Padmapriya Praveenkum

18 papers and 86 indexed citations i.

About

Padmapriya Praveenkum is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Padmapriya Praveenkum has authored 18 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Padmapriya Praveenkum’s work include Advanced Steganography and Watermarking Techniques (14 papers), Chaos-based Image/Signal Encryption (12 papers) and Cellular Automata and Applications (9 papers). Padmapriya Praveenkum is often cited by papers focused on Advanced Steganography and Watermarking Techniques (14 papers), Chaos-based Image/Signal Encryption (12 papers) and Cellular Automata and Applications (9 papers). Padmapriya Praveenkum collaborates with scholars based in India. Padmapriya Praveenkum's co-authors include Rengarajan Amirtharaj, K. Thenmozhi and John Bosco Balaguru Rayappan and has published in prestigious journals such as Journal of Applied Sciences, Asian Journal of Scientific Research and Information Technology Journal.

In The Last Decade

Co-authorship network of co-authors of Padmapriya Praveenkum i

Fields of papers citing papers by Padmapriya Praveenkum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Padmapriya Praveenkum

Since Specialization
Citations

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

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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