Brian Cabral

2.8k total citations · 2 hit papers
11 papers, 2.1k citations indexed

About

Brian Cabral is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Brian Cabral has authored 11 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Graphics and Computer-Aided Design and 2 papers in Computational Mechanics. Recurrent topics in Brian Cabral's work include Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (4 papers) and Data Visualization and Analytics (3 papers). Brian Cabral is often cited by papers focused on Computer Graphics and Visualization Techniques (6 papers), Advanced Vision and Imaging (4 papers) and Data Visualization and Analytics (3 papers). Brian Cabral collaborates with scholars based in United States, Israel and United Kingdom. Brian Cabral's co-authors include Nelson Max, Marc Olano, John Airey, Mark S. Peercy, Rick Szeliski, Joyce Hsu, Alexander Sorkine‐Hornung, S.G. Azevedo, Ryan Overbeck and Steve Sullivan and has published in prestigious journals such as ACM Transactions on Graphics, ACM SIGGRAPH Computer Graphics and Pure (University of Bath).

In The Last Decade

Brian Cabral

11 papers receiving 1.9k citations

Hit Papers

Imaging vector fields using line integral convolution 1993 2026 2004 2015 1993 1994 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian Cabral United States 8 1.5k 1.3k 977 170 118 11 2.1k
Joe Kniss United States 18 1.4k 1.0× 1.5k 1.2× 753 0.8× 145 0.9× 30 0.3× 30 2.0k
B. C. McCallum New Zealand 11 657 0.4× 627 0.5× 905 0.9× 59 0.3× 143 1.2× 13 2.0k
Hans Hagen Germany 24 717 0.5× 597 0.5× 819 0.8× 56 0.3× 50 0.4× 133 1.7k
Thomas Lewiner Brazil 20 566 0.4× 673 0.5× 638 0.7× 75 0.4× 72 0.6× 71 1.4k
Frank Losasso United States 19 2.0k 1.4× 768 0.6× 2.1k 2.2× 22 0.1× 81 0.7× 19 2.9k
L. Hesselink United States 22 603 0.4× 600 0.5× 540 0.6× 124 0.7× 135 1.1× 80 2.3k
Ronald Peikert Switzerland 20 732 0.5× 594 0.5× 624 0.6× 58 0.3× 76 0.6× 43 1.5k
Xavier Tricoche United States 21 611 0.4× 511 0.4× 438 0.4× 251 1.5× 38 0.3× 58 1.5k
Hamish Carr United Kingdom 23 577 0.4× 979 0.8× 212 0.2× 84 0.5× 79 0.7× 68 1.8k
Barry Joe Canada 20 955 0.6× 260 0.2× 854 0.9× 19 0.1× 100 0.8× 37 1.5k

Countries citing papers authored by Brian Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Brian Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Cabral

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

All Works

11 of 11 papers shown
1.
Hsu, Joyce, et al.. (2019). An integrated 6DoF video camera and system design. ACM Transactions on Graphics. 38(6). 1–16. 40 indexed citations
2.
Richardt, Christian, Peter Hedman, Ryan Overbeck, et al.. (2019). Capture4VR. Pure (University of Bath). 1–319. 5 indexed citations
3.
Sriram, P., et al.. (2008). NVIDIA Tegra. 3 indexed citations
4.
Cabral, Brian, et al.. (1999). Reflection space image based rendering. Open MIND. 165–170. 95 indexed citations
5.
Peercy, Mark S., John Airey, & Brian Cabral. (1997). Efficient bump mapping hardware. 303–306. 75 indexed citations
6.
Cabral, Brian, et al.. (1995). Highly Parallel Vector Visualization Using Line Integral Convolution.. PPSC. 802–807. 10 indexed citations
7.
Cabral, Brian, et al.. (1994). Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. 91–98. 655 indexed citations breakdown →
8.
Azevedo, S.G., et al.. (1994). <title>Tomographic image reconstruction and rendering with texture-mapping hardware</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2299. 280–291. 5 indexed citations
9.
Cabral, Brian, et al.. (1993). Imaging vector fields using line integral convolution. 263–270. 928 indexed citations breakdown →
10.
Cabral, Brian, et al.. (1987). Bidirectional reflection functions from surface bump maps. ACM SIGGRAPH Computer Graphics. 21(4). 273–281. 84 indexed citations
11.
Cabral, Brian, et al.. (1987). Bidirectional reflection functions from surface bump maps. 273–281. 154 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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