Sushant Sachdeva
Impact in
- Computational Mathematics top 10%
-
- Complexity and Algorithms in Graphs
- Advanced Graph Theory Research
Papers in
-
- Complexity and Algorithms in Graphs 24
- Advanced Graph Theory Research 10
-
- Stochastic Gradient Optimization Techniques 7
- Machine Learning and Algorithms 6
- Advanced Graph Neural Networks 4
- Co-authors
- Rasmus Kyng (13 shared papers)Nisheeth K. Vishnoi (3 shared papers)Richard Peng (10 shared papers)Lorenzo Orecchia (1 shared paper)Maximilian Probst Gutenberg (7 shared papers)Yang P. Liu (8 shared papers)Li Chen (2 shared papers)Sanjeev Arora (4 shared papers)
- Journals
- Algorithmica (1 paper)IEEE/ACM Transactions on Computational Biology and Bioinformatics (1 paper)Journal of the ACM (1 paper)Operations Research Letters (1 paper)SIAM Journal on Discrete Mathematics (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Sushant Sachdeva
42 papers receiving 397 citations
Peers
Comparison fields: 5 of 72
- Computational Mathematics 12
- Computational Theory and Mathematics 226
- Computer Graphics and Computer-Aided Design 30
- Numerical Analysis 30
- Statistics and Probability 43
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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 79 | |
| 2 | 2012 | 50 | |
| 3 | 2016 | 40 | |
| 4 | 2014 | 33 | |
| 5 | 2012 | 31 | |
| 6 | 2017 | 21 | |
| 7 | 2015 | 19 | |
| 8 | 2018 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2019 | 10 | |
| 12 | Fast, provable algorithms for Isotonic regression in all ℓ- p -norms | 2015 | 9 |
| 13 | 2019 | 9 | |
| 14 | Algorithms for Lipschitz Learning on Graphs | 2015 | 7 |
| 15 | 2013 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2011 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2020 | 5 |
About Sushant Sachdeva
Sushant Sachdeva is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Statistics and Probability and Computational Mechanics, having authored 48 papers that have together received 426 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (24 papers), Advanced Graph Theory Research (10 papers), Markov Chains and Monte Carlo Methods (8 papers), Optimization and Search Problems (8 papers), Stochastic Gradient Optimization Techniques (7 papers), Machine Learning and Algorithms (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Computational Mathematics (12 citations), Computational Theory and Mathematics (226 citations), Computer Graphics and Computer-Aided Design (30 citations), Numerical Analysis (30 citations) and Statistics and Probability (43 citations). Sushant Sachdeva has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Rasmus Kyng, Nisheeth K. Vishnoi, Richard Peng, Lorenzo Orecchia, Maximilian Probst Gutenberg, Yang P. Liu, Li Chen, Sanjeev Arora, Rishi Saket and Daniel A. Spielman. Their work appears in journals such as Algorithmica, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Journal of the ACM, Operations Research Letters and SIAM Journal on Discrete Mathematics.
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.