A. Tabesh

690 citations
12 papers · 572 · h-index 9

Impact in

Papers in

A. Tabesh

12 papers receiving 561 citations

Peers

A. Tabesh
Comparison fields: 5 of 55
  • Radiology, Nuclear Medicine and Imaging 333
  • Computational Mathematics 7
  • Orthopedics and Sports Medicine 61
  • Neurology 85
  • Developmental Neuroscience 14
Replace A. Pasha Hosseinbor with:
A. Pasha Hosseinbor United States
Peter Neher Germany
Koushi Harada Japan
Sudipto Dolui United States
Thomas Döring Brazil
Matthew G. Liptrot Denmark
Zhexing Liu China
Christopher I. Zoumalan United States
Sara M. Dupont United States
Inge W.M. van Uden Netherlands
A. Tabesh relative to A. Pasha Hosseinbor United States A. Pasha Hosseinbor's profile →
Citations per field
00.5×2.8×
A. Pasha Hosseinbor · 1×
Citations per year

Countries citing papers authored by A. Tabesh

Since Specialization
Citations

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

Fields of papers citing papers by A. Tabesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012150
2 2013119
3 201565
4 201364
5 201462
6 201444
7 201427
8 200520
9 200512
10 20024
11
Diffusional kurtosis imaging detects age-related grey matter changes in the normal mouse brain
20123
12
Direct evidence for decreased intra-axonal diffusivity in ischemic human stroke
20122

About A. Tabesh

A. Tabesh is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 12 papers that have together received 572 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (5 papers), Image Retrieval and Classification Techniques (2 papers), Image and Signal Denoising Methods (2 papers), Cerebrovascular and Carotid Artery Diseases (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Epilepsy research and treatment (1 paper), Medical Image Segmentation Techniques (1 paper) and Traumatic Brain Injury Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (333 citations), Computational Mathematics (7 citations), Orthopedics and Sports Medicine (61 citations), Neurology (85 citations) and Developmental Neuroscience (14 citations). A. Tabesh has collaborated with scholars based in United States, Germany and Belarus. Frequent co-authors include Jens H. Jensen, James S. Babb, Matilde Inglese, Joseph A. Helpern, Els Fieremans, R I Grossman, Maria Vittoria Spampinato, Elan J. Grossman, Maxim Bester and Dmitry S. Novikov. Their work appears in journals such as American Journal of Neuroradiology, Acta Neurologica Scandinavica, Multiple Sclerosis Journal, Electronics Letters and The HKU Scholars Hub (University of Hong Kong).

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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