Aditya Kanade

769 total citations
16 papers, 377 citations indexed

About

Aditya Kanade is a scholar working on Software, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Aditya Kanade has authored 16 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Software, 6 papers in Hardware and Architecture and 6 papers in Artificial Intelligence. Recurrent topics in Aditya Kanade's work include Software Testing and Debugging Techniques (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). Aditya Kanade is often cited by papers focused on Software Testing and Debugging Techniques (9 papers), Parallel Computing and Optimization Techniques (6 papers) and Software Reliability and Analysis Research (4 papers). Aditya Kanade collaborates with scholars based in India, United States and Germany. Aditya Kanade's 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 and has published in prestigious journals such as Electronic Notes in Theoretical Computer Science, Neural Information Processing Systems and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Aditya Kanade

14 papers receiving 360 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Aditya Kanade India	9	220	148	112	104	69	16	377
Hila Peleg Israel	9	221 1.0×	192 1.3×	115 1.0×	46 0.4×	43 0.6×	15	327
Maria Christakis Germany	11	239 1.1×	200 1.4×	127 1.1×	52 0.5×	26 0.4×	26	393
Ramsay Taylor United Kingdom	4	363 1.6×	217 1.5×	99 0.9×	62 0.6×	56 0.8×	7	433
Shachar Itzhaky United States	10	119 0.5×	79 0.5×	140 1.3×	154 1.5×	84 1.2×	26	316
Gogul Balakrishnan United States	11	244 1.1×	222 1.5×	211 1.9×	89 0.9×	78 1.1×	18	446
Steven J. Zeil United States	11	405 1.8×	221 1.5×	60 0.5×	67 0.6×	63 0.9×	34	452
Pascale Thévenod-Fosse France	11	475 2.2×	331 2.2×	91 0.8×	101 1.0×	50 0.7×	24	562
Jin-Cherng Lin Taiwan	11	232 1.1×	231 1.6×	78 0.7×	116 1.1×	25 0.4×	35	383
Ilinca Ciupa Switzerland	11	546 2.5×	402 2.7×	74 0.7×	73 0.7×	36 0.5×	13	580
Ravi Chugh United States	9	97 0.4×	207 1.4×	246 2.2×	78 0.8×	58 0.8×	21	382

Countries citing papers authored by Aditya Kanade

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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16 of 16 papers shown

Natarajan, Nagarajan, et al.. (2024). CORE: Resolving Code Quality Issues using LLMs. Proceedings of the ACM on software engineering.. 1(FSE). 789–811. 11 indexed citations

Joshi, Harshit, et al.. (2024). FLAME: A Small Language Model for Spreadsheet Formulas. Proceedings of the AAAI Conference on Artificial Intelligence. 38(12). 12995–13003.

Kanade, Aditya, et al.. (2024). CodePlan: Repository-Level Coding using LLMs and Planning. Proceedings of the ACM on software engineering.. 1(FSE). 675–698. 20 indexed citations

Kanade, Aditya, et al.. (2024). CodeQueries: A Dataset of Semantic Queries over Code. 1–11.

Shukla, Aditya, et al.. (2020). ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data. Proceedings of the AAAI Conference on Artificial Intelligence. 34(1). 865–872. 60 indexed citations

Gupta, Rahul, Aditya Kanade, & Shirish Shevade. (2019). Neural Attribution for Semantic Bug-Localization in Student Programs. Neural Information Processing Systems. 32. 11861–11871. 13 indexed citations

Kanade, Aditya, et al.. (2017). Static deadlock detection for asynchronous C# programs. 292–305. 9 indexed citations

Kanade, Aditya, et al.. (2016). Efficient race detection in the presence of programmatic event loops. 366–376. 4 indexed citations

Kanade, Aditya, et al.. (2016). Semi-supervised verified feedback generation. 739–750. 42 indexed citations

10.

Saha, Diptikalyan, et al.. (2015). P3: partitioned path profiling. 485–495. 5 indexed citations

11.

Kanade, Aditya, et al.. (2014). Race detection for Android applications. 316–325. 89 indexed citations

12.

Kanade, Aditya, et al.. (2014). MintHint: automated synthesis of repair hints. 266–276. 63 indexed citations

13.

Kanade, Aditya, et al.. (2012). Static Analysis for Checking Data Format Compatibility of Programs. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 18. 522–533. 1 indexed citations

14.

Kanade, Aditya, et al.. (2010). Representation dependence testing using program inversion. 277–286. 8 indexed citations

15.

Alur, Rajeev, Aditya Kanade, S. Ramesh, & K. C. Shashidhar. (2008). Symbolic analysis for improving simulation coverage of Simulink/Stateflow models. 89–98. 49 indexed citations

16.

Kanade, Aditya, et al.. (2007). Structuring Optimizing Transformations and Proving Them Sound. Electronic Notes in Theoretical Computer Science. 176(3). 79–95. 3 indexed citations

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.

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