Mayank Varia

12 papers and 145 indexed citations i.

About

Mayank Varia is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Mayank Varia has authored 12 papers receiving a total of 145 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Information Systems and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Mayank Varia’s work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Blockchain Technology Applications and Security (4 papers). Mayank Varia is often cited by papers focused on Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (6 papers) and Blockchain Technology Applications and Security (4 papers). Mayank Varia collaborates with scholars based in United States and Ireland. Mayank Varia's co-authors include Ken R. Duffy, Muriel Médard, Flávio P. Calmon, Ali Makhdoumi, Robert K. Cunningham, Emily Shen, Benjamin Fuller, Arkady Yerukhimovich, Stefano Tessaro and Vijay Gadepally and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications of the ACM and Computer.

In The Last Decade

Co-authorship network of co-authors of Mayank Varia i

Fields of papers citing papers by Mayank Varia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayank Varia

Since Specialization
Citations

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