Michael Kazhdan

9.0k total citations · 3 hit papers
55 papers, 5.2k citations indexed

About

Michael Kazhdan is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Michael Kazhdan has authored 55 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computer Vision and Pattern Recognition, 33 papers in Computational Mechanics and 29 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Michael Kazhdan's work include 3D Shape Modeling and Analysis (32 papers), Computer Graphics and Visualization Techniques (28 papers) and Image Processing and 3D Reconstruction (13 papers). Michael Kazhdan is often cited by papers focused on 3D Shape Modeling and Analysis (32 papers), Computer Graphics and Visualization Techniques (28 papers) and Image Processing and 3D Reconstruction (13 papers). Michael Kazhdan collaborates with scholars based in United States, United Kingdom and Germany. Michael Kazhdan's co-authors include Hugues Hoppe, Thomas Funkhouser, Szymon Rusinkiewicz, Patrick Min, David Dobkin, Joyce Chen, David Jacobs, Philip Shilane, Ayellet Tal and Patricio Simari and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Communications of the ACM and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Michael Kazhdan

55 papers receiving 4.9k citations

Hit Papers

Screened poisson surface reconstruction 2003 2026 2010 2018 2013 2003 2003 400 800 1.2k

Peers

Michael Kazhdan
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 3.1k
  • Computational Mechanics 2.7k
  • Computer Graphics and Computer-Aided Design 1.7k
  • Geology 938
  • Aerospace Engineering 686
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Citations per field, relative to Michael Kazhdan
Michael Kazhdan · 1×
Citations per year, relative to Michael Kazhdan
Michael Kazhdan · 1×

Countries citing papers authored by Michael Kazhdan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kazhdan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kazhdan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Kazhdan. A scholar is included among the top collaborators of Michael Kazhdan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Kazhdan. Michael Kazhdan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 14
3 9
4 4
5 55
6 4
7 85
8 2
9 14
10 205
11 9
12
The reconstruction of large three-dimensional meshes
3
13
Symmetry Restoration by Stretching
10
14 61
15 63
16 13
17 59
18 385
19 11
20 51

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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