Jim Thomas

2.3k total citations
33 papers, 878 citations indexed

About

Jim Thomas is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Jim Thomas has authored 33 papers receiving a total of 878 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 6 papers in Sociology and Political Science and 5 papers in Artificial Intelligence. Recurrent topics in Jim Thomas's work include Data Visualization and Analytics (14 papers), Video Analysis and Summarization (4 papers) and Complex Network Analysis Techniques (3 papers). Jim Thomas is often cited by papers focused on Data Visualization and Analytics (14 papers), Video Analysis and Summarization (4 papers) and Complex Network Analysis Techniques (3 papers). Jim Thomas collaborates with scholars based in United States, United Kingdom and Germany. Jim Thomas's co-authors include Jorge Larraín, J. Edward Swan, Hanspeter Pfister, Mike Bailey, Daniel A. Keim, Florian Mansmann, Richard May, Pak Chung Wong, H.P. Foote and George Chin and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, The Economic Journal and IEEE Computer Graphics and Applications.

In The Last Decade

Jim Thomas

31 papers receiving 737 citations

Peers

Jim Thomas
Allen R. Sanderson United States
Axel Werwatz Germany
Russell Smith Australia
Judith Bell United Kingdom
Kalin D. Kolev United States
Stuart Jay Deutsch United States
Linda Matthews United States
J. Fdez‐Valdivia Spain
Barry Thomas United Kingdom
Keith Jackson United Kingdom
Allen R. Sanderson United States
Jim Thomas
Citations per year, relative to Jim Thomas Jim Thomas (= 1×) peers Allen R. Sanderson

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-authorship network of co-authors of Jim Thomas

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

All Works

20 of 20 papers shown
1.
Thomas, Jim. (2015). It was people that brought down the Berlin Wall – not process. Journal of Integrated Care. 23(1). 17–22. 1 indexed citations
2.
Wong, Pak Chung, Chaomei Chen, Carsten Görg, et al.. (2011). Graph Analytics-Lessons Learned and Challenges Ahead. IEEE Computer Graphics and Applications. 31(5). 18–29. 8 indexed citations
3.
Thomas, Jim, et al.. (2010). From Visualization to Visually Enabled Reasoning. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 20 indexed citations
4.
Keim, Daniel A., Florian Mansmann, & Jim Thomas. (2010). Visual analytics. ACM SIGKDD Explorations Newsletter. 11(2). 5–8. 83 indexed citations
5.
Wong, Pak Chung & Jim Thomas. (2009). Visual Analytics: Building a Vibrant and Resilient National Science. Information Visualization. 8(4). 302–308. 2 indexed citations
6.
Thomas, Jim, et al.. (2009). Foundations and Frontiers in Visual Analytics. Information Visualization. 8(4). 239–246. 34 indexed citations
7.
Whiting, Mark, Chris North, Alex Endert, et al.. (2009). VAST contest dataset use in education. 115–122. 10 indexed citations
8.
Wong, Pak Chung, et al.. (2008). A Dynamic Multiscale Magnifying Tool for Exploring Large Sparse Graphs. Information Visualization. 7(2). 105–117. 7 indexed citations
9.
Thomas, Jim. (2007). Visual analytics: A grand challenge in science - turning information overload into the opportunity of the decade.. Journal of computing sciences in colleges. 23(2). 5–6. 5 indexed citations
10.
11.
Keim, Daniel A., Jörn Kohlhammer, Thorsten May, & Jim Thomas. (2006). Event Summary of the Workshop on Visual Analytics. Computers & Graphics. 30(2). 284–286. 1 indexed citations
12.
Wong, Pak Chung, et al.. (2005). Visual Analytics and Storytelling through Video. 1 indexed citations
13.
Pfister, Hanspeter, Mike Bailey, J. Edward Swan, & Jim Thomas. (2002). Proceedings of the conference on Visualization '02. IEEE Visualization. 146 indexed citations
14.
15.
Thomas, Jim. (2002). Decent Work in the Informal Sector:Latin America. 2 indexed citations
16.
Thomas, Jim. (2001). What is the Informal Economy, Anyway?. SAIS Review. 21(1). 1–11. 14 indexed citations
17.
Wong, Pak Chung, et al.. (2000). Vector fields simplification — a case study of visualizing climate modeling and simulation data sets. IEEE Visualization. 485–488. 7 indexed citations
18.
Thomas, Jim. (2000). The Black Economy - Benefit frauds or tax evaders?. World Economy. 1(1). 167–175. 3 indexed citations
19.
Thomas, Jim. (1999). Quantifying the Black Economy: ‘measurement Without Theory’ Yet Again?. The Economic Journal. 109(456). 381–389. 192 indexed citations
20.
Thomas, Jim, et al.. (1998). Fujimori's Peru : the political economy. 15 indexed citations

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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