Tal Ridnik

996 total citations · 1 hit paper
8 papers, 427 citations indexed

About

Tal Ridnik is a scholar working on Radiation, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tal Ridnik has authored 8 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiation, 4 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tal Ridnik's work include Nuclear Physics and Applications (4 papers), Radiation Detection and Scintillator Technologies (4 papers) and Text and Document Classification Technologies (3 papers). Tal Ridnik is often cited by papers focused on Nuclear Physics and Applications (4 papers), Radiation Detection and Scintillator Technologies (4 papers) and Text and Document Classification Technologies (3 papers). Tal Ridnik collaborates with scholars based in Israel, Cayman Islands and Italy. Tal Ridnik's co-authors include Asaf Noy, Emanuel Ben-Baruch, Itamar Friedman, Lihi Zelnik‐Manor, Matan Protter, Avi Ben-Cohen, Hanania Ettedgui, Raja Giryes and Nadav Zamir and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nuclear Science and Engineering and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Tal Ridnik

8 papers receiving 413 citations

Hit Papers

Asymmetric Loss For Multi-Label Classification 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tal Ridnik Israel 6 255 204 41 23 22 8 427
Di Yang China 12 109 0.4× 103 0.5× 92 2.2× 25 1.1× 9 0.4× 53 438
Suranjana Samanta India 6 93 0.4× 117 0.6× 34 0.8× 35 1.5× 11 0.5× 22 284
Asaf Noy Cayman Islands 4 256 1.0× 205 1.0× 42 1.0× 23 1.0× 21 1.0× 6 409
Emanuel Ben-Baruch Cayman Islands 3 249 1.0× 199 1.0× 41 1.0× 23 1.0× 21 1.0× 3 400
Itamar Friedman Cayman Islands 5 251 1.0× 195 1.0× 41 1.0× 21 0.9× 20 0.9× 6 391
Asim Munir Pakistan 10 186 0.7× 245 1.2× 134 3.3× 10 0.4× 21 1.0× 21 486
Lechao Cheng China 10 139 0.5× 242 1.2× 44 1.1× 14 0.6× 4 0.2× 52 377
Jiancheng Sun China 9 92 0.4× 108 0.5× 16 0.4× 36 1.6× 5 0.2× 34 316
Ahmed Atwan Egypt 12 104 0.4× 177 0.9× 159 3.9× 41 1.8× 11 0.5× 42 492
Henry Gouk United Kingdom 6 163 0.6× 92 0.5× 31 0.8× 28 1.2× 4 0.2× 14 300

Countries citing papers authored by Tal Ridnik

Since Specialization
Citations

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

Fields of papers citing papers by Tal Ridnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Ridnik

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

All Works

8 of 8 papers shown
1.
Ridnik, Tal, et al.. (2023). ML-Decoder: Scalable and Versatile Classification Head. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 32–41. 50 indexed citations
2.
Ben-Baruch, Emanuel, Tal Ridnik, Itamar Friedman, et al.. (2022). Multi-label Classification with Partial Annotations using Class-aware Selective Loss. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4754–4762. 27 indexed citations
3.
Ridnik, Tal, Emanuel Ben-Baruch, Asaf Noy, et al.. (2021). Asymmetric Loss For Multi-Label Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 82–91. 323 indexed citations breakdown →
4.
Noy, Asaf, et al.. (2020). ASAP: Architecture Search, Anneal and Prune. International Conference on Artificial Intelligence and Statistics. 493–503. 7 indexed citations
5.
Ettedgui, Hanania, et al.. (2015). Fissile mass estimation by pulsed neutron source interrogation. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 785. 14–20. 8 indexed citations
6.
Ridnik, Tal, et al.. (2014). Analytic Model for Dead Time Effect in Neutron Multiplicity Counting. Nuclear Science and Engineering. 176(3). 350–359. 2 indexed citations
7.
Ridnik, Tal, et al.. (2013). LIST-mode applications for neutron multiplicity counting. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 735. 53–59. 6 indexed citations
8.
Ridnik, Tal, et al.. (2013). A novel method for active fissile mass estimation with a pulsed neutron source. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 715. 62–69. 4 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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