Eric Shaffer

832 citations
26 papers · 634 · h-index 10

Impact in

Papers in

Eric Shaffer

24 papers receiving 587 citations

Peers

Eric Shaffer
Comparison fields: 5 of 72
  • Computer Graphics and Computer-Aided Design 288
  • Computer Vision and Pattern Recognition 169
  • Computational Mechanics 153
  • Human-Computer Interaction 19
  • Hardware and Architecture 18
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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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visualization and computer graphics
2007246
2
Efficient Adaptive Simplification of Massive Meshes
200185
3 200174
4 200248
5 199934
6 200534
7 200328
8 201521
9 201014
10 201010
11 20248
12 20156
13 20075
14 20244
15 20033
16 20113
17 20082
18 20142
19 20202
20 20001

About Eric Shaffer

Eric Shaffer is a scholar working on Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Computational Mechanics, Hardware and Architecture and Computer Networks and Communications, having authored 26 papers that have together received 634 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (13 papers), Computational Geometry and Mesh Generation (5 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Distributed and Parallel Computing Systems (2 papers), Parallel Computing and Optimization Techniques (2 papers), 3D Shape Modeling and Analysis (2 papers), Gaze Tracking and Assistive Technology (2 papers) and Groundwater flow and contamination studies (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (288 citations), Computer Vision and Pattern Recognition (169 citations), Computational Mechanics (153 citations), Human-Computer Interaction (19 citations) and Hardware and Architecture (18 citations). Eric Shaffer has collaborated with scholars based in United States, Bulgaria and Taiwan. Frequent co-authors include Michael Garland, Henry Fuchs, Rick Parent, Ken Joy, Rüdiger Westermann, David S. Ebert, Georges‐Pierre Bonneau, Charles D. Hansen, Leila De Floriani and Hanspeter Pfister. Their work appears in journals such as Geosphere, Computer, IEEE Transactions on Visualization and Computer Graphics, Engineering With Computers and Lecture notes in computer science.

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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