctor-Neri Castañeda, Francesco Orilia, Mary Galbraith, Judith Felson Duchan and David A. Zubin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Cognitive Science.

In The Last Decade

William J. Rapaport

80 papers receiving 870 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
William J. Rapaport 501 277 235 190 126 84 1.0k
Michiel van Lambalgen 474 0.9× 244 0.9× 213 0.9× 372 2.0× 45 0.4× 57 1.2k
James H. Fetzer 302 0.6× 208 0.8× 153 0.7× 162 0.9× 75 0.6× 72 1.1k
Joseph S. Ullian 293 0.6× 147 0.5× 180 0.8× 127 0.7× 39 0.3× 33 894
Jan van Eijck 455 0.9× 158 0.6× 134 0.6× 87 0.5× 14 0.1× 57 964
Guy Politzer 458 0.9× 169 0.6× 37 0.2× 187 1.0× 28 0.2× 45 1.1k
Patrick Grim 189 0.4× 178 0.6× 85 0.4× 111 0.6× 30 0.2× 97 1.2k
Michael Franke 398 0.8× 212 0.8× 39 0.2× 132 0.7× 139 1.1× 73 861
Risto Hilpinen 302 0.6× 158 0.6× 85 0.4× 126 0.7× 18 0.1× 41 952
Paul Égré 518 1.0× 360 1.3× 297 1.3× 95 0.5× 19 0.2× 57 914
Selmer Bringsjord 615 1.2× 216 0.8× 308 1.3× 294 1.5× 29 0.2× 130 1.1k

Countries citing papers authored by William J. Rapaport

Since Specialization
Citations

This map shows the geographic impact of William J. Rapaport'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 William J. Rapaport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William J. Rapaport more than expected).

Fields of papers citing papers by William J. Rapaport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Rapaport. 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 William J. Rapaport. The network helps show where William J. Rapaport may publish in the future.

Co-authorship network of co-authors of William J. Rapaport

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Rapaport. A scholar is included among the top collaborators of William J. Rapaport 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 William J. Rapaport. William J. Rapaport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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 authors with similar magnitude of impact

Rankless by CCL
2026