Tal Nir

697 total citations
11 papers, 434 citations indexed

About

Tal Nir is a scholar working on Computer Vision and Pattern Recognition, Social Psychology and Infectious Diseases. According to data from OpenAlex, Tal Nir has authored 11 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Social Psychology and 2 papers in Infectious Diseases. Recurrent topics in Tal Nir's work include Advanced Vision and Imaging (5 papers), Optical measurement and interference techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Tal Nir is often cited by papers focused on Advanced Vision and Imaging (5 papers), Optical measurement and interference techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Tal Nir collaborates with scholars based in Israel. Tal Nir's co-authors include Shimon Schuldiner, Alfred M. Bruckstein⋆, Ron Kimmel, Gil Amitai, Sarah Melamed, Masha M. Rosenberg, Aude Bernheim, Rotem Sorek, Carmel Avraham and Helena Shomar and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and International Journal of Computer Vision.

In The Last Decade

Tal Nir

11 papers receiving 423 citations

Peers

Tal Nir
Comparison fields: 5 of 90
  • Molecular Biology 160
  • Molecular Medicine 117
  • Ecology 98
  • Genetics 92
  • Oncology 72
Replace Clément Vulin with:
Clément Vulin Switzerland
Yu-Min Chuang United States
Chayan Kumar Saha Sweden
Huong Minh Nguyen Vietnam
Akihiro Doi Japan
Minny Bhatty United States
India Hook-Barnard United States
Longxiang Xie China
Jerry D. King Canada
Bachar H. Hassan United States
Clément Vulin Switzerland View profile →
Citations per field, relative to Tal Nir
Tal Nir · 1×
Citations per year, relative to Tal Nir
Tal Nir · 1×

Countries citing papers authored by Tal Nir

Since Specialization
Citations

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

Fields of papers citing papers by Tal Nir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Nir

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 8
2 157
3 29
4 7
5 155
6 2
7 3
8 55
9
Variational Approach for Joint Optic-Flow Computation and Video Restoration
7
10 2
11 9

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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2026