Michael Hirsch

5.5k total citations · 1 hit paper
57 papers, 2.4k citations indexed

About

Michael Hirsch is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Michael Hirsch has authored 57 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 14 papers in Molecular Biology and 13 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Michael Hirsch's work include Advanced Image Processing Techniques (15 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Image and Signal Denoising Methods (8 papers). Michael Hirsch is often cited by papers focused on Advanced Image Processing Techniques (15 papers), Advanced Fluorescence Microscopy Techniques (10 papers) and Image and Signal Denoising Methods (8 papers). Michael Hirsch collaborates with scholars based in Germany, United Kingdom and United States. Michael Hirsch's co-authors include Bernhard Schölkopf, Stefan Harmeling, Wolfgang Quapp, Christian J. Schuler, Dietmar Heidrich, Suvrit Sra, Marisa L. Martin-Fernandez, Daniel J. Rolfe, Kyoung Mu Lee and Tae Hyun Kim and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Michael Hirsch

56 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning to Deblur

2015 376 citations Christian J. Schuler, Michael Hirsch et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael Hirsch Germany	27	1.2k	651	526	385	206	57	2.4k
M. Rosenbluh Israel	33	371 0.3×	216 0.3×	2.1k 4.0×	91 0.2×	122 0.6×	135	4.2k
Peter Jansson Sweden	18	187 0.2×	85 0.1×	185 0.4×	70 0.2×	143 0.7×	88	1.6k
Lionel Moisan France	28	872 0.7×	285 0.4×	77 0.1×	1.5k 3.8×	58 0.3×	73	6.2k
Alan Sussman United States	25	265 0.2×	49 0.1×	120 0.2×	101 0.3×	114 0.6×	158	2.7k
Zhixun Su China	25	2.1k 1.8×	1.0k 1.6×	449 0.9×	22 0.1×	93 0.5×	176	3.3k
George I. Fann United States	15	121 0.1×	162 0.2×	652 1.2×	88 0.2×	6 0.0×	30	1.6k
Mikhail A. Belkin United States	45	398 0.3×	79 0.1×	3.1k 5.8×	269 0.7×	42 0.2×	208	7.6k
R. L. Somorjai Canada	24	167 0.1×	43 0.1×	404 0.8×	532 1.4×	182 0.9×	68	1.7k
S. F. Gull United Kingdom	20	206 0.2×	56 0.1×	185 0.4×	129 0.3×	115 0.6×	50	2.0k
K. Sauer United States	24	850 0.7×	148 0.2×	213 0.4×	196 0.5×	2.7k 13.1×	87	4.0k

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-authorship network of co-authors of Michael Hirsch

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hirsch. A scholar is included among the top collaborators of Michael Hirsch 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 Hirsch. Michael Hirsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zanetti-Domingues, Laura C., Michael Hirsch, Daniel P. Mulvihill, et al.. (2024). Toward quantitative super-resolution methods for cryo-CLEM. Methods in cell biology. 187. 249–292. 2 indexed citations

Colomba, Audrey, Martina Fitzek, Roger George, et al.. (2020). A small molecule inhibitor of HER3: a proof-of-concept study. Biochemical Journal. 477(17). 3329–3347. 8 indexed citations

Hirsch, Michael, Ji Won Yoon, Daniel J. Rolfe, et al.. (2019). A global sampler of single particle tracking solutions for single molecule microscopy. PLoS ONE. 14(10). e0221865–e0221865. 1 indexed citations

Tulyakov, Stepan, François Fleuret, Martin Kiefel, Peter Gehler, & Michael Hirsch. (2019). Learning an event sequence embedding for event-based deep stereo. 1 indexed citations

Claus, Jeroen, Gargi Patel, Flavia Autore, et al.. (2018). Inhibitor-induced HER2-HER3 heterodimerisation promotes proliferation through a novel dimer interface. eLife. 7. 51 indexed citations

Kim, Tae Hyun, Kyoung Mu Lee, Bernhard Schölkopf, & Michael Hirsch. (2017). Online Video Deblurring via Dynamic Temporal Blending Network. 4058–4067. 94 indexed citations

Tynan, Christopher J., Laura C. Zanetti-Domingues, Sarah R. Needham, et al.. (2015). A tale of the epidermal growth factor receptor: The quest for structural resolution on cells. Methods. 95. 86–93. 14 indexed citations

Zanetti-Domingues, Laura C., Michael Hirsch, Christopher J. Tynan, et al.. (2015). Determining the geometry of oligomers of the human epidermal growth factor family on cells with 7 nm resolution. Progress in Biophysics and Molecular Biology. 118(3). 139–152. 6 indexed citations

Webb, S, Michael Hirsch, Sarah R. Needham, et al.. (2015). Nanometric molecular separation measurements by single molecule photobleaching. Methods. 88. 76–80. 8 indexed citations

10.

Schuler, Christian J., Michael Hirsch, Stefan Harmeling, & Bernhard Schölkopf. (2015). Learning to Deblur. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(7). 1439–1451. 376 indexed citations breakdown →

11.

Needham, Sarah R., Michael Hirsch, Daniel J. Rolfe, et al.. (2013). Measuring EGFR Separations on Cells with ∼10 nm Resolution via Fluorophore Localization Imaging with Photobleaching. PLoS ONE. 8(5). e62331–e62331. 32 indexed citations

12.

Hirsch, Michael, et al.. (2013). A Stochastic Model for Electron Multiplication Charge-Coupled Devices – From Theory to Practice. PLoS ONE. 8(1). e53671–e53671. 73 indexed citations

13.

Hirsch, Michael, Bernhard Schölkopf, & Michael Habeck. (2011). A Blind Deconvolution Approach for Improving the Resolution of Cryo-EM Density Maps. Journal of Computational Biology. 18(3). 335–346. 9 indexed citations

14.

Rolfe, Daniel J., Michael Hirsch, Sarah R. Needham, et al.. (2011). Automated multidimensional single molecule fluorescence microscopy feature detection and tracking. European Biophysics Journal. 40(10). 1167–1186. 38 indexed citations

15.

Hirsch, Michael, Stefan Harmeling, Suvrit Sra, & Bernhard Schölkopf. (2011). Online multi-frame blind deconvolution with super-resolution and saturation correction. Astronomy and Astrophysics. 531. A9–A9. 30 indexed citations

16.

Harmeling, Stefan, Michael Hirsch, & Bernhard Schölkopf. (2010). Space-Variant Single-Image Blind Deconvolution for Removing Camera Shake. MPG.PuRe (Max Planck Society). 23. 829–837. 82 indexed citations

17.

Hoen, Peter A.C. ’t, Michael Hirsch, Emile J. de Meijer, et al.. (2010). mRNA degradation controls differentiation state-dependent differences in transcript and splice variant abundance. Nucleic Acids Research. 39(2). 556–566. 26 indexed citations

18.

Dallos, Michal, Hans Lischka, Elizete Ventura, Michael Hirsch, & Wolfgang Quapp. (2002). Determination of energy minima and saddle points using multireference configuration interaction methods in combination with reduced gradient following: The S₀ surface of H₂CO and the T₁ and T₂ surfaces of acetylene. Journal of Computational Chemistry. 23(5). 576–583. 40 indexed citations

19.

Hirsch, Michael & Wolfgang Quapp. (2002). Improved RGF method to find saddle points. Journal of Computational Chemistry. 23(9). 887–894. 40 indexed citations

20.

Quapp, Wolfgang, Michael Hirsch, & Dietmar Heidrich. (2000). Following the streambed reaction on potential-energy surfaces: a new robust method. Theoretical Chemistry Accounts. 105(2). 145–155. 26 indexed citations

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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