Eric Shaffer

724 citations
23 papers · 550 · h-index 9

Impact in

Papers in

Eric Shaffer

23 papers receiving 509 citations

Peers

Eric Shaffer
Comparison fields: 5 of 90
  • Computer Graphics and Computer-Aided Design 233
  • Computer Vision and Pattern Recognition 287
  • Computational Mechanics 185
  • Human-Computer Interaction 32
  • Signal Processing 42
Replace Parris K. Egbert with:
Parris K. Egbert United States
Daniel R. Schikore United States
Ching-Kuang Shene United States
Georges‐Pierre Bonneau France
Steven M. Rubin United States
Stephen Chenney United States
Stefan Schlechtweg Germany
Rongfei Jia China
Anselmo Montenegro Brazil
Aleksander Holynski United States
Eric Shaffer relative to Parris K. Egbert United States Parris K. Egbert's profile →
Citations per field
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Parris K. Egbert · 1×
Citations per year

Countries citing papers authored by Eric Shaffer

Since Specialization
Citations

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

Fields of papers citing papers by Eric Shaffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization and computer graphics
2007248
2 200173
3 200250
4 200532
5 199931
6 200330
7 201521
8 201014
9 201010
10 20157
11 20246
12 20076
13 20245
14 20113
15 20033
16 20142
17 20202
18 20082
19 20241
20 20001

About Eric Shaffer

Eric Shaffer is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics, Information Systems, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 23 papers that have together received 550 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (8 papers), Computational Geometry and Mesh Generation (8 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Experimental Learning in Engineering (2 papers), Cloud Computing and Resource Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Advanced Numerical Analysis Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (233 citations), Computer Vision and Pattern Recognition (287 citations), Computational Mechanics (185 citations), Human-Computer Interaction (32 citations) and Signal Processing (42 citations). Eric Shaffer has collaborated with scholars based in United States, Taiwan and Bulgaria. Frequent co-authors include Michael Garland, Georges‐Pierre Bonneau, David S. Ebert, Charles Hansen, Leila De Floriani, Hanspeter Pfister, Rick Parent, Ken Joy, Henry Fuchs and Daniel A. Reed. Their work appears in journals such as Engineering With Computers, Computer, Geosphere, IEEE Transactions on Visualization and Computer Graphics and Journal of Chemical Education.

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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