Michael Hirsch

5.6k citations
56 papers · 2.5k · 1 hit paper · h-index 28

Impact in

Papers in

Michael Hirsch

56 papers receiving 2.4k citations

Michael Hirsch's Hit Papers

Learning to Deblur 2015 · 382 citations
3820+3+7Years since publication100200300

Peers

Michael Hirsch
Comparison fields: 5 of 114
  • Media Technology 654
  • Computer Vision and Pattern Recognition 1.2k
  • Biophysics 120
  • Acoustics and Ultrasonics 19
  • Instrumentation 70
Replace William T. Rhodes with:
William T. Rhodes United States
Mikhail A. Belkin United States
Peter Jansson Sweden
William Hadley Richardson United States
K. Sauer United States
Zhixun Su China
Philippe Réfrégier France
Shigeo Minami Japan
M. Rosenbluh Israel
S. F. Gull United Kingdom
Michael Hirsch relative to William T. Rhodes United States William T. Rhodes's profile →
Citations per field
00.5×7.6×
William T. Rhodes · 1×
Citations per year

Countries citing papers authored by Michael Hirsch

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hirsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to Deblur
Hit paper breakdown →
2015382
2 2011216
3 1998157
4 2010149
5 1998126
6 201799
7 201795
8
Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake
201082
9 201373
10 200467
11 201164
12 201960
13 201255
14 201853
15 201752
16 199947
17 200444
18 201342
19 200241
20 200240

About Michael Hirsch

Michael Hirsch is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Atomic and Molecular Physics, and Optics, Biophysics and Organic Chemistry, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (15 papers), Advanced Fluorescence Microscopy Techniques (10 papers), Advanced Vision and Imaging (8 papers), Image and Signal Denoising Methods (8 papers), Advanced Chemical Physics Studies (6 papers), Image Processing Techniques and Applications (5 papers), HER2/EGFR in Cancer Research (5 papers) and Adaptive optics and wavefront sensing (5 papers). The work is most often cited by research in Media Technology (654 citations), Computer Vision and Pattern Recognition (1.2k citations), Biophysics (120 citations), Acoustics and Ultrasonics (19 citations) and Instrumentation (70 citations). Michael Hirsch has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Bernhard Schölkopf, Stefan Harmeling, Wolfgang Quapp, Christian J. Schuler, Dietmar Heidrich, Suvrit Sra, Marisa L. Martin-Fernandez, Daniel J. Rolfe, Tae Hyun Kim and Kyoung Mu Lee. Their work appears in journals such as Journal of Computational Chemistry, Theoretical Chemistry Accounts, Monthly Notices of the Royal Astronomical Society, PLoS ONE and Journal of Computational Biology.

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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