Jim Thomas

38 papers receiving 1.3k citations

Peers

Jim Thomas
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 620
  • Computer Graphics and Computer-Aided Design 104
  • Signal Processing 142
  • Accounting 119
  • Information Systems and Management 68
Replace Thorsten May with:
Thorsten May Germany
Edward Mulrow United States
Emmanuel Sirimal Silva United Kingdom
Melissa Terras United Kingdom
Enrique Frı́as-Martı́nez Spain
Ángel García-Crespo Spain
Allen R. Sanderson United States
Yuan Zhang China
Dimitris Christopoulos Greece
Jim Thomas relative to Thorsten May Germany Thorsten May's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jim Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Jim Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jim Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jim Thomas Line = papers co-authored together Jim Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008407
2 1999220
3 1981215
4
Proceedings of the conference on Visualization '02
2002167
5 2010105
6 200976
7 200941
8 201024
9 200622
10
Fujimori's Peru : the political economy
199819
11 200117
12 199316
13 200215
14 199613
15 200612
16
Visual analytics: A grand challenge in science - turning information overload into the opportunity of the decade.
200710
17 200910
18 20009
19 20119
20 20069

About Jim Thomas

Jim Thomas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Sociology and Political Science, Economics and Econometrics and Human-Computer Interaction, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Video Analysis and Summarization (4 papers), Multimedia Communication and Technology (3 papers), Taxation and Compliance Studies (3 papers), Semantic Web and Ontologies (3 papers), Complex Network Analysis Techniques (3 papers), Usability and User Interface Design (3 papers) and Data Analysis with R (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (620 citations), Computer Graphics and Computer-Aided Design (104 citations), Signal Processing (142 citations), Accounting (119 citations) and Information Systems and Management (68 citations). Jim Thomas has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel A. Keim, Florian Mansmann, Jorge Larraín, Jörn Schneidewind, Hartmut Ziegler, J. Edward Swan, Hanspeter Pfister, Mike Bailey, Richard May and Pak Chung Wong. Their work appears in journals such as Information Visualization, Journal of Latin American Studies, Contemporary Sociology A Journal of Reviews, Computers & Graphics and The Economic Journal.

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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