Daniel Barazany

967 citations
18 papers · 692 · h-index 11

Impact in

Papers in

Daniel Barazany

15 papers receiving 688 citations

Peers

Daniel Barazany
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 548
  • Orthopedics and Sports Medicine 103
  • Cognitive Neuroscience 224
  • Computational Mathematics 5
  • Nuclear and High Energy Physics 50
Replace Greg D. Parker with:
Greg D. Parker United Kingdom
Simona Schiavi Italy
Bibek Dhital Germany
Ilana R. Leppert Canada
Rafael Neto Henriques Portugal
Nicolas Kunz Switzerland
Jeroen Mollink United Kingdom
Lindsey A. Leigland United States
Markus Streicher Germany
Alberto De Luca Netherlands
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Citations per field
00.5×10×20×31.5×
Greg D. Parker · 1×
Citations per year

Countries citing papers authored by Daniel Barazany

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barazany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009314
2 2014116
3 201551
4 201148
5 201135
6 202133
7 201925
8 201717
9 201415
10 202114
11 201910
12 20226
13 20234
14
A comparative study of axon diameter imaging techniques using diffusion MRI
20112
15 20122
16 20240
17 20230
18 20240

About Daniel Barazany

Daniel Barazany is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Neurology, Pathology and Forensic Medicine and Biophysics, having authored 18 papers that have together received 692 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (11 papers), Functional Brain Connectivity Studies (9 papers), Electron Spin Resonance Studies (2 papers), Spine and Intervertebral Disc Pathology (1 paper), COVID-19 and Mental Health (1 paper), Long-Term Effects of COVID-19 (1 paper) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (548 citations), Orthopedics and Sports Medicine (103 citations), Cognitive Neuroscience (224 citations), Computational Mathematics (5 citations) and Nuclear and High Energy Physics (50 citations). Daniel Barazany has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yaniv Assaf, Peter J. Basser, Ido Tavor, Galit Yovel, Derek K. Jones, Silvia De Santis, Galia Tsarfaty, Yuval Zur, Assaf Tal and Noam Ben‐Eliezer. Their work appears in journals such as Magnetic Resonance in Medicine, Scientific Reports, NeuroImage, Experimental Neurology and Neuroinformatics.

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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