Sanjam Garg

26 papers and 393 indexed citations i.

About

Sanjam Garg is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sanjam Garg has authored 26 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sanjam Garg’s work include Cryptography and Data Security (21 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Privacy-Preserving Technologies in Data (8 papers). Sanjam Garg is often cited by papers focused on Cryptography and Data Security (21 papers), Combinatorial Optimization and Complexity Theory (14 papers) and Privacy-Preserving Technologies in Data (8 papers). Sanjam Garg collaborates with scholars based in United States, Germany and Japan. Sanjam Garg's co-authors include Brent Waters, Amit Sahai, Craig Gentry, Shai Halevi, Mariana Raykova, Abishek Kumarasubramanian, Mohammad Mahmoody, Nico Döttling, Steve Lu and Prashant Nalini Vasudevan and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Sanjam Garg i

Fields of papers citing papers by Sanjam Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanjam Garg

Since Specialization
Citations

This map shows the geographic impact of Sanjam Garg'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 Sanjam Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjam Garg 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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2025