Pradeep Buddharaju
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Ioannis PavlidisPanagiotis TsiamyrtzisKonstantinos KazakosColin PuriJames A. LevineIoannis A. KakadiarisDvijesh ShastriMichael Manser
- Topics
- Face and Expression Recognition (6 papers)Infrared Thermography in Medicine (5 papers)Face recognition and analysis (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsScientific Data
- Partner nations
- United StatesGreeceColombia
In The Last Decade
Pradeep Buddharaju
20 papers receiving 644 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 285
- Radiology, Nuclear Medicine and Imaging 121
- Experimental and Cognitive Psychology 115
- Signal Processing 113
- Human-Computer Interaction 100
Countries citing papers authored by Pradeep Buddharaju
This map shows the geographic impact of Pradeep Buddharaju'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 Pradeep Buddharaju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Buddharaju more than expected).
Fields of papers citing papers by Pradeep Buddharaju
This network shows the impact of papers produced by Pradeep Buddharaju. 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 Pradeep Buddharaju. The network helps show where Pradeep Buddharaju may publish in the future.
Co-authorship network of co-authors of Pradeep Buddharaju
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Buddharaju. A scholar is included among the top collaborators of Pradeep Buddharaju based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pradeep Buddharaju. Pradeep Buddharaju is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 23 | |
| 3 | 7 | |
| 4 | 87 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 88 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 16 | |
| 12 | 2 | |
| 13 | 106 | |
| 14 | 160 | |
| 15 | 43 | |
| 16 | 29 | |
| 17 | 6 | |
| 18 | Biometrics: Face Recognition in Thermal Infrared | 18 |
| 19 | 44 | |
| 20 | 13 |
About Pradeep Buddharaju
Pradeep Buddharaju is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Social Psychology, having authored 20 papers that have together received 681 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Infrared Thermography in Medicine (5 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Human-Computer Interaction (100 citations), Computer Vision and Pattern Recognition (285 citations) and Signal Processing (113 citations). Pradeep Buddharaju has collaborated with scholars based in United States, Greece and Colombia. Frequent co-authors include Ioannis Pavlidis, Panagiotis Tsiamyrtzis, Konstantinos Kazakos, Colin Puri, James A. Levine, Ioannis A. Kakadiaris, Dvijesh Shastri, Michael Manser, Robert Wunderlich and Salah Taamneh. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Scientific Data.
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.