Shai Berman

407 total citations
10 papers, 257 citations indexed

About

Shai Berman is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, Shai Berman has authored 10 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Cognitive Neuroscience and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Shai Berman's work include Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (3 papers). Shai Berman is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (5 papers) and Functional Brain Connectivity Studies (3 papers). Shai Berman collaborates with scholars based in Israel, United States and Germany. Shai Berman's co-authors include Aviv Mezer, Mark D. Does, Kathryn L. West, Jason D. Yeatman, Trevor Hastie, Ariel Rokem, Brian A. Wandell, Mona Rosenke, Hua Wu and Kalanit Grill‐Spector and has published in prestigious journals such as NeuroImage, Science Advances and Human Brain Mapping.

In The Last Decade

Shai Berman

10 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shai Berman Israel	8	163	78	49	31	27	10	257
Hikaru Fukutomi Japan	6	240 1.5×	103 1.3×	38 0.8×	45 1.5×	23 0.9×	9	299
Anwar S. Shatil Canada	7	174 1.1×	64 0.8×	42 0.9×	15 0.5×	24 0.9×	9	246
Maarten Naeyaert Belgium	6	153 0.9×	78 1.0×	31 0.6×	22 0.7×	30 1.1×	13	237
Indika S. Walimuni United States	9	253 1.6×	93 1.2×	43 0.9×	33 1.1×	89 3.3×	11	374
Agâh Karakuzu Canada	10	212 1.3×	59 0.8×	14 0.3×	32 1.0×	18 0.7×	22	375
Rafael Neto Henriques Portugal	14	418 2.6×	70 0.9×	74 1.5×	25 0.8×	12 0.4×	27	490
Remika Mito Australia	7	218 1.3×	92 1.2×	52 1.1×	81 2.6×	9 0.3×	21	345
Muzamil Arshad United States	8	193 1.2×	108 1.4×	34 0.7×	24 0.8×	43 1.6×	12	308
Matthias Guenther Germany	9	356 2.2×	116 1.5×	27 0.6×	38 1.2×	14 0.5×	12	456
Einar August Høgestøl Norway	9	84 0.5×	111 1.4×	29 0.6×	61 2.0×	56 2.1×	21	327

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-authorship network of co-authors of Shai Berman

This figure shows the co-authorship network connecting the top 25 collaborators of Shai Berman. A scholar is included among the top collaborators of Shai Berman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shai Berman. Shai Berman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Brignoni‐Pérez, Edith, Sarah E. Dubner, Michal Ben‐Shachar, et al.. (2022). White matter properties underlying reading abilities differ in 8-year-old children born full term and preterm: A multi-modal approach. NeuroImage. 256. 119240–119240. 4 indexed citations

Berman, Shai, et al.. (2022). Spatial profiles provide sensitive MRI measures of the midbrain micro- and macrostructure. NeuroImage. 264. 119660–119660. 3 indexed citations

Berman, Shai, et al.. (2022). Mapping microstructural gradients of the human striatum in normal aging and Parkinson’s disease. Science Advances. 8(28). eabm1971–eabm1971. 29 indexed citations

Natu, Vaidehi, Mona Rosenke, Hua Wu, et al.. (2021). Infants’ cortex undergoes microstructural growth coupled with myelination during development. Communications Biology. 4(1). 1191–1191. 31 indexed citations

Berman, Shai, Yael Backner, Friedemann Paul, et al.. (2020). Conduction delays in the visual pathways of progressive multiple sclerosis patients covary with brain structure. NeuroImage. 221. 117204–117204. 16 indexed citations

Berman, Shai, et al.. (2020). Automatic Segmentation of the Dorsal Claustrum in Humans Using in vivo High-Resolution MRI. Cerebral Cortex Communications. 1(1). tgaa062–tgaa062. 10 indexed citations

Travis, Katherine E., et al.. (2019). More than myelin: Probing white matter differences in prematurity with quantitative T1 and diffusion MRI. NeuroImage Clinical. 22. 101756–101756. 13 indexed citations

Berman, Shai, et al.. (2019). Modeling conduction delays in the corpus callosum using MRI-measured g-ratio. NeuroImage. 195. 128–139. 22 indexed citations

Berman, Shai, Kathryn L. West, Mark D. Does, Jason D. Yeatman, & Aviv Mezer. (2017). Evaluating g-ratio weighted changes in the corpus callosum as a function of age and sex. NeuroImage. 182. 304–313. 67 indexed citations

10.

Mezer, Aviv, Ariel Rokem, Shai Berman, Trevor Hastie, & Brian A. Wandell. (2016). Evaluating quantitative proton‐density‐mapping methods. Human Brain Mapping. 37(10). 3623–3635. 62 indexed citations

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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