Micha Sharir

530 papers receiving 16.2k citations

Peers

Micha Sharir
Comparison fields: 5 of 139
  • Computer Graphics and Computer-Aided Design 11.4k
  • Computer Vision and Pattern Recognition 8.1k
  • Signal Processing 3.3k
  • Computational Theory and Mathematics 4.1k
  • Discrete Mathematics and Combinatorics 766
Replace Bernard Chazelle with:
Bernard Chazelle United States
Pankaj K. Agarwal United States
Emo Welzl Switzerland
David Eppstein United States
Franco P. Preparata United States
Joseph S. B. Mitchell United States
Mikhail J. Atallah United States
Kenneth L. Clarkson United States
John E. Hershberger United States
Sariel Har-Peled United States
Micha Sharir relative to Bernard Chazelle United States Bernard Chazelle's profile →
Citations per field
00.5×2×3×4.3×
Bernard Chazelle · 1×
Citations per year

Countries citing papers authored by Micha Sharir

Since Specialization
Citations

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

Fields of papers citing papers by Micha Sharir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 552 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988712
2 1983649
3 1987400
4 1983378
5 1987371
6 1992370
7 1984345
8 1986293
9 1990257
10
Two approaches to interprocedural data flow analysis
2011254
11 1986244
12 1998208
13 1983205
14 1987189
15
Planning, geometry, and complexity of robot motion
1986170
16 1981165
17 1995148
18 2000146
19 1985143
20 1986143

About Micha Sharir

Micha Sharir is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Signal Processing and Computational Mechanics, having authored 552 papers that have together received 17.5k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (459 papers), Digital Image Processing Techniques (139 papers), Data Management and Algorithms (125 papers), Robotic Path Planning Algorithms (83 papers), Advanced Graph Theory Research (76 papers), Advanced Numerical Analysis Techniques (66 papers), Complexity and Algorithms in Graphs (61 papers) and Point processes and geometric inequalities (53 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (11.4k citations), Computer Vision and Pattern Recognition (8.1k citations), Signal Processing (3.3k citations), Computational Theory and Mathematics (4.1k citations) and Discrete Mathematics and Combinatorics (766 citations). Micha Sharir has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Jacob T. Schwartz, Pankaj K. Agarwal, Leonidas Guibas, Herbert Edelsbrunner, Emo Welzl, Boris S. Aronov, János Pach, Bernard Chazelle, Daniel Leven and Gill Barequet. Their work appears in journals such as Discrete & Computational Geometry, SIAM Journal on Computing, Computational Geometry, Algorithmica and Journal of Combinatorial Theory Series A.

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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