Abhishek Udupa
- Software top 2%
- Information Systems top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Rajeev AlurMilo M. K. MartinMatthew J. ThazhuthaveetilR. GovindarajanEmina TorlakArmando Solar-LezamaSanjit A. SeshiaRishabh Singh
- Topics
- Parallel Computing and Optimization Techniques (8 papers)Software System Performance and Reliability (5 papers)Software Testing and Debugging Techniques (4 papers)
- Journals
- International Journal of Electrical Power & Energy SystemsACM SIGPLAN NoticesProceedings of the ACM on Programming Languages
- Partner nations
- IndiaUnited States
In The Last Decade
Abhishek Udupa
12 papers receiving 588 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Software 238
- Information Systems 232
- Hardware and Architecture 229
- Artificial Intelligence 220
- Computer Networks and Communications 176
Countries citing papers authored by Abhishek Udupa
This map shows the geographic impact of Abhishek Udupa'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 Abhishek Udupa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhishek Udupa more than expected).
Fields of papers citing papers by Abhishek Udupa
This network shows the impact of papers produced by Abhishek Udupa. 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 Abhishek Udupa. The network helps show where Abhishek Udupa may publish in the future.
Co-authorship network of co-authors of Abhishek Udupa
This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Udupa. A scholar is included among the top collaborators of Abhishek Udupa 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 Abhishek Udupa. Abhishek Udupa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | Alter: Leveraging Breakable Dependences for Parallelization | 0 |
| 3 | Syntax-guided synthesisbreakdown → | 257 |
| 4 | Syntax-guided synthesis | 45 |
| 5 | 27 | |
| 6 | 96 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 11 | |
| 10 | 78 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 32 |
About Abhishek Udupa
Abhishek Udupa is a scholar working on Software, Hardware and Architecture and Computer Networks and Communications, having authored 13 papers that have together received 615 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Software System Performance and Reliability (5 papers) and Software Testing and Debugging Techniques (4 papers). The work is most often cited by research in Software (238 citations), Hardware and Architecture (229 citations) and Information Systems (232 citations). Abhishek Udupa has collaborated with scholars based in India and United States. Frequent co-authors include Rajeev Alur, Milo M. K. Martin, Matthew J. Thazhuthaveetil, R. Govindarajan, Emina Torlak, Armando Solar-Lezama, Sanjit A. Seshia, Rishabh Singh, Rastislav Bodík and Mukund Raghothaman. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, ACM SIGPLAN Notices and Proceedings of the ACM on Programming Languages.
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.