P. Devaraj

433 citations
31 papers · 330 · h-index 9

Impact in

Papers in

P. Devaraj

28 papers receiving 316 citations

Peers

P. Devaraj
Comparison fields: 5 of 32
  • Computer Vision and Pattern Recognition 223
  • Mathematical Physics 55
  • Applied Mathematics 40
  • Computational Theory and Mathematics 53
  • Artificial Intelligence 94
Replace Alessandro Rudi with:
Alessandro Rudi Italy
Vitaly Maiorov Israel
Dennis Amelunxen Germany
Shouzhi Yang China
Alex Zhai United States
Zhengxing Cheng China
Boris Hanin United States
Elena Alshina Germany
J.-C. Pesquet France
Heiko Harborth Germany
P. Devaraj relative to Alessandro Rudi Italy Alessandro Rudi's profile →
Citations per field
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Citations per year

Countries citing papers authored by P. Devaraj

Since Specialization
Citations

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

Fields of papers citing papers by P. Devaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside P. Devaraj, 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 P. Devaraj Line = papers co-authored together P. Devaraj links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 201069
3 201624
4 201618
5 201715
6 201415
7 201614
8 202212
9 20188
10 20147
11 20147
12 20166
13 20216
14 20175
15 20104
16 20024
17 20103
18 20133
19 20152
20 20232

About P. Devaraj

P. Devaraj is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Mathematical Physics, Computational Mechanics and Computational Theory and Mathematics, having authored 31 papers that have together received 330 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (14 papers), Image and Signal Denoising Methods (9 papers), Chaos-based Image/Signal Encryption (5 papers), Nanofluid Flow and Heat Transfer (4 papers), Advanced Steganography and Watermarking Techniques (4 papers), Advanced Harmonic Analysis Research (4 papers), Heat Transfer Mechanisms (3 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Mathematical Physics (55 citations), Applied Mathematics (40 citations), Computational Theory and Mathematics (53 citations) and Artificial Intelligence (94 citations). P. Devaraj has collaborated with scholars based in India, Ethiopia and Germany. Frequent co-authors include R. S. Bhuvaneswaran, I. Shatheesh Sam, C. Kavitha, Prashant Kumar, K. Murugan and Peter Massopust. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Results in Mathematics, Nonlinear Dynamics, Multimedia Tools and Applications and Wireless Networks.

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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