Hagai Kirshner

1.1k citations
23 papers · 669 indexed · h-index 9

Hagai Kirshner

21 papers receiving 645 citations

Peers

Hagai Kirshner
Comparison fields: 5 of 94
  • Structural Biology 137
  • Biophysics 438
  • Media Technology 88
  • Computer Vision and Pattern Recognition 99
  • Biomedical Engineering 197
Replace A. Descloux with:
A. Descloux Switzerland
Gustafsson Sweden
Dylan Bannon United States
Elias Nehme Israel
Karel Fliegel Czechia
Shikhar Uttam United States
José Angel Conchello United States
Edward A. K. Cohen United Kingdom
Zachary T. Harmany United States
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Countries citing papers authored by Hagai Kirshner

Since Specialization
Citations

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

Fields of papers citing papers by Hagai Kirshner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Hagai Kirshner, 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 Hagai Kirshner Line = papers co-authored together Hagai Kirshner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2015254
2 201421
3 201419
4 2014103
5
Benchmarking image-processing algorithms for biomicroscopy: Reference datasets and perspectives
20134
6 20132
7 20135
8 20131
9 2012190
10 20122
11 20122
12
Maximum-Likelihood Identification of Sampled Gaussian Processes
20111
13
A stochastic minimum-norm approach to image and texture interpolation
20101
14
Continuous-time AR model identification: Does sampling rate really matter?
20101
15 200913
16 20081
17 200710
18 200715
19 20072
20 20060

About Hagai Kirshner

Hagai Kirshner is a scholar working on Biophysics, Structural Biology, Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 23 papers that have together received 669 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (11 papers), Advanced Fluorescence Microscopy Techniques (7 papers), Advanced Image Processing Techniques (5 papers), Control Systems and Identification (5 papers), Image Processing Techniques and Applications (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Fault Detection and Control Systems (3 papers) and Cell Image Analysis Techniques (3 papers). The work is most often cited by research in Structural Biology (137 citations), Biophysics (438 citations), Media Technology (88 citations), Computer Vision and Pattern Recognition (99 citations) and Biomedical Engineering (197 citations). Hagai Kirshner has collaborated with scholars based in Switzerland, Israel and South Korea. Frequent co-authors include Michaël Unser, Daniel Sage, Suliana Manley, François Aguet, Junhong Min, Thomas Pengo, Nico Stuurman, Moshe Porat, Cédric Vonesch and Jong Chul Ye. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Image Processing, Nature Methods, Scientific Reports and Journal of Microscopy.

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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