Praneeth Vepakomma

13 papers and 166 indexed citations i.

About

Praneeth Vepakomma is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Praneeth Vepakomma has authored 13 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Praneeth Vepakomma’s work include Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (3 papers). Praneeth Vepakomma is often cited by papers focused on Privacy-Preserving Technologies in Data (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Cryptography and Data Security (3 papers). Praneeth Vepakomma collaborates with scholars based in United States, Finland and Australia. Praneeth Vepakomma's co-authors include Ramesh Raskar, Prashant Shrivastava, Anupam Shukla, Ahmed Elgammal, Abhishek Singh, Otkrist Gupta, Jihong Park, Mehdi Bennis, Ranjan Ramachandra and Seong‐Lyun Kim and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, Discrete Applied Mathematics and Applied and Computational Harmonic Analysis.

In The Last Decade

Co-authorship network of co-authors of Praneeth Vepakomma i

Fields of papers citing papers by Praneeth Vepakomma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Praneeth Vepakomma

Since Specialization
Citations

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