Michael F. Cohen

102 papers receiving 8.9k citations

Hit Papers

The lumigraph199620262006201619962007200750010001.5k

Peers

Michael F. Cohen
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 8.2k
  • Computer Graphics and Computer-Aided Design 3.8k
  • Computational Mechanics 1.7k
  • Media Technology 1.3k
  • Control and Systems Engineering 704
Replace Dani Lischinski with:
Dani Lischinski Israel
Ren Ng United States
Steven J. Gortler United States
Paul Debevec United States
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Katsushi Ikeuchi Japan
Marcus Magnor Germany
Donald P. Greenberg United States
Eli Shechtman United States
David Salesin United States
Michael F. Cohen relative to Dani Lischinski Israel Dani Lischinski's profile →
Citations per field
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Dani Lischinski · 1×
Citations per year

Countries citing papers authored by Michael F. Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael F. Cohen

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Cohen. A scholar is included among the top collaborators of Michael F. Cohen 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 F. Cohen. Michael F. Cohen 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
#WorkIndexed citations
1 106
2 18
3 90
4
Parallax photography: creating 3D cinematic effects from stills
22
5
Discovering the wiring diagram of the brain.
0
6 230
7 14
8 276
9
Joint bilateral upsamplingbreakdown →
665
10 15
11 108
12 1
13
Declarative camera control for automatic cinematography
109
14
The lumigraphbreakdown →
1746
15 61
16 31
17
The hemi-cube; a radiosity solution for complex environments
106
18 138
19 209
20 7

About Michael F. Cohen

Michael F. Cohen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 103 papers that have together received 9.8k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (55 papers), Computer Graphics and Visualization Techniques (41 papers) and Image Enhancement Techniques (22 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (3.8k citations), Computer Vision and Pattern Recognition (8.2k citations) and Media Technology (1.3k citations). Michael F. Cohen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jue Wang, Donald P. Greenberg, Steven J. Gortler, Richard Szeliski, Johannes Kopf, Radek Grzeszczuk, Matt Uyttendaele, Dani Lischinski, John R. Wallace and Oliver Deußen. Their work appears in journals such as ACM Transactions on Graphics, International Journal of Computer Vision and The International Journal of Robotics Research.

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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