Richard J. Lorentz

40 total papers · 557 total citations
10 papers, 177 citations indexed

About

Richard J. Lorentz is a scholar working on Artificial Intelligence, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Richard J. Lorentz has authored 10 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 1 paper in Social Psychology. Recurrent topics in Richard J. Lorentz's work include Digital Games and Media (2 papers), Artificial Intelligence in Games (2 papers) and Natural Language Processing Techniques (2 papers). Richard J. Lorentz is often cited by papers focused on Digital Games and Media (2 papers), Artificial Intelligence in Games (2 papers) and Natural Language Processing Techniques (2 papers). Richard J. Lorentz collaborates with scholars based in United States. Richard J. Lorentz's co-authors include Michael G. Main and David Benson and has published in prestigious journals such as Theoretical Computer Science, Journal of Computer and System Sciences and Journal of Algorithms.

In The Last Decade

Richard J. Lorentz

10 papers receiving 161 citations

Author Peers

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

Author Last Decade Papers Cites
Richard J. Lorentz 145 84 77 40 8 10 177
Marcin Kubica 138 1.0× 57 0.7× 90 1.2× 40 1.0× 20 2.5× 17 176
Noa Lewenstein 132 0.9× 84 1.0× 72 0.9× 38 0.9× 8 1.0× 14 152
S. Cenk Sahinalp 112 0.8× 155 1.8× 75 1.0× 40 1.0× 16 2.0× 11 223
SM Yiu 129 0.9× 148 1.8× 16 0.2× 20 0.5× 27 3.4× 16 240
Volker Heun 109 0.8× 78 0.9× 45 0.6× 35 0.9× 48 6.0× 16 184
Jan Daciuk 241 1.7× 40 0.5× 102 1.3× 17 0.4× 14 1.8× 16 276
Kenneth Krohn 131 0.9× 59 0.7× 217 2.8× 4 0.1× 11 1.4× 10 279
Nicoletta Cocco 101 0.7× 63 0.8× 99 1.3× 9 0.2× 10 1.3× 18 184
S. Yu 90 0.6× 58 0.7× 139 1.8× 4 0.1× 12 1.5× 15 183
Mathieu Baudet 104 0.7× 37 0.4× 35 0.5× 26 0.7× 82 10.3× 10 204

Countries citing papers authored by Richard J. Lorentz

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Lorentz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard J. Lorentz

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

All Works

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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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