Rishabh Singh

5.4k citations
84 papers · 3.0k · 3 hit papers · h-index 27

Impact in

Papers in

    • Software Engineering Research 34
    • Software Testing and Debugging Techniques 30
    • Spreadsheets and End-User Computing 7

Rishabh Singh

76 papers receiving 2.9k citations

Rishabh Singh's Hit Papers

Learn&Fuzz: Machine learning for input fuzzing 2017 · 215 citations
2150+4+8Years since publication100200300

Peers

Rishabh Singh
Comparison fields: 5 of 90
  • Software 1.5k
  • Computer Science Applications 510
  • Information Systems 1.5k
  • Hardware and Architecture 315
  • Artificial Intelligence 1.3k
Replace Earl T. Barr with:
Earl T. Barr United Kingdom
Sandro Morasca Italy
José Carlos Maldonado Brazil
Lori Pollock United States
Oscar Nierstrasz Switzerland
Thomas J. McCabe United States
Yuriy Brun United States
Sté́phane Ducasse France
Shriram Krishnamurthi United States
Danny Dig United States
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Citations per field
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Citations per year

Countries citing papers authored by Rishabh Singh

Since Specialization
Citations

This map shows the geographic impact of Rishabh Singh'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 Rishabh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishabh Singh more than expected).

Fields of papers citing papers by Rishabh Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rishabh Singh. 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 Rishabh Singh. The network helps show where Rishabh Singh may publish in the future.

Co-authors

The 25 scholars most cited alongside Rishabh Singh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rishabh Singh Line = papers co-authored together Rishabh Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Syntax-guided synthesis
Hit paper breakdown →
2013377
2
Automated feedback generation for introductory programming assignments
Hit paper breakdown →
2013284
3 2017222
4
Learn&Fuzz: Machine learning for input fuzzing
Hit paper breakdown →
2017215
5 2012208
6 2015131
7
Program Synthesis
201796
8 201287
9 201281
10 201677
11 201866
12 201666
13 201165
14
Syntax-guided synthesis
201364
15 201864
16 201563
17 201857
18
Global Relational Models of Source Code
202054
19 201749
20 201544

About Rishabh Singh

Rishabh Singh is a scholar working on Information Systems, Software, Artificial Intelligence, Computer Science Applications and Computer Networks and Communications, having authored 84 papers that have together received 3.0k indexed citations. Recurring topics across this work include Software Engineering Research (34 papers), Software Testing and Debugging Techniques (30 papers), Teaching and Learning Programming (12 papers), Logic, programming, and type systems (9 papers), Spreadsheets and End-User Computing (7 papers), Formal Methods in Verification (7 papers), Machine Learning and Algorithms (6 papers) and Data Quality and Management (5 papers). The work is most often cited by research in Software (1.5k citations), Computer Science Applications (510 citations), Information Systems (1.5k citations), Hardware and Architecture (315 citations) and Artificial Intelligence (1.3k citations). Rishabh Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sumit Gulwani, Armando Solar-Lezama, Oleksandr Polozov, Rajeev Alur, Hila Peleg, Patrice Godefroid, William R. Harris, Sanjit A. Seshia, Rastislav Bodík and Mukund Raghothaman. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages, Proceedings of the VLDB Endowment, Communications of the ACM and Lecture notes in computer science.

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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