Rami Ben‐Ari

1.3k citations
29 papers · 417 · h-index 12

Impact in

Papers in

Rami Ben‐Ari

27 papers receiving 401 citations

Peers

Rami Ben‐Ari
Comparison fields: 5 of 62
  • Computer Vision and Pattern Recognition 247
  • Artificial Intelligence 230
  • Radiology, Nuclear Medicine and Imaging 140
  • Media Technology 51
  • Health Informatics 3
Replace Pavel Kisilev with:
Pavel Kisilev United States
Min Dong China
Alireza Norouzi Malaysia
Peilin Zhong United States
Ashkan Tashk Iran
Mahmut Yurt United States
Santanu Roy India
Mariusz Bajger Australia
Huadeng Wang China
Kamel Hamrouni Tunisia
Rami Ben‐Ari relative to Pavel Kisilev United States Pavel Kisilev's profile →
Citations per field
00.5×4.2×
Pavel Kisilev · 1×
Citations per year

Countries citing papers authored by Rami Ben‐Ari

Since Specialization
Citations

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

Fields of papers citing papers by Rami Ben‐Ari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rami Ben‐Ari. 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 Rami Ben‐Ari. The network helps show where Rami Ben‐Ari may publish in the future.

Co-authors

The 15 scholars most cited alongside Rami Ben‐Ari, 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 Rami Ben‐Ari Line = papers co-authored together Rami Ben‐Ari links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202178
2 201752
3 201737
4 201728
5 201724
6 201021
7 200718
8 201418
9 202017
10 201712
11 202411
12 201811
13 201711
14 202410
15 201910
16 20209
17 20119
18 20207
19 20166
20 20066

About Rami Ben‐Ari

Rami Ben‐Ari is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 417 indexed citations. Recurring topics across this work include AI in cancer detection (11 papers), Advanced Vision and Imaging (7 papers), Advanced Image Processing Techniques (6 papers), Image Processing Techniques and Applications (5 papers), Optical measurement and interference techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (247 citations), Artificial Intelligence (230 citations), Radiology, Nuclear Medicine and Imaging (140 citations), Media Technology (51 citations) and Health Informatics (3 citations). Rami Ben‐Ari has collaborated with scholars based in Israel. Frequent co-authors include Sharbell Hashoul, Nir Sochen, Ayelet Akselrod-Ballin, Leonid Karlinsky, Jacob Goldberger, Pavel Kisilev, Ella Barkan, Sharon Alpert, Jeremias Sulam and Matan Levy. Their work appears in journals such as Journal of Mathematical Imaging and Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization and Journal of Real-Time Image Processing.

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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