Aditya Kanade
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
- Software 10
- Software Testing and Debugging Techniques 9
- Software Reliability and Analysis Research 4
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- Parallel Computing and Optimization Techniques 6
- Real-Time Systems Scheduling 3
- Embedded Systems Design Techniques 2
- Co-authors
- Rupak Majumdar (1 shared paper)Alessandro Orso (1 shared paper)Rajeev Alur (2 shared papers)Shirish Shevade (3 shared papers)S. Ramesh (1 shared paper)K. C. Shashidhar (1 shared paper)Sumit Gulwani (2 shared papers)Aditya Shukla (1 shared paper)
- Journals
- Electronic Notes in Theoretical Computer Science (1 paper)Scholarly Commons (University of Pennsylvania) (1 paper)NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (3 papers)ScholarlyCommons (University of Pennsylvania) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Aditya Kanade
14 papers receiving 376 citations
Peers
Comparison fields: 5 of 31
- Software 223
- Hardware and Architecture 70
- Computer Science Applications 40
- Information Systems 152
- Signal Processing 68
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-authors
The 19 scholars most cited alongside Aditya Kanade, 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 | 2014 | 89 | |
| 2 | 2014 | 63 | |
| 3 | 2020 | 62 | |
| 4 | 2008 | 50 | |
| 5 | 2016 | 45 | |
| 6 | 2024 | 26 | |
| 7 | 2024 | 14 | |
| 8 | Neural Attribution for Semantic Bug-Localization in Student Programs | 2019 | 13 |
| 9 | 2017 | 9 | |
| 10 | 2010 | 8 | |
| 11 | 2015 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2007 | 3 | |
| 14 | 2012 | 2 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About Aditya Kanade
Aditya Kanade is a scholar working on Software, Hardware and Architecture, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 16 papers that have together received 393 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (9 papers), Parallel Computing and Optimization Techniques (6 papers), Software Reliability and Analysis Research (4 papers), Formal Methods in Verification (4 papers), Software Engineering Research (3 papers), Real-Time Systems Scheduling (3 papers), Embedded Systems Design Techniques (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Software (223 citations), Hardware and Architecture (70 citations), Computer Science Applications (40 citations), Information Systems (152 citations) and Signal Processing (68 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, S. Ramesh, K. C. Shashidhar, Sumit Gulwani, Aditya Shukla, Vinod Ganapathy and Sriram K. Rajamani. Their work appears in journals such as Electronic Notes in Theoretical Computer Science, Scholarly Commons (University of Pennsylvania), NOT FOUND REPOSITORY (Indian Institute of Science Bangalore), ScholarlyCommons (University of Pennsylvania) 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.