Jeff Erickson

4.0k citations
116 papers · 2.1k indexed · h-index 26

Impact in

Papers in

Jeff Erickson

111 papers receiving 2.0k citations

Peers

Jeff Erickson
Comparison fields: 5 of 106
  • Computer Graphics and Computer-Aided Design 987
  • Signal Processing 600
  • Computational Theory and Mathematics 621
  • Computer Vision and Pattern Recognition 543
  • Geography, Planning and Development 116
Replace Günter Rote with:
Günter Rote Germany
Chee Yap United States
Steven Fortune United States
Boris Aronov United States
Otfried Schwarzkopf Netherlands
Sunil Arya United States
L. Paul Chew United States
Pat Morin Canada
Tamal K. Dey United States
Nira Dyn Israel
Jeff Erickson relative to Günter Rote Germany Günter Rote's profile →
Citations per field
00.5×2.8×
Günter Rote · 1×
Citations per year

Countries citing papers authored by Jeff Erickson

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Erickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005145
2 2003142
3 2005111
4 1999107
5 200398
6 200092
7
Indexing Moving Points
200068
8 199463
9 200649
10 200448
11 199846
12 200243
13 200937
14 199637
15 199935
16 199834
17 199833
18 200733
19 200533
20 200633

About Jeff Erickson

Jeff Erickson is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 116 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (82 papers), Advanced Graph Theory Research (22 papers), Complexity and Algorithms in Graphs (21 papers), Data Management and Algorithms (19 papers), Digital Image Processing Techniques (19 papers), Algorithms and Data Compression (15 papers), Topological and Geometric Data Analysis (13 papers) and 3D Shape Modeling and Analysis (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (987 citations), Signal Processing (600 citations), Computational Theory and Mathematics (621 citations), Computer Vision and Pattern Recognition (543 citations) and Geography, Planning and Development (116 citations). Jeff Erickson has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Pankaj K. Agarwal, Lars Arge, Kim Whittlesey, Sariel Har-Peled, David Eppstein, David Eppstein, Erin Wolf Chambers, Amir Nayyeri, Éric Colin de Verdière and Shripad Thite. Their work appears in journals such as Discrete & Computational Geometry, Computational Geometry, SIAM Journal on Computing, Journal of Computer and System Sciences and Algorithmica.

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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