Greg Aloupis

42 papers receiving 256 citations

Peers

Greg Aloupis
Comparison fields: 5 of 53
  • Computer Graphics and Computer-Aided Design 107
  • Signal Processing 45
  • Statistics and Probability 28
  • Computer Vision and Pattern Recognition 69
  • Computational Theory and Mathematics 44
Replace Perouz Taslakian with:
Perouz Taslakian Canada
Géraldine Morin France
Masaru Kamada Japan
Joachim K. Anlauf Germany
W. Bruce Culbertson United States
Frank Staals Netherlands
Dongkyung Nam South Korea
Andrew Wan United States
Steven M. Rubin United States
Avinash Sharma India
Greg Aloupis relative to Perouz Taslakian Canada Perouz Taslakian's profile →
Citations per field
00.5×9.3×
Perouz Taslakian · 1×
Citations per year

Countries citing papers authored by Greg Aloupis

Since Specialization
Citations

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

Fields of papers citing papers by Greg Aloupis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200625
2 200322
3 200221
4 200819
5 201517
6 200816
7 200113
8 201213
9 201312
10 20109
11 20127
12
Classic Nintendo Games are (NP-)Hard
20127
13 20116
14 20146
15
Computing a Geometric Measure of the Similarity Between two Melodies
20036
16 20096
17 20095
18 20055
19 20075
20 20134

About Greg Aloupis

Greg Aloupis is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Mechanical Engineering, Signal Processing and Computational Theory and Mathematics, having authored 45 papers that have together received 270 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (30 papers), Digital Image Processing Techniques (6 papers), Modular Robots and Swarm Intelligence (6 papers), Advanced Materials and Mechanics (6 papers), Advanced Graph Theory Research (5 papers), Advanced Numerical Analysis Techniques (5 papers), Advanced Statistical Methods and Models (4 papers) and Smart Parking Systems Research (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (107 citations), Signal Processing (45 citations), Statistics and Probability (28 citations), Computer Vision and Pattern Recognition (69 citations) and Computational Theory and Mathematics (44 citations). Greg Aloupis has collaborated with scholars based in Belgium, United States and Canada. Frequent co-authors include Stefan Langerman, Godfried Toussaint, Erik D. Demaine, Sébastien Collette, Jean Cardinal, Mirela Damian, Stefanie Wuhrer, Joseph O’Rourke, David Rappaport and Francisco Gómez. Their work appears in journals such as Computational Geometry, Discrete & Computational Geometry, Theory of Computing Systems, Robotica 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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