Arie E. Kaufman

12.6k citations
374 papers · 9.3k · h-index 50

Impact in

Papers in

Arie E. Kaufman

358 papers receiving 8.6k citations

Peers

Arie E. Kaufman
Comparison fields: 5 of 167
  • Computer Graphics and Computer-Aided Design 5.2k
  • Computer Vision and Pattern Recognition 5.7k
  • Computational Mechanics 3.7k
  • Human-Computer Interaction 720
  • Biophysics 238
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Greg Turk United States
Paul S. Heckbert United States
Donald P. Greenberg United States
Henry Fuchs United States
W. J. Schroeder United States
Eduard Groeller Austria
Tony DeRose United States
Alan H. Barr United States
Rüdiger Westermann Germany
David Salesin United States
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Citations per field
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Citations per year

Countries citing papers authored by Arie E. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Arie E. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arie E. Kaufman. 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 Arie E. Kaufman. The network helps show where Arie E. Kaufman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 374 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993422
2 2005332
3 1997268
4 2001202
5 1995176
6 1995164
7 2018164
8 1987160
9 1987151
10
Generation of Transfer Functions with Stochastic Search Techniques
1996149
11 2003146
12 1992126
13 1987124
14 1988119
15 2002113
16 1992105
17
3D scan-conversion algorithms for voxel-based graphics.
1986101
18
Cube-4 -- A Scalable Architecture for Real-Time Volume Rendering
199699
19 201697
20 199497

About Arie E. Kaufman

Arie E. Kaufman is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Media Technology, having authored 374 papers that have together received 9.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (254 papers), Advanced Vision and Imaging (119 papers), 3D Shape Modeling and Analysis (116 papers), Medical Image Segmentation Techniques (47 papers), Digital Image Processing Techniques (46 papers), Data Visualization and Analytics (35 papers), Computational Geometry and Mesh Generation (27 papers) and Colorectal Cancer Screening and Detection (26 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (5.2k citations), Computer Vision and Pattern Recognition (5.7k citations), Computational Mechanics (3.7k citations), Human-Computer Interaction (720 citations) and Biophysics (238 citations). Arie E. Kaufman has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Roni Yagel, Daniel C. Cohen, Lichan Hong, Tingshu He, Ingmar Bitter, Feng Qiu, Mueller Klaus, Zhe Yuan Fan, Hanspeter Pfister and Frank T. Dachille. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, Computer Graphics Forum, IEEE Computer Graphics and Applications and Computers & 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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