Protonu Basu
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 13
- Embedded Systems Design Techniques 2
-
- Advanced Data Storage Technologies 10
- Distributed and Parallel Computing Systems 8
- Co-authors
- Mary Hall (11 shared papers)Samuel Williams (10 shared papers)Leonid Oliker (5 shared papers)Brian Van Straalen (4 shared papers)Malik M. Khan (2 shared papers)Jacqueline Chame (1 shared paper)Chun Chen (1 shared paper)Phillip Colella (2 shared papers)
- Journals
- The International Journal of High Performance Computing Applications (2 papers)ACM SIGPLAN Notices (1 paper)Parallel Computing (1 paper)ACM Transactions on Architecture and Code Optimization (1 paper)eScholarship (California Digital Library) (4 papers)
- Partner nations
- United StatesIsraelPakistan
In The Last Decade
Protonu Basu
12 papers receiving 194 citations
Peers
Comparison fields: 5 of 34
- Hardware and Architecture 171
- Computational Mathematics 7
- Computer Networks and Communications 141
- Software 7
- Computer Graphics and Computer-Aided Design 5
Countries citing papers authored by Protonu Basu
This map shows the geographic impact of Protonu Basu'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 Protonu Basu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Protonu Basu more than expected).
Fields of papers citing papers by Protonu Basu
This network shows the impact of papers produced by Protonu Basu. 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 Protonu Basu. The network helps show where Protonu Basu may publish in the future.
Co-authors
The 20 scholars most cited alongside Protonu Basu, 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 | 2013 | 39 | |
| 2 | 2018 | 34 | |
| 3 | 2019 | 31 | |
| 4 | 2015 | 28 | |
| 5 | 2013 | 25 | |
| 6 | 2013 | 15 | |
| 7 | 2017 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2024 | 3 | |
| 10 | 2014 | 3 | |
| 11 | 2018 | 2 | |
| 12 | 2017 | 1 | |
| 13 | 2018 | 0 |
About Protonu Basu
Protonu Basu is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 13 papers that have together received 204 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (13 papers), Advanced Data Storage Technologies (10 papers), Distributed and Parallel Computing Systems (8 papers), Numerical Methods and Algorithms (3 papers), Embedded Systems Design Techniques (2 papers), Logic, programming, and type systems (1 paper) and Cloud Computing and Resource Management (1 paper). The work is most often cited by research in Hardware and Architecture (171 citations), Computational Mathematics (7 citations), Computer Networks and Communications (141 citations), Software (7 citations) and Computer Graphics and Computer-Aided Design (5 citations). Protonu Basu has collaborated with scholars based in United States, Israel and Pakistan. Frequent co-authors include Mary Hall, Samuel Williams, Leonid Oliker, Brian Van Straalen, Malik M. Khan, Jacqueline Chame, Chun Chen, Phillip Colella, Hans Johansen and Gabe Rudy. Their work appears in journals such as The International Journal of High Performance Computing Applications, ACM SIGPLAN Notices, Parallel Computing, ACM Transactions on Architecture and Code Optimization and eScholarship (California Digital Library).
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.