Tal Nir

721 citations
14 papers · 515 · h-index 8

Impact in

Papers in

    • Advanced Vision and Imaging 8
    • Optical measurement and interference techniques 3
    • Image and Signal Denoising Methods 2
    • Advanced Image Processing Techniques 2
    • Advanced Image and Video Retrieval Techniques 1
    • Image Processing Techniques and Applications 2

Tal Nir

14 papers receiving 506 citations

Peers

Tal Nir
Comparison fields: 5 of 97
  • Molecular Medicine 117
  • Endocrinology 38
  • Computer Vision and Pattern Recognition 118
  • Ecology 105
  • Genetics 91
Replace Clément Vulin with:
Clément Vulin Switzerland
Jamie Posey United States
Geneviève Garriss Sweden
Mario L. Arrieta‐Ortiz United States
Srinivasan Ramachandran India
Björn A. Lindqvist Sweden
Rout Samuel Switzerland
Nicholas Leiby United States
Yu-Min Chuang United States
Mathilde Boumasmoud Switzerland
Tal Nir relative to Clément Vulin Switzerland Clément Vulin's profile →
Citations per field
00.5×10×20×29.5×
Clément Vulin · 1×
Citations per year

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-authors

The 24 scholars most cited alongside Tal Nir, 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 Tal Nir Line = papers co-authored together Tal Nir links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2020177
2 2009165
3 200786
4 201329
5
Variational Approach for Joint Optic-Flow Computation and Video Restoration
200510
6 202210
7 19969
8 20128
9 20117
10 20044
11 20074
12 20053
13 20082
14 20111

About Tal Nir

Tal Nir is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Social Psychology, Infectious Diseases and Computer Graphics and Computer-Aided Design, having authored 14 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Optical measurement and interference techniques (3 papers), Image and Signal Denoising Methods (2 papers), Advanced Image Processing Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Image Processing Techniques and Applications (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Molecular Medicine (117 citations), Endocrinology (38 citations), Computer Vision and Pattern Recognition (118 citations), Ecology (105 citations) and Genetics (91 citations). Tal Nir has collaborated with scholars based in Israel and France. Frequent co-authors include Shimon Schuldiner, Alfred Marcel Bruckstein, Ron Kimmel, Sarah Melamed, Gil Amitai, Adi Millman, Carmel Avraham, Aude G. Bernheim, Rotem Sorek and Gal Ofir. Their work appears in journals such as Proceedings of the National Academy of Sciences, International Journal of Computer Vision, Nature, Sustainability and Lecture notes in computer science.

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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