Moti Freiman

1.4k citations
69 papers · 874 indexed · h-index 18

Impact in

Papers in

Moti Freiman

64 papers receiving 850 citations

Peers

Moti Freiman
Comparison fields: 5 of 99
  • Radiology, Nuclear Medicine and Imaging 443
  • Computer Vision and Pattern Recognition 222
  • Health Informatics 7
  • Cardiology and Cardiovascular Medicine 85
  • Biomedical Engineering 163
Replace Chenbin Liu with:
Chenbin Liu China
Xiangfei Chai China
Vincent Agnus France
Fajin Dong China
Hanns‐Christian Breit Switzerland
Ingmar Wegner Germany
Denis P. Shamonin Netherlands
Mark Hastenteufel Germany
Neil T. Clancy United Kingdom
Moti Freiman relative to Chenbin Liu China Chenbin Liu's profile →
Citations per field
00.5×4.2×
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 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202167
2 200964
3 201357
4 200654
5 200643
6 201239
7 201235
8 201031
9 201031
10 201828
11 200825
12 201124
13 201522
14 201022
15 202221
16 200819
17 201018
18 201218
19 201717
20
Vitamin A deficiency and surgical stress.
197017

About Moti Freiman

Moti Freiman is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Surgery, Artificial Intelligence and Biomedical Engineering, having authored 69 papers that have together received 874 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (18 papers), MRI in cancer diagnosis (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced MRI Techniques and Applications (13 papers), Advanced Neuroimaging Techniques and Applications (12 papers), Medical Imaging Techniques and Applications (10 papers), AI in cancer detection (8 papers) and Cardiac Imaging and Diagnostics (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (443 citations), Computer Vision and Pattern Recognition (222 citations), Health Informatics (7 citations), Cardiology and Cardiovascular Medicine (85 citations) and Biomedical Engineering (163 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, Robert V. Mulkern, Jacob Sosna, Reuben R. Shamir, Yigal Shoshan, Stephan D. Voss and David M. Broday. Their work appears in journals such as Medical Image Analysis, Medical Physics, International Journal of Computer Assisted Radiology and Surgery, Computer Methods and Programs in Biomedicine and Journal of Magnetic Resonance Imaging.

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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