James L. Rash

126 total papers · 1.3k total citations
63 papers, 666 citations indexed

About

James L. Rash is a scholar working on Artificial Intelligence, Computer Networks and Communications and Mechanical Engineering. According to data from OpenAlex, James L. Rash has authored 63 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 30 papers in Computer Networks and Communications and 12 papers in Mechanical Engineering. Recurrent topics in James L. Rash's work include Distributed systems and fault tolerance (27 papers), Advanced Software Engineering Methodologies (19 papers) and Modular Robots and Swarm Intelligence (12 papers). James L. Rash is often cited by papers focused on Distributed systems and fault tolerance (27 papers), Advanced Software Engineering Methodologies (19 papers) and Modular Robots and Swarm Intelligence (12 papers). James L. Rash collaborates with scholars based in United States, United Kingdom and Spain. James L. Rash's co-authors include Mike Hinchey, Christopher Rouff, W. Truszkowski, Roy Sterritt, Walt Truszkowski, Yuanshun Dai, Denis Gračanin, John Erickson, Diana F. Gordon and Xukai Zou and has published in prestigious journals such as Computer Networks, Artificial Intelligence Review and Computer Communications.

In The Last Decade

James L. Rash

57 papers receiving 602 citations

Author Peers

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

Author Last Decade Papers Cites
James L. Rash 365 322 133 112 109 63 666
W. Truszkowski 285 0.8× 270 0.8× 151 1.1× 63 0.6× 52 0.5× 48 557
Daniel Clancy 286 0.8× 139 0.4× 59 0.4× 85 0.8× 87 0.8× 61 603
Michael H. Goldwasser 129 0.4× 174 0.5× 83 0.6× 99 0.9× 84 0.8× 37 672
K. Rangarajan 143 0.4× 129 0.4× 34 0.3× 53 0.5× 62 0.6× 57 623
David J. Musliner 434 1.2× 199 0.6× 34 0.3× 126 1.1× 97 0.9× 61 673
Michel D. Ingham 270 0.7× 170 0.5× 50 0.4× 75 0.7× 133 1.2× 64 588
Ira Pohl 403 1.1× 237 0.7× 16 0.1× 125 1.1× 33 0.3× 35 731
Barry Fagin 140 0.4× 95 0.3× 83 0.6× 111 1.0× 60 0.6× 63 675
Guang Yang 296 0.8× 106 0.3× 30 0.2× 71 0.6× 17 0.2× 35 716
John Sauter 218 0.6× 270 0.8× 121 0.9× 24 0.2× 16 0.1× 51 687

Countries citing papers authored by James L. Rash

Since Specialization
Citations

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

Fields of papers citing papers by James L. Rash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James L. Rash. 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 James L. Rash. The network helps show where James L. Rash may publish in the future.

Co-authorship network of co-authors of James L. Rash

This figure shows the co-authorship network connecting the top 25 collaborators of James L. Rash. A scholar is included among the top collaborators of James L. Rash 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 James L. Rash. James L. Rash 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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