Umesh Rudrapatna

1.0k citations
24 papers · 588 indexed · h-index 13

Umesh Rudrapatna

24 papers receiving 586 citations

Peers

Umesh Rudrapatna
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 464
  • Computational Mathematics 5
  • Orthopedics and Sports Medicine 73
  • Cognitive Neuroscience 91
  • Neurology 70
Replace Qiuyun Fan with:
Qiuyun Fan United States
Lise Vejby Søgaard Denmark
Tarunya Arun United Kingdom
David Li Canada
Tanguy Duval Canada
Martin D. King United Kingdom
Arnaud Guidon United States
Julian Adler Australia
Alexandru Avram United States
Russell Dibb United States
Umesh Rudrapatna relative to Qiuyun Fan United States Qiuyun Fan's profile →
Citations per field
00.5×1.5×2.2×
Qiuyun Fan · 1×
Citations per year

Countries citing papers authored by Umesh Rudrapatna

Since Specialization
Citations

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

Fields of papers citing papers by Umesh Rudrapatna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 202133
3 20217
4 202019
5 202018
6 202027
7 2020107
8 202028
9 20205
10 201965
11
A joint recommendation for optimized preprocessing of connectom diffusion MRI data
20191
12 20187
13 20168
14 201624
15 201616
16 20157
17 20155
18 201490
19 201459
20 201210

About Umesh Rudrapatna

Umesh Rudrapatna is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Neurology, having authored 24 papers that have together received 588 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (17 papers), Advanced MRI Techniques and Applications (17 papers), MRI in cancer diagnosis (7 papers), Bone and Joint Diseases (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), NMR spectroscopy and applications (3 papers), Atomic and Subatomic Physics Research (2 papers) and Advanced NMR Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (464 citations), Computational Mathematics (5 citations) and Orthopedics and Sports Medicine (73 citations). Umesh Rudrapatna has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Derek K. Jones, Rick M. Dijkhuizen, Annette van der Toorn, Jelle Veraart, Robin A. de Graaf, Terence W. Nixon, Christoph Juchem, Chantal M. W. Tax, Dmitry S. Novikov and Noam Shemesh. Their work appears in journals such as NeuroImage, Stroke and Magnetic Resonance in Medicine.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026