Hagai Kirshner

20 papers and 652 indexed citations i.

About

Hagai Kirshner is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Computational Mechanics. According to data from OpenAlex, Hagai Kirshner has authored 20 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 7 papers in Biophysics and 4 papers in Computational Mechanics. Recurrent topics in Hagai Kirshner’s work include Image and Signal Denoising Methods (9 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Advanced Image Processing Techniques (5 papers). Hagai Kirshner is often cited by papers focused on Image and Signal Denoising Methods (9 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Advanced Image Processing Techniques (5 papers). Hagai Kirshner collaborates with scholars based in Switzerland, Israel and South Korea. Hagai Kirshner's co-authors include Michaël Unser, Daniel Sage, Suliana Manley, Junhong Min, François Aguet, Nico Stuurman, Thomas Pengo, Moshe Porat, Cédric Vonesch and Nicolas Olivier and has published in prestigious journals such as Nature Methods, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Co-authorship network of co-authors of Hagai Kirshner i

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.

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).

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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