Rohit Chandra
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
- Real-Time Systems Scheduling
-
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
Papers in
-
- Parallel Computing and Optimization Techniques 12
-
- Advanced Data Storage Technologies 11
- Distributed and Parallel Computing Systems 7
- Distributed systems and fault tolerance 3
- Interconnection Networks and Systems 1
- Co-authors
- Anoop GuptaMendel RosenblumScott DevineBen VergheseJohn L. HennessyAman GuptaDror MaydanJennifer M. Anderson
- Journals
- ACM SIGPLAN Notices (3 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)Computer (1 paper)ACM SIGOPS Operating Systems Review (1 paper)
- Partner nations
- United States
In The Last Decade
Rohit Chandra
12 papers receiving 369 citations
Peers
Comparison fields: 5 of 23
- Hardware and Architecture 388
- Computer Networks and Communications 374
- Information Systems 84
- Computer Graphics and Computer-Aided Design 7
- Artificial Intelligence 19
Countries citing papers authored by Rohit Chandra
This map shows the geographic impact of Rohit Chandra'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 Rohit Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Chandra more than expected).
Fields of papers citing papers by Rohit Chandra
This network shows the impact of papers produced by Rohit Chandra. 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 Rohit Chandra. The network helps show where Rohit Chandra may publish in the future.
Co-authors
The 14 scholars most cited alongside Rohit Chandra, 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 | 1999 | 35 | |
| 2 | 1999 | 6 | |
| 3 | 1997 | 48 | |
| 4 | 1997 | 13 | |
| 5 | The COOL Parallel Programming Language: Design, Implementation, and Performance | 1995 | 2 |
| 6 | 1994 | 98 | |
| 7 | 1994 | 43 | |
| 8 | 1994 | 3 | |
| 9 | 1994 | 86 | |
| 10 | 1994 | 23 | |
| 11 | 1993 | 5 | |
| 12 | 1993 | 46 |
About Rohit Chandra
Rohit Chandra is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Infectious Diseases and Organic Chemistry, having authored 12 papers that have together received 408 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Advanced Data Storage Technologies (11 papers), Distributed and Parallel Computing Systems (7 papers), Distributed systems and fault tolerance (3 papers), Cloud Computing and Resource Management (2 papers) and Interconnection Networks and Systems (1 paper). The work is most often cited by research in Hardware and Architecture (388 citations), Computer Networks and Communications (374 citations), Information Systems (84 citations), Computer Graphics and Computer-Aided Design (7 citations) and Artificial Intelligence (19 citations). Rohit Chandra has collaborated with scholars based in United States. Frequent co-authors include Anoop Gupta, Mendel Rosenblum, Scott Devine, Ben Verghese, John L. Hennessy, Aman Gupta, Dror Maydan, Jennifer M. Anderson, Dongming Jiang and Jaswinder Singh. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGMETRICS Performance Evaluation Review, Computer and ACM SIGOPS Operating Systems Review.
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.