Kumaradevan Punithakumar

140 papers receiving 2k citations

Peers

Kumaradevan Punithakumar
Comparison fields: 5 of 77
  • Health Informatics 135
  • Computer Vision and Pattern Recognition 1k
  • Oral Surgery 157
  • Complementary and Manual Therapy 36
  • Artificial Intelligence 492
Replace Saša Grbić with:
Saša Grbić United States
Michał Strzelecki Poland
Bob D. de Vos Netherlands
Florin‐Cristian Ghesu Germany
Christian Payer Austria
Yipeng Hu United Kingdom
Benjamin Hou United Kingdom
Shun Miao United States
Tao Tan Netherlands
Matthew Sinclair United Kingdom
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Citations per field
00.5×2×4×6.8×
Saša Grbić · 1×
Citations per year

Countries citing papers authored by Kumaradevan Punithakumar

Since Specialization
Citations

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

Fields of papers citing papers by Kumaradevan Punithakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008133
2 2020106
3 202090
4 202173
5 201372
6 201166
7 200865
8 201163
9 202054
10 202354
11 201352
12 200946
13 202342
14 201739
15 200637
16 202237
17 201536
18 201035
19 200533
20 202132

About Kumaradevan Punithakumar

Kumaradevan Punithakumar is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery, Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 150 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (90 papers), Cardiac Imaging and Diagnostics (18 papers), Dental Radiography and Imaging (17 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers), Ultrasound in Clinical Applications (13 papers), Cardiovascular Function and Risk Factors (9 papers), Medical Imaging and Analysis (6 papers) and Congenital Heart Disease Studies (5 papers). The work is most often cited by research in Health Informatics (135 citations), Computer Vision and Pattern Recognition (1k citations), Oral Surgery (157 citations), Complementary and Manual Therapy (36 citations) and Artificial Intelligence (492 citations). Kumaradevan Punithakumar has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Michelle Noga, Ismail Ben Ayed, Thia Kirubarajan, Shuo Li, Abhijit Sinha, Jacob Lester Jaremko, Pierre Boulanger, Abhilash Rakkunedeth Hareendranathan, Ali Islam and Paul W. Major. Their work appears in journals such as IEEE Access, Medical Image Analysis, Computers in Biology and Medicine, Journal of Dentistry and Computer Methods and Programs in Biomedicine.

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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