Yaniv Gal

665 citations
46 papers · 494 · h-index 11

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Medical Imaging Techniques and Applications
    • Radiomics and Machine Learning in Medical Imaging
    • MRI in cancer diagnosis
    • Advanced MRI Techniques and Applications
    • Advanced Neuroimaging Techniques and Applications

Papers in

Yaniv Gal

43 papers receiving 472 citations

Peers

Yaniv Gal
Comparison fields: 5 of 70
  • Genetics 140
  • Radiology, Nuclear Medicine and Imaging 240
  • Cancer Research 83
  • Computer Vision and Pattern Recognition 73
  • Computational Mathematics 2
Replace Turid Torheim with:
Turid Torheim United Kingdom
Hartmut Gumprecht Germany
Zhongping Chen China
M. Satter United States
Qing Ji United States
Garth M. Beache United States
Carlos A. Castro United States
J. Pearlman United States
Niall Moore United Kingdom
Mehrdad Oveisi Iran
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Citations per field
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Citations per year

Countries citing papers authored by Yaniv Gal

Since Specialization
Citations

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

Fields of papers citing papers by Yaniv Gal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200956
2 201554
3 196853
4 201249
5 201540
6 201534
7 196724
8 201415
9 201514
10
Central nervous system involvement in systemic lupus erythematosus: an imaging challenge.
201314
11 200712
12 201110
13 201310
14 20099
15 20118
16 20147
17 20157
18 20147
19 20137
20 20137

About Yaniv Gal

Yaniv Gal is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Genetics, Artificial Intelligence and Media Technology, having authored 46 papers that have together received 494 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (8 papers), Advanced MRI Techniques and Applications (7 papers), Glioma Diagnosis and Treatment (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), AI in cancer detection (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Genetics (140 citations), Radiology, Nuclear Medicine and Imaging (240 citations), Cancer Research (83 citations), Computer Vision and Pattern Recognition (73 citations) and Computational Mathematics (2 citations). Yaniv Gal has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include ‪Stuart Crozier‬, E Philippe, Stephen Rose, Paul Thomas, Nicholas Dowson, Andrew P. Bradley, Andrew Mehnert, Christopher J. Bell, Mike Fay and Dominic Kennedy. Their work appears in journals such as Cancer, NeuroImage, International Journal of Developmental Neuroscience, Journal of the European Academy of Dermatology and Venereology and American Journal of Neuroradiology.

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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