Prashanth Dumpuri

607 citations
25 papers · 507 · h-index 11

Impact in

Papers in

Prashanth Dumpuri

25 papers receiving 486 citations

Peers

Prashanth Dumpuri
Comparison fields: 5 of 37
  • Computer Vision and Pattern Recognition 373
  • Hepatology 39
  • Biomedical Engineering 167
  • Genetics 23
  • Instrumentation 5
Replace Daniel Maleike with:
Daniel Maleike Germany
Logan W. Clements United States
Sascha Zelzer Germany
Thomas S. Pheiffer United States
Tobias Kunert Germany
Kurt R. Smith United States
Jason W. Trobaugh United States
Bizhan Dorri
Karen E. Lunn United States
David N. Levin United States
Prashanth Dumpuri relative to Daniel Maleike Germany Daniel Maleike's profile →
Citations per field
00.5×2×3×4×4.9×
Daniel Maleike · 1×
Citations per year

Countries citing papers authored by Prashanth Dumpuri

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Dumpuri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200793
2 201464
3 200853
4 201049
5 201040
6 201037
7 200829
8 200725
9 201125
10 200717
11 201213
12 20039
13 20119
14 20068
15 20068
16 20225
17 20245
18 20104
19 20103
20 20123

About Prashanth Dumpuri

Prashanth Dumpuri is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Biotechnology and Radiation, having authored 25 papers that have together received 507 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Anatomy and Medical Technology (5 papers), Optical Imaging and Spectroscopy Techniques (2 papers), Elasticity and Material Modeling (1 paper), Ultrasound and Hyperthermia Applications (1 paper), Liver physiology and pathology (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (373 citations), Hepatology (39 citations), Biomedical Engineering (167 citations), Genetics (23 citations) and Instrumentation (5 citations). Prashanth Dumpuri has collaborated with scholars based in United States and India. Frequent co-authors include Michael I. Miga, Benoît M. Dawant, Reid C. Thompson, Siyi Ding, Logan W. Clements, Aize Cao, Robert L. Galloway, William R. Jarnagin, Amber L. Simpson and William C. Chapman. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of the American College of Surgeons, Medical Physics, Medical Image Analysis and Intelligence-Based 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.

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