Moti Freiman

1.4k citations
84 papers · 1.1k · h-index 20

Impact in

Papers in

Moti Freiman

79 papers receiving 1.0k citations

Peers

Moti Freiman
Comparison fields: 5 of 97
  • Radiology, Nuclear Medicine and Imaging 439
  • Computer Vision and Pattern Recognition 249
  • Cardiology and Cardiovascular Medicine 91
  • Health Informatics 6
  • Neurology 31
Replace Chenbin Liu with:
Chenbin Liu China
Hans Lamecker Germany
Mark Hastenteufel Germany
Fajin Dong China
Ingmar Wegner Germany
Y. Tamaki Japan
Xiangfei Chai China
Stefan Wesarg Germany
Tzung-Chi Huang Taiwan
Moti Freiman relative to Chenbin Liu China Chenbin Liu's profile →
Citations per field
00.5×2×3×4×4.5×
Chenbin Liu · 1×
Citations per year

Countries citing papers authored by Moti Freiman

Since Specialization
Citations

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

Fields of papers citing papers by Moti Freiman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moti Freiman, 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 Moti Freiman Line = papers co-authored together Moti Freiman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 200966
3 201363
4 200656
5 200647
6 201243
7 201238
8 201037
9 201035
10 200833
11 201829
12 201027
13 201524
14 201124
15 202223
16 200821
17 201721
18 201020
19 201219
20 200919

About Moti Freiman

Moti Freiman is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Surgery and Biomedical Engineering, having authored 84 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (19 papers), MRI in cancer diagnosis (18 papers), Advanced MRI Techniques and Applications (16 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced Neuroimaging Techniques and Applications (11 papers), Medical Imaging Techniques and Applications (11 papers), AI in cancer detection (8 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (439 citations), Computer Vision and Pattern Recognition (249 citations), Cardiology and Cardiovascular Medicine (91 citations), Health Informatics (6 citations) and Neurology (31 citations). Moti Freiman has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Leo Joskowicz, Simon K. Warfield, Jeannette M. Pérez-Rosselló, Michael J. Callahan, Jacob Sosna, Stephan D. Voss, Robert V. Mulkern, Yigal Shoshan, Reuben R. Shamir and David M. Broday. Their work appears in journals such as Medical Image Analysis, Medical Physics, Journal of Magnetic Resonance Imaging, Computer Methods and Programs in Biomedicine and International Journal of Computer Assisted Radiology and Surgery.

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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