Padmapriya Praveenkumar

99 total papers · 1.2k total citations
55 papers, 798 citations indexed

About

Padmapriya Praveenkumar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Padmapriya Praveenkumar has authored 55 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 13 papers in Electrical and Electronic Engineering. Recurrent topics in Padmapriya Praveenkumar's work include Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Quantum Computing Algorithms and Architecture (9 papers). Padmapriya Praveenkumar is often cited by papers focused on Chaos-based Image/Signal Encryption (30 papers), Advanced Steganography and Watermarking Techniques (20 papers) and Quantum Computing Algorithms and Architecture (9 papers). Padmapriya Praveenkumar collaborates with scholars based in India and Egypt. Padmapriya Praveenkumar's co-authors include Rengarajan Amirtharajan, John Bosco Balaguru Rayappan, Dhivya Ravichandran, K. Thenmozhi, Sundararaman Rajagopalan, Ahmed A. Abd El‐Latif, K. Revathy, S. Praveen and Sridha Sridharan and has published in prestigious journals such as Scientific Reports, Computers in Biology and Medicine and Multimedia Tools and Applications.

In The Last Decade

Padmapriya Praveenkumar

53 papers receiving 707 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Padmapriya Praveenkumar 599 167 158 86 82 55 798
Xiangde Zhang 517 0.9× 214 1.3× 117 0.7× 57 0.7× 121 1.5× 60 818
Daojun Han 779 1.3× 194 1.2× 170 1.1× 108 1.3× 74 0.9× 27 964
Arslan Shafique 555 0.9× 329 2.0× 89 0.6× 128 1.5× 49 0.6× 36 806
Amir Masoud Eftekhari Moghadam 622 1.0× 329 2.0× 91 0.6× 37 0.4× 47 0.6× 59 1.0k
Safwan El Assad 616 1.0× 247 1.5× 149 0.9× 63 0.7× 73 0.9× 74 758
Ying Niu 532 0.9× 241 1.4× 157 1.0× 86 1.0× 110 1.3× 42 770
Qi Li 697 1.2× 165 1.0× 87 0.6× 45 0.5× 28 0.3× 33 911
Jan Sher Khan 847 1.4× 306 1.8× 182 1.2× 48 0.6× 90 1.1× 35 980
Hossam E. Ahmed 438 0.7× 194 1.2× 58 0.4× 48 0.6× 33 0.4× 45 769
Ismail Fauzi Isnin 712 1.2× 258 1.5× 260 1.6× 148 1.7× 146 1.8× 37 1.0k

Countries citing papers authored by Padmapriya Praveenkumar

Since Specialization
Citations

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

Fields of papers citing papers by Padmapriya Praveenkumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmapriya Praveenkumar

This figure shows the co-authorship network connecting the top 25 collaborators of Padmapriya Praveenkumar. A scholar is included among the top collaborators of Padmapriya Praveenkumar 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 Padmapriya Praveenkumar. Padmapriya Praveenkumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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