Jim Hayes

13 total papers · 1.4k total citations
7 papers, 938 citations indexed

About

Jim Hayes is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems and Management. According to data from OpenAlex, Jim Hayes has authored 7 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Networks and Communications, 4 papers in Hardware and Architecture and 3 papers in Information Systems and Management. Recurrent topics in Jim Hayes's work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Jim Hayes is often cited by papers focused on Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (4 papers) and Scientific Computing and Data Management (3 papers). Jim Hayes collaborates with scholars based in United States and Singapore. Jim Hayes's co-authors include Rich Wolski, Neil Spring, Shava Smallen, Catherine Olschanowsky, Henri Casanova, Allan Snavely, Nicholas J. Wright, Gene Cooperman, Thomas Witzel and Robert W. Byrnes and has published in prestigious journals such as The Journal of Urology, Future Generation Computer Systems and Cluster Computing.

In The Last Decade

Jim Hayes

7 papers receiving 851 citations

Hit Papers

The network weather servi... 1999 2026 2008 2017 1999 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Jim Hayes 911 451 423 167 37 7 938
S. Fitzgerald 790 0.9× 307 0.7× 286 0.7× 221 1.3× 52 1.4× 10 889
Samuel Lang 794 0.9× 386 0.9× 240 0.6× 102 0.6× 38 1.0× 17 834
Warren Smith 805 0.9× 365 0.8× 410 1.0× 218 1.3× 35 0.9× 32 847
Frank Schmuck 1.0k 1.1× 363 0.8× 299 0.7× 86 0.5× 66 1.8× 13 1.1k
Bill Allcock 880 1.0× 299 0.7× 182 0.4× 204 1.2× 38 1.0× 11 920
Mitchell D. Theys 1.2k 1.3× 670 1.5× 858 2.0× 111 0.7× 83 2.2× 11 1.2k
Cătălin Dumitrescu 745 0.8× 224 0.5× 512 1.2× 207 1.2× 58 1.6× 31 816
K. Keahey 833 0.9× 241 0.5× 529 1.3× 293 1.8× 73 2.0× 28 956
Jarek Gawor 801 0.9× 285 0.6× 224 0.5× 338 2.0× 116 3.1× 17 890
Hamid Arabnejad 854 0.9× 236 0.5× 750 1.8× 162 1.0× 105 2.8× 26 1.1k

Countries citing papers authored by Jim Hayes

Since Specialization
Citations

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

Fields of papers citing papers by Jim Hayes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jim Hayes. 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 Jim Hayes. The network helps show where Jim Hayes may publish in the future.

Co-authorship network of co-authors of Jim Hayes

This figure shows the co-authorship network connecting the top 25 collaborators of Jim Hayes. A scholar is included among the top collaborators of Jim Hayes 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 Jim Hayes. Jim Hayes 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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