Michael V. Capps

588 citations
28 papers · 433 · h-index 12

Impact in

Papers in

Michael V. Capps

26 papers receiving 379 citations

Peers

Michael V. Capps
Comparison fields: 5 of 77
  • Computer Graphics and Computer-Aided Design 80
  • Human-Computer Interaction 54
  • Computer Networks and Communications 120
  • Computer Vision and Pattern Recognition 82
  • Geology 17
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Po‐Han Huang Taiwan
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Citations per year

Countries citing papers authored by Michael V. Capps

Since Specialization
Citations

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

Fields of papers citing papers by Michael V. Capps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael V. Capps. 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 Michael V. Capps. The network helps show where Michael V. Capps may publish in the future.

Co-authors

The 22 scholars most cited alongside Michael V. Capps, 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 Michael V. Capps Line = papers co-authored together Michael V. Capps links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200058
2 199854
3 199837
4 200333
5 200233
6 201831
7 201831
8 202030
9 200027
10 200219
11 200117
12 199712
13 200212
14 19968
15 20027
16 19995
17
Fidelity Optimization in Distributed Virtual Environments
20004
18 20023
19
Proceedings, Web3D - VRML 2000, Fifth symposium on the virtual reality modeling language, Monterey, California, February 21-24, 2000
20003
20 19952

About Michael V. Capps

Michael V. Capps is a scholar working on Computer Graphics and Computer-Aided Design, Computer Networks and Communications, Human-Computer Interaction, Software and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 433 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Distributed and Parallel Computing Systems (5 papers), Peer-to-Peer Network Technologies (4 papers), Multimedia Communication and Technology (4 papers), Usability and User Interface Design (3 papers), Electrical and Bioimpedance Tomography (3 papers), Advanced Data Storage Technologies (2 papers) and 3D Shape Modeling and Analysis (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (80 citations), Human-Computer Interaction (54 citations), Computer Networks and Communications (120 citations), Computer Vision and Pattern Recognition (82 citations) and Geology (17 citations). Michael V. Capps has collaborated with scholars based in United States and France. Frequent co-authors include Marek Teichmann, Michael Zyda, Jennifer L. Mueller, Don Brutzman, David Stotts, Rashmi Murthy, Scott D. Sagel, Robin R. Deterding, Tim Miller and Russell D. Shilling. Their work appears in journals such as IEEE Computer Graphics and Applications, Physiological Measurement, IEEE Transactions on Biomedical Engineering, Journal of Vision and Computer Graphics Forum.

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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