John E. Hershberger

8.1k citations
155 papers · 5.8k · h-index 38

Impact in

Papers in

John E. Hershberger

151 papers receiving 5.4k citations

Peers

John E. Hershberger
Comparison fields: 5 of 121
  • Computer Graphics and Computer-Aided Design 3.3k
  • Signal Processing 1.8k
  • Computer Vision and Pattern Recognition 2.3k
  • Computer Networks and Communications 1.4k
  • Computational Theory and Mathematics 776
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Alok Aggarwal India
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Esther M. Arkin United States
Jiaguang Sun China
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Citations per year

Countries citing papers authored by John E. Hershberger

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hershberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987400
2
Data Structures for Mobile Data
1997264
3
Speeding Up the Douglas-Peucker Line-Simplification Algorithm
1992239
4 1999227
5 1989216
6 2001207
7 1986184
8 1994172
9 2001168
10 1989163
11 1999141
12 2007139
13 1994120
14 1993117
15 1995115
16 1985110
17 199398
18 199297
19 198695
20 200179

About John E. Hershberger

John E. Hershberger is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Computer Networks and Communications, having authored 155 papers that have together received 5.8k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (107 papers), Data Management and Algorithms (63 papers), Robotic Path Planning Algorithms (28 papers), Digital Image Processing Techniques (23 papers), Complexity and Algorithms in Graphs (16 papers), Advanced Numerical Analysis Techniques (15 papers), Computer Graphics and Visualization Techniques (13 papers) and Robotics and Sensor-Based Localization (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3.3k citations), Signal Processing (1.8k citations), Computer Vision and Pattern Recognition (2.3k citations), Computer Networks and Communications (1.4k citations) and Computational Theory and Mathematics (776 citations). John E. Hershberger has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include Subhash Suri, Leonidas Guibas, Jack Scott Snoeyink, Julien Basch, Micha Sharir, Leonidas J. Guibas, Robert Endre Tarjan, Daniel Leven, Li Zhang and Jie Gao. Their work appears in journals such as Computational Geometry, Algorithmica, SIAM Journal on Computing, Discrete & Computational Geometry and Journal of Algorithms.

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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