Sushant Sachdeva
Impact in
- Computational Mathematics top 10%
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- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
Papers in ⓘ
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- Complexity and Algorithms in Graphs 14
- Advanced Graph Theory Research 6
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- Computational Geometry and Mesh Generation 4
- Co-authors
- Nisheeth K. Vishnoi (3 shared papers)Rasmus Kyng (9 shared papers)Richard Peng (7 shared papers)Yang P. Liu (4 shared papers)Lorenzo Orecchia (1 shared paper)Maximilian Probst Gutenberg (4 shared papers)Sanjeev Arora (3 shared papers)Li Chen (1 shared paper)
- Journals
- Communications of the ACM (1 paper)Operations Research Letters (1 paper)Algorithmica (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)SIAM Journal on Computing (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Sushant Sachdeva
29 papers receiving 284 citations
Peers
Comparison fields: 5 of 66
- Computational Mathematics 9
- Computational Theory and Mathematics 154
- Computer Graphics and Computer-Aided Design 19
- Artificial Intelligence 132
- Statistics and Probability 33
Countries citing papers authored by Sushant Sachdeva
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).
Fields of papers citing papers by Sushant Sachdeva
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.
Co-authors
The 25 scholars most cited alongside Sushant Sachdeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2012 | 37 | |
| 3 | 2016 | 34 | |
| 4 | 2014 | 27 | |
| 5 | 2012 | 24 | |
| 6 | 2017 | 17 | |
| 7 | 2015 | 15 | |
| 8 | 2023 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2013 | 10 | |
| 11 | Fast, provable algorithms for Isotonic regression in all ℓ- p -norms | 2015 | 9 |
| 12 | Algorithms for Lipschitz Learning on Graphs | 2015 | 7 |
| 13 | 2013 | 5 | |
| 14 | 2009 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2015 | 4 | |
| 17 | Real Analysis in Computer Science: A collection of Open Problems | 2014 | 3 |
| 18 | 2014 | 3 | |
| 19 | On the Characterization and Selection of Diverse Conformational Ensembles | 2008 | 3 |
| 20 | 2016 | 3 |
About Sushant Sachdeva
Sushant Sachdeva is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Statistics and Probability, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 32 papers that have together received 307 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (14 papers), Advanced Graph Theory Research (6 papers), Markov Chains and Monte Carlo Methods (6 papers), Machine Learning and Algorithms (5 papers), Neural Networks and Applications (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Computational Geometry and Mesh Generation (4 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computational Mathematics (9 citations), Computational Theory and Mathematics (154 citations), Computer Graphics and Computer-Aided Design (19 citations), Artificial Intelligence (132 citations) and Statistics and Probability (33 citations). Sushant Sachdeva has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Nisheeth K. Vishnoi, Rasmus Kyng, Richard Peng, Yang P. Liu, Lorenzo Orecchia, Maximilian Probst Gutenberg, Sanjeev Arora, Li Chen, Daniel A. Spielman and Anup Rao. Their work appears in journals such as Communications of the ACM, Operations Research Letters, Algorithmica, IEEE/ACM Transactions on Computational Biology and Bioinformatics and SIAM Journal on Computing.
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.