Aditya Kanade
- Software top 2%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Hardware and Architecture top 10%
- Co-authors
- Rupak MajumdarAlessandro OrsoRajeev AlurShirish ShevadeK. C. ShashidharS. RameshSumit GulwaniAditya Shukla
- Topics
- Software Testing and Debugging Techniques (9 papers)Parallel Computing and Optimization Techniques (6 papers)Software Reliability and Analysis Research (4 papers)
- Journals
- Electronic Notes in Theoretical Computer ScienceePrints@IISc (Indian Institute of Science)Proceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Aditya Kanade
14 papers receiving 360 citations
Peers
Comparison fields: 5 of 31
- Software 220
- Information Systems 148
- Artificial Intelligence 112
- Computer Networks and Communications 104
- Hardware and Architecture 69
Countries citing papers authored by Aditya Kanade
This map shows the geographic impact of Aditya Kanade'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 Aditya Kanade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Kanade more than expected).
Fields of papers citing papers by Aditya Kanade
This network shows the impact of papers produced by Aditya Kanade. 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 Aditya Kanade. The network helps show where Aditya Kanade may publish in the future.
Co-authorship network of co-authors of Aditya Kanade
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Kanade. A scholar is included among the top collaborators of Aditya Kanade 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 Aditya Kanade. Aditya Kanade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 0 | |
| 5 | 60 | |
| 6 | Neural Attribution for Semantic Bug-Localization in Student Programs | 13 |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 42 | |
| 10 | 5 | |
| 11 | 89 | |
| 12 | 63 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 49 | |
| 16 | 3 |
About Aditya Kanade
Aditya Kanade is a scholar working on Software, Hardware and Architecture and Computational Theory and Mathematics, having authored 16 papers that have together received 377 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Software (220 citations), Hardware and Architecture (69 citations) and Computer Science Applications (38 citations). Aditya Kanade has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Rupak Majumdar, Alessandro Orso, Rajeev Alur, Shirish Shevade, K. C. Shashidhar, S. Ramesh, Sumit Gulwani, Aditya Shukla, Vinod Ganapathy and Sriram K. Rajamani. Their work appears in journals such as Electronic Notes in Theoretical Computer Science, ePrints@IISc (Indian Institute of Science) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.