Premkumar Elangovan

501 citations
39 papers · 390 · h-index 11

Impact in

Papers in

Premkumar Elangovan

37 papers receiving 384 citations

Peers

Premkumar Elangovan
Comparison fields: 5 of 47
  • Radiology, Nuclear Medicine and Imaging 210
  • Pulmonary and Respiratory Medicine 236
  • Artificial Intelligence 116
  • Radiation 26
  • Astronomy and Astrophysics 39
Replace Dong Han with:
Dong Han China
Alexander X. Stewart United States
Marco Caballo Netherlands
Donghwi Hwang South Korea
Kyle L. McMillan United States
Chao‐Jen Lai United States
Anita Nosratieh United States
Bruno Barufaldi United States
Shaoyan Pan United States
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Citations per field
00.5×2×4×6×8×9.7×
Dong Han · 1×
Citations per year

Countries citing papers authored by Premkumar Elangovan

Since Specialization
Citations

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

Fields of papers citing papers by Premkumar Elangovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201445
2 201239
3 201735
4 202034
5 201730
6 201821
7 201319
8 201214
9 201213
10 201812
11 201511
12 202110
13 201310
14 20169
15 20189
16 20199
17 20216
18 20166
19 20176
20 20125

About Premkumar Elangovan

Premkumar Elangovan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Artificial Intelligence, Radiation and Biophysics, having authored 39 papers that have together received 390 indexed citations. Recurring topics across this work include Digital Radiography and Breast Imaging (26 papers), Medical Imaging Techniques and Applications (21 papers), AI in cancer detection (17 papers), Advanced X-ray and CT Imaging (5 papers), Advanced Radiotherapy Techniques (3 papers), Video Coding and Compression Technologies (2 papers), Advanced Data Compression Techniques (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (210 citations), Pulmonary and Respiratory Medicine (236 citations), Artificial Intelligence (116 citations), Radiation (26 citations) and Astronomy and Astrophysics (39 citations). Premkumar Elangovan has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Kevin Wells, David R. Dance, Kenneth C. Young, Alistair Mackenzie, Oliver Diaz Montesdeoca, Alaleh Rashidnasab, Richard L. Abel, Robin Armstrong, Dominik C. Hezel and Lauren E. Howard. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, Breast Cancer Research, European Radiology and Meteoritics and Planetary Science.

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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