Brian Whited

22 papers receiving 441 citations

Peers

Brian Whited
Comparison fields: 5 of 64
  • Computer Graphics and Computer-Aided Design 195
  • Computer Vision and Pattern Recognition 192
  • Computational Mechanics 187
  • Geology 17
  • Human-Computer Interaction 16
Replace Damien Rohmer with:
Damien Rohmer France
Alexander L. Hornung United States
Viorel Mihalef United States
Austin J. Herrema United States
Matthieu Nesme France
Antonio Zorcolo Italy
Julien Lenoir United States
Simon Weidert Germany
Shankar P. Sastry United States
K. H. Hoehne Germany
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Countries citing papers authored by Brian Whited

Since Specialization
Citations

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

Fields of papers citing papers by Brian Whited

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Brian Whited, 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 Brian Whited Line = papers co-authored together Brian Whited links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 201469
3 201053
4 201248
5 201146
6 201127
7 201121
8 201215
9 200713
10 200912
11 200910
12 20108
13 20108
14 20098
15 20097
16 19936
17
Hemodynamic assessment of virtual surgery options for a failing Fontan using lumped parameter simulation
20094
18
Value-based physician compensation: a link to performance improvement.
20164
19 20183
20 20172

About Brian Whited

Brian Whited is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Control and Systems Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 22 papers that have together received 448 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (8 papers), Computer Graphics and Visualization Techniques (8 papers), Advanced Numerical Analysis Techniques (5 papers), Human Motion and Animation (4 papers), Advanced Vision and Imaging (3 papers), Congenital Heart Disease Studies (3 papers), Surgical Simulation and Training (2 papers) and Aortic Disease and Treatment Approaches (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (195 citations), Computer Vision and Pattern Recognition (192 citations), Computational Mechanics (187 citations), Geology (17 citations) and Human-Computer Interaction (16 citations). Brian Whited has collaborated with scholars based in United States, Switzerland and Czechia. Frequent co-authors include Jarek Rossignac, Maryann Simmons, Daniel Sýkora, Robert W. Sumner, Gioacchino Noris, Kirk R. Kanter, Ajit P. Yoganathan, Martin Čadík, Kartik S. Sundareswaran and Diane de Zélicourt. Their work appears in journals such as Computer-Aided Design, Computer Graphics Forum, Journal of Thoracic and Cardiovascular Surgery, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

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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