Rupesh Nasre
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 20
- Software 7
- Software Testing and Debugging Techniques 7
- Co-authors
- Martin BurtscherKeshav PingaliAman SharmaY. N. SrikantB. K. PanigrahiR. GovindarajanShankar BalachandranN. S. Narayanaswamy
- Journals
- ACM SIGPLAN Notices (3 papers)Software Practice and Experience (2 papers)Journal of Systems and Software (2 papers)Advances in Complex Systems (1 paper)Automated Software Engineering (1 paper)
- Partner nations
- IndiaUnited StatesNetherlands
In The Last Decade
Rupesh Nasre
44 papers receiving 609 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Hardware and Architecture 408
- Software 66
- Computer Networks and Communications 345
- Computer Vision and Pattern Recognition 211
- Information Systems 198
Countries citing papers authored by Rupesh Nasre
This map shows the geographic impact of Rupesh Nasre'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 Rupesh Nasre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupesh Nasre more than expected).
Fields of papers citing papers by Rupesh Nasre
This network shows the impact of papers produced by Rupesh Nasre. 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 Rupesh Nasre. The network helps show where Rupesh Nasre may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Rupesh Nasre, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 0 | |
| 5 | 2022 | 0 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 5 | |
| 12 | 2019 | 15 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 3 | |
| 16 | 2016 | 9 | |
| 17 | 2012 | 5 | |
| 18 | 2011 | 6 | |
| 19 | 2005 | 1 | |
| 20 | User Interaction in the BANKS System. | 2003 | 5 |
About Rupesh Nasre
Rupesh Nasre is a scholar working on Hardware and Architecture, Software, Computer Graphics and Computer-Aided Design, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 626 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Graph Theory and Algorithms (14 papers), Distributed systems and fault tolerance (8 papers), Interconnection Networks and Systems (7 papers), Software Testing and Debugging Techniques (7 papers), Software Engineering Research (6 papers), Logic, programming, and type systems (6 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (408 citations), Software (66 citations), Computer Networks and Communications (345 citations), Computer Vision and Pattern Recognition (211 citations) and Information Systems (198 citations). Rupesh Nasre has collaborated with scholars based in India, United States and Netherlands. Frequent co-authors include Martin Burtscher, Keshav Pingali, Aman Sharma, Y. N. Srikant, B. K. Panigrahi, R. Govindarajan, Shankar Balachandran, N. S. Narayanaswamy, Bayu Rima Aditya and B. S. V. Patnaik. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience, Journal of Systems and Software, Advances in Complex Systems and Automated Software Engineering.
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.