Avi Ben-Cohen

1.4k total citations · 1 hit paper
10 papers, 594 citations indexed

About

Avi Ben-Cohen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Avi Ben-Cohen has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Avi Ben-Cohen's work include Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (3 papers). Avi Ben-Cohen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), AI in cancer detection (3 papers) and COVID-19 diagnosis using AI (3 papers). Avi Ben-Cohen collaborates with scholars based in Israel and Cayman Islands. Avi Ben-Cohen's co-authors include Hayit Greenspan, Eyal Klang, Michal Marianne Amitai, Orit Shimon, Shelly Soffer, Emanuel Ben-Baruch, Asaf Noy, Tal Ridnik, Eli Konen and Itamar Friedman and has published in prestigious journals such as Radiology, Neurocomputing and ACS Sensors.

In The Last Decade

Avi Ben-Cohen

10 papers receiving 578 citations

Hit Papers

Convolutional Neural Networks for Radiologic Images: A Ra... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide
    2019 372 citations Shelly Soffer, Avi Ben-Cohen et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Avi Ben-Cohen Israel 8 262 209 118 100 79 10 594
Jiwoong Jeong United States 12 244 0.9× 168 0.8× 127 1.1× 95 0.9× 32 0.4× 34 609
Mohamed Shehata Egypt 14 377 1.4× 152 0.7× 107 0.9× 122 1.2× 61 0.8× 55 648
Dexing Kong China 14 381 1.5× 211 1.0× 82 0.7× 133 1.3× 62 0.8× 54 664
Natascha Claudia D’Amico Italy 7 305 1.2× 198 0.9× 99 0.8× 53 0.5× 80 1.0× 10 538
Mahboubeh Jannesari Germany 3 245 0.9× 234 1.1× 79 0.7× 108 1.1× 45 0.6× 7 510
Kim Eun Hee Germany 5 201 0.8× 180 0.9× 77 0.7× 82 0.8× 44 0.6× 25 496
Tahir Mahmood South Korea 13 342 1.3× 232 1.1× 77 0.7× 192 1.9× 35 0.4× 30 620
Saeed Seyyedi Germany 5 226 0.9× 205 1.0× 73 0.6× 45 0.5× 76 1.0× 12 503
Kunal Nagpal United States 5 258 1.0× 345 1.7× 62 0.5× 109 1.1× 113 1.4× 10 592
Gustav Müller‐Franzes Germany 11 316 1.2× 239 1.1× 73 0.6× 89 0.9× 99 1.3× 22 567

Countries citing papers authored by Avi Ben-Cohen

Since Specialization
Citations

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

Fields of papers citing papers by Avi Ben-Cohen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avi Ben-Cohen. 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 Avi Ben-Cohen. The network helps show where Avi Ben-Cohen may publish in the future.

Co-authorship network of co-authors of Avi Ben-Cohen

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

All Works

10 of 10 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.
Ben-Cohen, Avi, et al.. (2021). Semantic Diversity Learning for Zero-Shot Multi-label Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 620–630. 26 indexed citations
4.
Ben-Cohen, Avi, et al.. (2019). Attention Network Robustification for Person ReID. 4 indexed citations
5.
Soffer, Shelly, Avi Ben-Cohen, Orit Shimon, et al.. (2019). Convolutional Neural Networks for Radiologic Images: A Radiologist’s Guide. Radiology. 290(3). 590–606. 372 indexed citations breakdown →
6.
Mahapatra, Niharendu, et al.. (2018). Electrostatic Selectivity of Volatile Organic Compounds Using Electrostatically Formed Nanowire Sensor. ACS Sensors. 3(3). 709–715. 26 indexed citations
7.
Ben-Cohen, Avi, Eyal Klang, Idit Diamant, et al.. (2017). CT Image-based Decision Support System for Categorization of Liver Metastases Into Primary Cancer Sites. Academic Radiology. 24(12). 1501–1509. 29 indexed citations
8.
Ben-Cohen, Avi, et al.. (2017). Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations. Neurocomputing. 275. 1585–1594. 50 indexed citations
9.
Ben-Cohen, Avi, Eyal Klang, Michal Amitai, & Hayit Greenspan. (2016). Sparsity-based liver metastases detection using learned dictionaries. 1195–1198. 2 indexed citations
10.
Ben-Cohen, Avi, Eyal Klang, Idit Diamant, et al.. (2015). Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations. Journal of Medical Imaging. 2(3). 34502–34502. 8 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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