Yogish Sabharwal
- Computational Mathematics top 5%
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 16
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- Optimization and Search Problems 18
- Advanced Data Storage Technologies 9
- Distributed and Parallel Computing Systems 9
- Interconnection Networks and Systems 9
- Distributed systems and fault tolerance 8
- Signal Processing top 5%
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- Complexity and Algorithms in Graphs 15
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- Algorithms and Data Compression 7
- Co-authors
- Amit KumarVenkatesan T. ChakaravarthySubhankar SenRahul GargSandeep SenFabrizio PetriniFabio ChecconiPhilip Heidelberger
- Journals
- Journal of the ACM (1 paper)SIAM Review (1 paper)IEEE Transactions on Parallel and Distributed Systems (2 papers)
- Partner nations
- IndiaUnited StatesBrunei
In The Last Decade
Yogish Sabharwal
59 papers receiving 679 citations
Peers
Comparison fields: 5 of 66
- Computational Mathematics 30
- Hardware and Architecture 180
- Computer Networks and Communications 336
- Computer Graphics and Computer-Aided Design 37
- Signal Processing 102
Countries citing papers authored by Yogish Sabharwal
This map shows the geographic impact of Yogish Sabharwal'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 Yogish Sabharwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogish Sabharwal more than expected).
Fields of papers citing papers by Yogish Sabharwal
This network shows the impact of papers produced by Yogish Sabharwal. 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 Yogish Sabharwal. The network helps show where Yogish Sabharwal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yogish Sabharwal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 12 | |
| 3 | 2016 | 35 | |
| 4 | 2016 | 3 | |
| 5 | 2015 | 5 | |
| 6 | 2013 | 2 | |
| 7 | 2013 | 2 | |
| 8 | 2013 | 1 | |
| 9 | 2012 | 6 | |
| 10 | 2012 | 34 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 2 | |
| 13 | 2012 | 4 | |
| 14 | 2011 | 15 | |
| 15 | 2011 | 3 | |
| 16 | 2010 | 9 | |
| 17 | 2008 | 4 | |
| 18 | 2006 | 16 | |
| 19 | 2006 | 3 | |
| 20 | 2006 | 8 |
About Yogish Sabharwal
Yogish Sabharwal is a scholar working on Computational Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 61 papers that have together received 727 indexed citations. Recurring topics across this work include Optimization and Search Problems (18 papers), Parallel Computing and Optimization Techniques (16 papers), Complexity and Algorithms in Graphs (15 papers), Advanced Data Storage Technologies (9 papers), Distributed and Parallel Computing Systems (9 papers), Interconnection Networks and Systems (9 papers), Distributed systems and fault tolerance (8 papers) and Algorithms and Data Compression (7 papers). The work is most often cited by research in Computational Mathematics (30 citations), Hardware and Architecture (180 citations) and Computer Networks and Communications (336 citations). Yogish Sabharwal has collaborated with scholars based in India, United States and Brunei. Frequent co-authors include Amit Kumar, Venkatesan T. Chakaravarthy, Subhankar Sen, Rahul Garg, Sandeep Sen, Fabrizio Petrini, Fabio Checconi, Philip Heidelberger, Vinayaka Pandit and Sameer Kumar. Their work appears in journals such as Journal of the ACM, SIAM Review and IEEE Transactions on Parallel and Distributed Systems.
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.