James H. Coombs

700 total citations
9 papers, 459 citations indexed

About

James H. Coombs is a scholar working on Artificial Intelligence, Computer Networks and Communications and Human-Computer Interaction. According to data from OpenAlex, James H. Coombs has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Human-Computer Interaction. Recurrent topics in James H. Coombs's work include Natural Language Processing Techniques (2 papers), Usability and User Interface Design (2 papers) and Mathematics, Computing, and Information Processing (1 paper). James H. Coombs is often cited by papers focused on Natural Language Processing Techniques (2 papers), Usability and User Interface Design (2 papers) and Mathematics, Computing, and Information Processing (1 paper). James H. Coombs collaborates with scholars based in United States, Netherlands and Finland. James H. Coombs's co-authors include Allen H. Renear, Steven J. DeRose, Frank Shipman, Catherine C. Marshall, Norman Meyrowitz, Victor Riley, Paul Kahn, Nicole Yankelovich, George Fitzmaurice and W. van Es-Spiekman and has published in prestigious journals such as Communications of the ACM, ACM Transactions on Information Systems and Poetics.

In The Last Decade

James H. Coombs

9 papers receiving 370 citations

Peers

James H. Coombs
Comparison fields: 5 of 61
  • Artificial Intelligence 190
  • Information Systems 145
  • Human-Computer Interaction 116
  • Sociology and Political Science 109
  • Computer Networks and Communications 102
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Citations per field, relative to James H. Coombs
James H. Coombs · 1×
Citations per year, relative to James H. Coombs
James H. Coombs · 1×

Countries citing papers authored by James H. Coombs

Since Specialization
Citations

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

Fields of papers citing papers by James H. Coombs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James H. Coombs

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 157
3
Markup systems and the future of scholarly text processing
55
4 13
5 103
6 1
7 121
8
A Pre-Raphaelite friendship: The correspondence of William Holman Hunt and John Lucas Tupper
1
9 6

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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