Emanuel Ben-Baruch

777 total citations · 1 hit paper
3 papers, 400 citations indexed

About

Emanuel Ben-Baruch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Emanuel Ben-Baruch has authored 3 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Emanuel Ben-Baruch's work include Text and Document Classification Technologies (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Machine Learning and Data Classification (2 papers). Emanuel Ben-Baruch is often cited by papers focused on Text and Document Classification Technologies (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Machine Learning and Data Classification (2 papers). Emanuel Ben-Baruch collaborates with scholars based in Cayman Islands. Emanuel Ben-Baruch's co-authors include Tal Ridnik, Asaf Noy, Lihi Zelnik‐Manor, Itamar Friedman, Matan Protter and Avi Ben-Cohen and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

In The Last Decade

Emanuel Ben-Baruch

3 papers receiving 388 citations

Hit Papers

align trajectories

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.

Asymmetric Loss For Multi-Label Classification

2021 323 citations Tal Ridnik, Emanuel Ben-Baruch et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emanuel Ben-Baruch Cayman Islands	3	249	199	41	23	21	3	400
Asaf Noy Cayman Islands	4	256 1.0×	205 1.0×	42 1.0×	23 1.0×	21 1.0×	6	409
Tal Ridnik Israel	6	255 1.0×	204 1.0×	41 1.0×	23 1.0×	21 1.0×	8	427
Itamar Friedman Cayman Islands	5	251 1.0×	195 1.0×	41 1.0×	21 0.9×	21 1.0×	6	391
Asim Munir Pakistan	10	186 0.7×	245 1.2×	134 3.3×	10 0.4×	34 1.6×	21	486
Waldir R. De Almeida Brazil	5	140 0.6×	110 0.6×	34 0.8×	44 1.9×	17 0.8×	7	283
Henry Gouk United Kingdom	6	163 0.7×	92 0.5×	31 0.8×	28 1.2×	12 0.6×	14	300
Patrick Kwabena Mensah Ghana	7	119 0.5×	117 0.6×	64 1.6×	21 0.9×	4 0.2×	27	371
Yu Deng China	10	134 0.5×	72 0.4×	76 1.9×	12 0.5×	12 0.6×	35	266
Suranjana Samanta India	6	93 0.4×	117 0.6×	34 0.8×	35 1.5×	4 0.2×	22	284

Countries citing papers authored by Emanuel Ben-Baruch

Since Specialization

Citations

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

Fields of papers citing papers by Emanuel Ben-Baruch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuel Ben-Baruch

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

All Works

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3 of 3 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 →

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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