Dan Halperin

5.3k citations
192 papers · 3.9k · h-index 34

Impact in

Papers in

Dan Halperin

184 papers receiving 3.7k citations

Peers

Dan Halperin
Comparison fields: 5 of 122
  • Computer Graphics and Computer-Aided Design 1.6k
  • Computer Vision and Pattern Recognition 2.0k
  • Industrial and Manufacturing Engineering 443
  • Aerospace Engineering 818
  • Signal Processing 295
Replace Chee Keng Yap with:
Chee Keng Yap United States
Nancy M. Amato United States
Tetsuo Asano Japan
Prosenjit K. Bose Canada
R.A. Jarvis Australia
S ́andor P. Fekete Germany
Timothy M. Chan Canada
Philip N. Klein United States
Christian Schulz Germany
Evangelos Kranakis Canada
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Citations per field
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Citations per year

Countries citing papers authored by Dan Halperin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Halperin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007185
2 2016139
3 2000108
4 2008104
5 2002104
6 2006103
7 200887
8 201687
9 199885
10 200680
11
Proceedings of the workshop on Algorithmic foundations of robotics
199579
12 201574
13 199471
14 199364
15 199462
16 200761
17 201860
18 200859
19 201155
20 200552

About Dan Halperin

Dan Halperin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Aerospace Engineering and Computational Mechanics, having authored 192 papers that have together received 3.9k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (120 papers), Robotic Path Planning Algorithms (82 papers), Robotics and Sensor-Based Localization (43 papers), Advanced Numerical Analysis Techniques (26 papers), Optimization and Search Problems (21 papers), Digital Image Processing Techniques (18 papers), Manufacturing Process and Optimization (15 papers) and Computer Graphics and Visualization Techniques (11 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (1.6k citations), Computer Vision and Pattern Recognition (2.0k citations), Industrial and Manufacturing Engineering (443 citations), Aerospace Engineering (818 citations) and Signal Processing (295 citations). Dan Halperin has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Oren Salzman, Kiril Solovey, Micha Sharir, Efi Fogel, Ron Wein, Mark H. Overmars, Randall H. Wilson, Mark de Berg, Pankaj K. Agarwal and Jean‐Claude Latombe. Their work appears in journals such as Computational Geometry, Discrete & Computational Geometry, Springer tracts in advanced robotics, The International Journal of Robotics Research and Computer-Aided Design.

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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