Joel C. Adams

146 total papers · 1.4k total citations
94 papers, 900 citations indexed

About

Joel C. Adams is a scholar working on Computer Networks and Communications, Computer Science Applications and Hardware and Architecture. According to data from OpenAlex, Joel C. Adams has authored 94 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 36 papers in Computer Science Applications and 32 papers in Hardware and Architecture. Recurrent topics in Joel C. Adams's work include Teaching and Learning Programming (32 papers), Distributed and Parallel Computing Systems (31 papers) and Parallel Computing and Optimization Techniques (25 papers). Joel C. Adams is often cited by papers focused on Teaching and Learning Programming (32 papers), Distributed and Parallel Computing Systems (31 papers) and Parallel Computing and Optimization Techniques (25 papers). Joel C. Adams collaborates with scholars based in United States, United Kingdom and Mauritius. Joel C. Adams's co-authors include Jeffery S. McMullen, Katrina M. Brownell, Elizabeth Shoop, Richard A. Brown, Shakuntala Baichoo, Suzanne J. Matthews, Randall Pruim, Larry W. Fisher, Georg E. Fantner and Paul K. Hansma and has published in prestigious journals such as Communications of the ACM, Entrepreneurship Theory and Practice and Computers & Education.

In The Last Decade

Joel C. Adams

88 papers receiving 849 citations

Author Peers

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

Author Last Decade Papers Cites
Joel C. Adams 347 242 224 162 133 94 900
Stan Kurkovsky 280 0.8× 328 1.4× 192 0.9× 30 0.2× 154 1.2× 92 797
Michael Goldweber 534 1.5× 246 1.0× 69 0.3× 39 0.2× 188 1.4× 86 839
Lillian Cassel 460 1.3× 406 1.7× 118 0.5× 33 0.2× 121 0.9× 126 892
Ann Q. Gates 123 0.4× 219 0.9× 183 0.8× 36 0.2× 39 0.3× 96 802
Salvador Ros 215 0.6× 199 0.8× 135 0.6× 57 0.4× 69 0.5× 104 799
Monica Divitini 181 0.5× 293 1.2× 119 0.5× 10 0.1× 175 1.3× 96 1.0k
Diane T. Rover 76 0.2× 173 0.7× 292 1.3× 254 1.6× 35 0.3× 131 891
Miguel L. Bote‐Lorenzo 480 1.4× 338 1.4× 187 0.8× 30 0.2× 247 1.9× 78 933
Han Reichgelt 182 0.5× 348 1.4× 52 0.2× 10 0.1× 36 0.3× 96 826
Ursula Wolz 526 1.5× 190 0.8× 44 0.2× 52 0.3× 228 1.7× 81 746

Countries citing papers authored by Joel C. Adams

Since Specialization
Citations

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

Fields of papers citing papers by Joel C. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel C. Adams. 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 Joel C. Adams. The network helps show where Joel C. Adams may publish in the future.

Co-authorship network of co-authors of Joel C. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of Joel C. Adams. A scholar is included among the top collaborators of Joel C. Adams 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 Joel C. Adams. Joel C. Adams 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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