Mukund Raghothaman

1.3k citations
29 papers · 555 indexed · 1 hit paper · h-index 11
Topics
Software Testing and Debugging Techniques (14 papers)Software Engineering Research (13 papers)Software System Performance and Reliability (6 papers)

In The Last Decade

Mukund Raghothaman

25 papers receiving 536 citations

Hit Papers

Syntax-guided synthesis2013202620172021201350100150200250

Peers

Mukund Raghothaman
Comparison fields: 5 of 37
  • Artificial Intelligence 281
  • Software 266
  • Information Systems 241
  • Computational Theory and Mathematics 171
  • Hardware and Architecture 105
Replace Francesco Logozzo with:
Francesco Logozzo United States
Liviu Tancau United States
Sharon Shoham Israel
Dino Distefano United Kingdom
Garvit Juniwal United States
Thomas Dillig United States
Rajeev Joshi United States
Bruno C. d. S. Oliveira Hong Kong
Peter Thiemann Germany
Adenilso Simão Brazil
Mukund Raghothaman relative to Francesco Logozzo United States Francesco Logozzo's profile →
Citations per field
00.5×2.6×
Francesco Logozzo · 1×
Citations per year

Countries citing papers authored by Mukund Raghothaman

Since Specialization
Citations

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

Fields of papers citing papers by Mukund Raghothaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukund Raghothaman

This figure shows the co-authorship network connecting the top 25 collaborators of Mukund Raghothaman. A scholar is included among the top collaborators of Mukund Raghothaman 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 Mukund Raghothaman. Mukund Raghothaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 3
5 0
6 1
7 6
8 6
9 8
10 14
11 23
12
Learning Loop Invariants for Program Verification
19
13 34
14 4
15 3
16 19
17 16
18 9
19
Syntax-guided synthesisbreakdown →
257
20
Syntax-guided synthesis
45

About Mukund Raghothaman

Mukund Raghothaman is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 29 papers that have together received 555 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (14 papers), Software Engineering Research (13 papers) and Software System Performance and Reliability (6 papers). The work is most often cited by research in Software (266 citations), Hardware and Architecture (105 citations) and Information Systems (241 citations). Mukund Raghothaman has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Rajeev Alur, Mayur Naik, Emina Torlak, Armando Solar-Lezama, Rishabh Singh, Garvit Juniwal, Sanjit A. Seshia, Rastislav Bodík, Abhishek Udupa and Milo M. K. Martin. Their work appears in journals such as IEEE/ACM Transactions on Networking, 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026