Prasad A. Kulkarni
- Hardware and Architecture top 1%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Software top 5%
- Co-authors
- David WhalleyJack W. DavidsonDouglas L. JonesJason D. HiserGary TysonKyle A. GallivanMark W. BaileyYunheung Paek
- Topics
- Parallel Computing and Optimization Techniques (40 papers)Embedded Systems Design Techniques (15 papers)Cloud Computing and Resource Management (13 papers)
- Journals
- ACM SIGPLAN NoticesSoftware Practice and ExperienceACM Transactions on Embedded Computing Systems
- Partner nations
- United StatesSouth Korea
In The Last Decade
Prasad A. Kulkarni
44 papers receiving 542 citations
Peers
Comparison fields: 5 of 28
- Hardware and Architecture 503
- Artificial Intelligence 236
- Computer Networks and Communications 214
- Information Systems 171
- Software 85
Countries citing papers authored by Prasad A. Kulkarni
This map shows the geographic impact of Prasad A. Kulkarni'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 Prasad A. Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prasad A. Kulkarni more than expected).
Fields of papers citing papers by Prasad A. Kulkarni
This network shows the impact of papers produced by Prasad A. Kulkarni. 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 Prasad A. Kulkarni. The network helps show where Prasad A. Kulkarni may publish in the future.
Co-authorship network of co-authors of Prasad A. Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Prasad A. Kulkarni. A scholar is included among the top collaborators of Prasad A. Kulkarni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prasad A. Kulkarni. Prasad A. Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | 46 | |
| 14 | 19 | |
| 15 | 33 | |
| 16 | 9 | |
| 17 | 30 | |
| 18 | 68 | |
| 19 | Performance Driven Optimization Tuning in Vista | 1 |
| 20 | 40 |
About Prasad A. Kulkarni
Prasad A. Kulkarni is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 45 papers that have together received 569 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (40 papers), Embedded Systems Design Techniques (15 papers) and Cloud Computing and Resource Management (13 papers). The work is most often cited by research in Hardware and Architecture (503 citations), Software (85 citations) and Computer Networks and Communications (214 citations). Prasad A. Kulkarni has collaborated with scholars based in United States and South Korea. Frequent co-authors include David Whalley, Jack W. Davidson, Douglas L. Jones, Jason D. Hiser, Gary Tyson, Kyle A. Gallivan, Mark W. Bailey, Yunheung Paek, Kshitij Doshi and Matthew Arnold. Their work appears in journals such as ACM SIGPLAN Notices, Software Practice and Experience and ACM Transactions on Embedded Computing 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.