Sanjeev Krishnan
Impact in
- Hardware and Architecture top 1%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
-
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Interconnection Networks and Systems
Papers in
-
- Parallel Computing and Optimization Techniques 7
- Embedded Systems Design Techniques 2
-
- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 2
- Journals
- ACM SIGPLAN Notices (1 paper)Proceedings of the International Conference on Parallel Processing (1 paper)Parallel and Distributed Processing Techniques and Applications (1 paper)
- Partner nations
- United StatesUnited KingdomBulgaria
In The Last Decade
Sanjeev Krishnan
9 papers receiving 645 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Hardware and Architecture 547
- Computer Networks and Communications 595
- Computational Mathematics 4
- Information Systems 149
- Information Systems and Management 30
Countries citing papers authored by Sanjeev Krishnan
This map shows the geographic impact of Sanjeev Krishnan'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 Sanjeev Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjeev Krishnan more than expected).
Fields of papers citing papers by Sanjeev Krishnan
This network shows the impact of papers produced by Sanjeev Krishnan. 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 Sanjeev Krishnan. The network helps show where Sanjeev Krishnan may publish in the future.
Co-authors
The 5 scholars most cited alongside Sanjeev Krishnan, 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 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2002 | 35 | |
| 4 | Automating Runtime Optimizations for Load Balancing in Irregular Problems. | 1996 | 1 |
| 5 | 1996 | 3 | |
| 6 | Object-Oriented Implementation of the NAS Parallel Benchmarks using Charm++ | 1996 | 1 |
| 7 | Automating runtime optimizations for parallel object-oriented programming | 1996 | 1 |
| 8 | A Parallel Adaptive Fast Multipole Algorithm for n -Body Problems. | 1995 | 7 |
| 9 | 1993 | 13 | |
| 10 | 1993 | 91 | |
| 11 | CHARM++ Hit paper breakdown → | 1993 | 538 |
About Sanjeev Krishnan
Sanjeev Krishnan is a scholar working on Hardware and Architecture, Computer Networks and Communications, Industrial and Manufacturing Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 11 papers that have together received 696 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (5 papers), Logic, programming, and type systems (2 papers), Advanced Data Storage Technologies (2 papers), Embedded Systems Design Techniques (2 papers), Simulation Techniques and Applications (1 paper), Scheduling and Optimization Algorithms (1 paper) and Pulsars and Gravitational Waves Research (1 paper). The work is most often cited by research in Hardware and Architecture (547 citations), Computer Networks and Communications (595 citations), Computational Mathematics (4 citations), Information Systems (149 citations) and Information Systems and Management (30 citations). Sanjeev Krishnan has collaborated with scholars based in United States, United Kingdom and Bulgaria. Frequent co-authors include Laxmikant V. Kalé, Ramachandran Ramjee, Nipun Kwatra, Muthian Sivathanu and Milind Bhandarkar. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the International Conference on Parallel Processing and Parallel and Distributed Processing Techniques and Applications.
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.