Shubhangi Saraf

43 papers and 337 indexed citations i.

About

Shubhangi Saraf is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Shubhangi Saraf has authored 43 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 23 papers in Computational Theory and Mathematics and 10 papers in Computer Networks and Communications. Recurrent topics in Shubhangi Saraf’s work include Combinatorial Optimization and Complexity Theory (22 papers), Coding theory and cryptography (18 papers) and Cryptography and Data Security (18 papers). Shubhangi Saraf is often cited by papers focused on Combinatorial Optimization and Complexity Theory (22 papers), Coding theory and cryptography (18 papers) and Cryptography and Data Security (18 papers). Shubhangi Saraf collaborates with scholars based in United States, Israel and The Netherlands. Shubhangi Saraf's co-authors include Swastik Kopparty, Madhu Sudan, Zeev Dvir, Neeraj Kayal, Noga Ron‐Zewi, Mrinal Kumar, Sergey Yekhanin, Or Meir, Mrinal Kumar and Avi Wigderson and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Shubhangi Saraf i

Fields of papers citing papers by Shubhangi Saraf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shubhangi Saraf

Since Specialization
Citations

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