Michael Rubinstein

8.2k citations
65 papers · 5.2k · 4 hit papers · h-index 29

Impact in

Papers in

Michael Rubinstein

62 papers receiving 5.0k citations

Michael Rubinstein's Hit Papers

Looking to listen at the cocktail party 2018 · 388 citations
3880+6+12Years since publication250500750

Peers

Michael Rubinstein
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 2.9k
  • Algebra and Number Theory 274
  • Signal Processing 637
  • Media Technology 476
  • Computer Graphics and Computer-Aided Design 161
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Joan Lasenby United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Eulerian video magnification for revealing subtle changes in the world
Hit paper breakdown →
2012915
2
Improved seam carving for video retargeting
Hit paper breakdown →
2008542
3
Phase-based video motion processing
Hit paper breakdown →
2013527
4
Looking to listen at the cocktail party
Hit paper breakdown →
2018388
5 2009321
6 2010271
7 2014247
8 2013223
9 2012176
10 2014141
11 2015135
12 2015107
13 199499
14 200882
15 201581
16 201674
17 201667
18 201765
19 200161
20 202455

About Michael Rubinstein

Michael Rubinstein is a scholar working on Computer Vision and Pattern Recognition, Algebra and Number Theory, Mathematical Physics, Geometry and Topology and Artificial Intelligence, having authored 65 papers that have together received 5.2k indexed citations. Recurring topics across this work include Analytic Number Theory Research (19 papers), Advanced Vision and Imaging (14 papers), Advanced Image and Video Retrieval Techniques (11 papers), Advanced Algebra and Geometry (10 papers), Advanced Mathematical Identities (9 papers), Algebraic Geometry and Number Theory (8 papers), Visual Attention and Saliency Detection (7 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.9k citations), Algebra and Number Theory (274 citations), Signal Processing (637 citations), Media Technology (476 citations) and Computer Graphics and Computer-Aided Design (161 citations). Michael Rubinstein has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Frédo Durand, Ariel Shamir, William T. Freeman, Shai Avidan, Neal Wadhwa, Eugene Shih, John V. Guttag, William T. Freeman, Haoyu Wu and Ce Liu. Their work appears in journals such as ACM Transactions on Graphics, Journal of Number Theory, Experimental Mathematics, The Ramanujan Journal and Communications of the ACM.

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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