Priya Nagpurkar
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Chandra KrintzBen Y. ZhaoP. SweeneyV. T. RajanKazuaki IshizakiMichael HindTimothy SherwoodTakeshi Ogasawara
- Topics
- Parallel Computing and Optimization Techniques (15 papers)Cloud Computing and Resource Management (7 papers)Software System Performance and Reliability (5 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Priya Nagpurkar
24 papers receiving 269 citations
Peers
Comparison fields: 5 of 22
- Computer Networks and Communications 204
- Hardware and Architecture 170
- Information Systems 110
- Artificial Intelligence 86
- Electrical and Electronic Engineering 24
Countries citing papers authored by Priya Nagpurkar
This map shows the geographic impact of Priya Nagpurkar'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 Priya Nagpurkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priya Nagpurkar more than expected).
Fields of papers citing papers by Priya Nagpurkar
This network shows the impact of papers produced by Priya Nagpurkar. 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 Priya Nagpurkar. The network helps show where Priya Nagpurkar may publish in the future.
Co-authorship network of co-authors of Priya Nagpurkar
This figure shows the co-authorship network connecting the top 25 collaborators of Priya Nagpurkar. A scholar is included among the top collaborators of Priya Nagpurkar 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 Priya Nagpurkar. Priya Nagpurkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Opportunities and Challenges in Adopting Microservice Architectures for Enterprise Workloads | 1 |
| 2 | 7 | |
| 3 | 24 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 11 | |
| 9 | Dualities in Programming Languages | 1 |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | Analysis, detection, and exploitation of phase behavior in java programs | 0 |
| 15 | 13 | |
| 16 | 10 | |
| 17 | 40 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 12 |
About Priya Nagpurkar
Priya Nagpurkar is a scholar working on Hardware and Architecture, Software and Computer Networks and Communications, having authored 25 papers that have together received 289 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (15 papers), Cloud Computing and Resource Management (7 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Hardware and Architecture (170 citations), Computer Networks and Communications (204 citations) and Information Systems (110 citations). Priya Nagpurkar has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Chandra Krintz, Ben Y. Zhao, P. Sweeney, V. T. Rajan, Kazuaki Ishizaki, Michael Hind, Timothy Sherwood, Takeshi Ogasawara, José G. Castaños and Toshio Nakatani. Their work appears in journals such as IBM Journal of Research and Development, ACM SIGPLAN Notices and Science of Computer Programming.
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.