Shai Berman

407 citations
10 papers · 257 · h-index 8

Impact in

Papers in

Shai Berman

10 papers receiving 256 citations

Peers

Shai Berman
Comparison fields: 5 of 52
  • Radiology, Nuclear Medicine and Imaging 163
  • Cognitive Neuroscience 78
  • Pediatrics, Perinatology and Child Health 49
  • Neurology 31
  • Computational Mathematics 1
Replace Anwar S. Shatil with:
Anwar S. Shatil Canada
Maarten Naeyaert Belgium
Muzamil Arshad United States
Agâh Karakuzu Canada
Henning M. Reimann Germany
Hikaru Fukutomi Japan
Luis E. Cortina United States
Enedino Hernández‐Torres Canada
Anna Combes United States
Indika S. Walimuni United States
Shai Berman relative to Anwar S. Shatil Canada Anwar S. Shatil's profile →
Citations per field
00.5×
Anwar S. Shatil · 1×
Citations per year

Countries citing papers authored by Shai Berman

Since Specialization
Citations

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

Fields of papers citing papers by Shai Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Shai Berman, 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 Shai Berman Line = papers co-authored together Shai Berman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201767
2 201662
3 202131
4 202229
5 201922
6 202016
7 201913
8 202010
9 20224
10 20223

About Shai Berman

Shai Berman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 257 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers), Multiple Sclerosis Research Studies (3 papers), Functional Brain Connectivity Studies (3 papers), Neonatal and fetal brain pathology (2 papers), Infant Development and Preterm Care (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (163 citations), Cognitive Neuroscience (78 citations), Pediatrics, Perinatology and Child Health (49 citations), Neurology (31 citations) and Computational Mathematics (1 citation). Shai Berman has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Aviv Mezer, Kathryn L. West, Mark D. Does, Jason D. Yeatman, Ariel Rokem, Trevor Hastie, Brian A. Wandell, Kalanit Grill‐Spector, Mona Rosenke and Mareike Grotheer. Their work appears in journals such as NeuroImage, Science Advances, NeuroImage Clinical, Human Brain Mapping and Communications Biology.

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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