Arjun Guha

3.4k total citations
53 papers, 1.9k citations indexed

About

Arjun Guha is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Arjun Guha has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 22 papers in Information Systems and 21 papers in Computer Networks and Communications. Recurrent topics in Arjun Guha's work include Security and Verification in Computing (18 papers), Software Engineering Research (14 papers) and Software-Defined Networks and 5G (13 papers). Arjun Guha is often cited by papers focused on Security and Verification in Computing (18 papers), Software Engineering Research (14 papers) and Software-Defined Networks and 5G (13 papers). Arjun Guha collaborates with scholars based in United States, Mexico and United Kingdom. Arjun Guha's co-authors include Shriram Krishnamurthi, Nate Foster, Mark Reitblatt, Andrew D. Ferguson, Rodrigo Fonseca, Cole Schlesinger, David Walker, Carolyn Jane Anderson, Jean-Baptiste Jeannin and Marco Canini and has published in prestigious journals such as Communications of the ACM, IEEE Communications Magazine and IEEE Transactions on Software Engineering.

In The Last Decade

Arjun Guha

50 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arjun Guha United States	21	1.3k	672	661	292	267	53	1.9k
Michel Dagenais Canada	22	1.1k 0.9×	485 0.7×	834 1.3×	368 1.3×	140 0.5×	139	1.8k
Kapil Vaswani India	21	659 0.5×	752 1.1×	709 1.1×	573 2.0×	214 0.8×	48	1.6k
Stelios Sidiroglou United States	17	923 0.7×	591 0.9×	504 0.8×	614 2.1×	435 1.6×	33	1.7k
Dejan Kostić Switzerland	31	3.5k 2.7×	344 0.5×	1.0k 1.5×	415 1.4×	521 2.0×	104	3.7k
Aurojit Panda United States	27	2.4k 1.9×	475 0.7×	1.1k 1.6×	447 1.5×	465 1.7×	66	2.8k
Marcos K. Aguilera United States	26	3.0k 2.3×	414 0.6×	1.2k 1.9×	535 1.8×	100 0.4×	80	3.1k
Karthikeyan Bhargavan United Kingdom	26	1.1k 0.8×	1.3k 1.9×	882 1.3×	115 0.4×	149 0.6×	66	1.9k
Cole Schlesinger United States	15	3.1k 2.4×	617 0.9×	664 1.0×	417 1.4×	844 3.2×	27	3.3k
Eric Eide United States	17	820 0.6×	631 0.9×	1.0k 1.5×	474 1.6×	180 0.7×	49	2.2k
Jeff Huang United States	19	664 0.5×	364 0.5×	546 0.8×	570 2.0×	155 0.6×	73	1.4k

Countries citing papers authored by Arjun Guha

Since Specialization

Citations

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

Fields of papers citing papers by Arjun Guha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arjun Guha

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

All Works

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20 of 20 papers shown

Guha, Arjun, et al.. (2025). Bridging the Gap Between Binary and Source Based Package Management in Spack. 556–569.

Nguyen, Sydney, et al.. (2024). StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code. 8452–8474. 6 indexed citations

Anderson, Carolyn Jane, et al.. (2024). Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 677–708. 7 indexed citations

Nguyen, Sydney, Ming‐Ho Yee, Yangtian Zi, et al.. (2023). MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation. IEEE Transactions on Software Engineering. 49(7). 3675–3691. 49 indexed citations

Rossberg, Andreas, Arjun Guha, Daan Leijen, et al.. (2023). Continuing WebAssembly with Effect Handlers. Proceedings of the ACM on Programming Languages. 7(OOPSLA2). 460–485. 8 indexed citations

DeOrio, Andrew, et al.. (2022). On the use of mutation analysis for evaluating student test suite quality. Zenodo (CERN European Organization for Nuclear Research). 263–275. 4 indexed citations

Andrews, Simon, et al.. (2021). Iterative Program Synthesis for Adaptable Social Navigation. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 6256–6261. 4 indexed citations

Guha, Arjun, et al.. (2020). Robot Action Selection Learning via Layered Dimension Informed Program Synthesis. arXiv (Cornell University). 1471–1480. 1 indexed citations

Brun, Yuriy, et al.. (2020). TacTok: semantics-aware proof synthesis. Proceedings of the ACM on Programming Languages. 4(OOPSLA). 1–31. 21 indexed citations

10.

Aldrich, Jonathan, David Garlan, Claire Le Goues, et al.. (2019). Model-Based Adaptation for Robotics Software. IEEE Software. 36(2). 83–90. 16 indexed citations

11.

Jangda, Abhinav, et al.. (2019). Mind the Gap: Analyzing the Performance of WebAssembly vs. Native Code.. arXiv (Cornell University). 3 indexed citations

12.

Jangda, Abhinav, et al.. (2019). Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code. USENIX Annual Technical Conference. 44. 107–120. 15 indexed citations

13.

Baxter, S., et al.. (2018). Putting in all the stops: execution control for JavaScript. ACM SIGPLAN Notices. 53(4). 30–45.

14.

Weiss, Aaron, et al.. (2015). On Static Verification of Puppet System Configurations.. arXiv (Cornell University). 2 indexed citations

15.

Politz, Joe Gibbs, et al.. (2015). ADsafety: Type-Based Verification of JavaScript Sandboxing. arXiv (Cornell University). 12–12. 17 indexed citations

16.

Casado, Martín, Nate Foster, & Arjun Guha. (2014). Abstractions for software-defined networks. Communications of the ACM. 57(10). 86–95. 68 indexed citations

17.

Anderson, Carolyn Jane, Nate Foster, Arjun Guha, et al.. (2014). NetKAT. ACM SIGPLAN Notices. 49(1). 113–126. 51 indexed citations

18.

Politz, Joe Gibbs, Arjun Guha, & Shriram Krishnamurthi. (2014). Typed-based verification of Web sandboxes. Journal of Computer Security. 22(4). 511–565. 5 indexed citations

19.

Ferguson, Andrew D., Arjun Guha, Liang Chen, Rodrigo Fonseca, & Shriram Krishnamurthi. (2012). Hierarchical policies for software defined networks. 37–42. 55 indexed citations

20.

Guha, Arjun, Shriram Krishnamurthi, & Trevor Jim. (2009). Using static analysis for Ajax intrusion detection. 561–570. 104 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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