Sushant Sachdeva

23 papers and 217 indexed citations i.

About

Sushant Sachdeva is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Sushant Sachdeva has authored 23 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Sushant Sachdeva’s work include Combinatorial Optimization and Complexity Theory (12 papers), Markov Chains and Monte Carlo Methods (6 papers) and Machine Learning and Algorithms (5 papers). Sushant Sachdeva is often cited by papers focused on Combinatorial Optimization and Complexity Theory (12 papers), Markov Chains and Monte Carlo Methods (6 papers) and Machine Learning and Algorithms (5 papers). Sushant Sachdeva collaborates with scholars based in United States, Canada and Switzerland. Sushant Sachdeva's co-authors include Rasmus Kyng, Richard Peng, Daniel A. Spielman, Yin Tat Lee, Li Chen, Yang P. Liu, Maximilian Probst Gutenberg, Anup Rao, Sanjeev Arora and Ankur Moitra 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 Sushant Sachdeva i

Fields of papers citing papers by Sushant Sachdeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sushant Sachdeva

Since Specialization
Citations

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