Ranjit Jhala

10.7k total citations · 2 hit papers
114 papers, 4.9k citations indexed

About

Ranjit Jhala is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Software. According to data from OpenAlex, Ranjit Jhala has authored 114 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 47 papers in Computational Theory and Mathematics and 44 papers in Software. Recurrent topics in Ranjit Jhala's work include Logic, programming, and type systems (48 papers), Formal Methods in Verification (45 papers) and Security and Verification in Computing (38 papers). Ranjit Jhala is often cited by papers focused on Logic, programming, and type systems (48 papers), Formal Methods in Verification (45 papers) and Security and Verification in Computing (38 papers). Ranjit Jhala collaborates with scholars based in United States, Spain and United Kingdom. Ranjit Jhala's co-authors include Rupak Majumdar, Thomas A. Henzinger, Sorin Lerner, Grégoire Sutre, Patrick M. Rondon, Ameen Akel, Steven Swanson, Joel Coburn, Adrian M. Caulfield and Laura M. Grupp and has published in prestigious journals such as Organic Letters, ACM Computing Surveys and ACM SIGPLAN Notices.

In The Last Decade

Ranjit Jhala

108 papers receiving 4.6k citations

Hit Papers

Lazy abstraction 2002 2026 2010 2018 2002 2011 200 400 600

Peers

Ranjit Jhala
Comparison fields: 5 of 69
  • Artificial Intelligence 2.2k
  • Software 1.9k
  • Computer Networks and Communications 1.8k
  • Computational Theory and Mathematics 1.7k
  • Hardware and Architecture 1.6k
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Citations per field, relative to Ranjit Jhala
Ranjit Jhala · 1×
Citations per year, relative to Ranjit Jhala
Ranjit Jhala · 1×

Countries citing papers authored by Ranjit Jhala

Since Specialization
Citations

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

Fields of papers citing papers by Ranjit Jhala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranjit Jhala

This figure shows the co-authorship network connecting the top 25 collaborators of Ranjit Jhala. A scholar is included among the top collaborators of Ranjit Jhala 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 Ranjit Jhala. Ranjit Jhala 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
# Work Indexed citations
1 0
2 2
3 1
4 0
5 0
6 0
7 1
8 6
9 12
10 11
11 14
12 13
13 41
14
Proceedings of the 5th ACM workshop on Programming languages meets program verification
1
15 35
16
Life, Death, and the Critical Transition: Finding Liveness Bugs in Systems Code (Awarded Best Paper).
24
17 49
18 60
19 5
20 6

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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