Rahul Krishna

744 total citations · 1 hit paper
24 papers, 271 citations indexed

About

Rahul Krishna is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Rahul Krishna has authored 24 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Information Systems, 9 papers in Computer Networks and Communications and 9 papers in Artificial Intelligence. Recurrent topics in Rahul Krishna's work include Software Engineering Research (15 papers), Software System Performance and Reliability (8 papers) and Software Reliability and Analysis Research (6 papers). Rahul Krishna is often cited by papers focused on Software Engineering Research (15 papers), Software System Performance and Reliability (8 papers) and Software Reliability and Analysis Research (6 papers). Rahul Krishna collaborates with scholars based in United States and India. Rahul Krishna's co-authors include Tim Menzies, Wei Fu, Baishakhi Ray, Vivek Nair, Reyhaneh Jabbarvand, Michele Merler, Vikram Nitin, Pooyan Jamshidi, Lucas Layman and Manuel Domínguez-Pumar and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and Information and Software Technology.

In The Last Decade

Rahul Krishna

21 papers receiving 264 citations

Hit Papers

Lost in Translation: A Study of Bugs Introduced by Large ... 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code
    2024 45 citations Rahul Krishna, Michele Merler et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rahul Krishna United States 9 218 154 89 88 12 24 271
Guillaume Pothier Chile 6 107 0.5× 95 0.6× 75 0.8× 91 1.0× 11 0.9× 8 204
Diego Clerissi Italy 7 155 0.7× 169 1.1× 39 0.4× 105 1.2× 9 0.8× 25 245
Aryaz Eghbali Germany 5 110 0.5× 107 0.7× 55 0.6× 40 0.5× 7 0.6× 7 190
Laurent Réveillère France 7 111 0.5× 59 0.4× 45 0.5× 131 1.5× 10 0.8× 25 208
Houari Sahraoui Canada 4 100 0.5× 44 0.3× 69 0.8× 34 0.4× 12 1.0× 6 134
Ensheng Shi China 10 186 0.9× 63 0.4× 169 1.9× 49 0.6× 8 0.7× 17 264
Yingquan Zhao China 9 247 1.1× 259 1.7× 66 0.7× 90 1.0× 4 0.3× 18 322
Thomas Gschwind Austria 9 136 0.6× 42 0.3× 117 1.3× 101 1.1× 5 0.4× 24 197
Fatiha Zaïdi France 6 128 0.6× 101 0.7× 86 1.0× 74 0.8× 6 0.5× 14 222
Alexandru Marginean United Kingdom 6 164 0.8× 192 1.2× 55 0.6× 51 0.6× 7 0.6× 7 254

Countries citing papers authored by Rahul Krishna

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Krishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Rahul Krishna. A scholar is included among the top collaborators of Rahul Krishna 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 Rahul Krishna. Rahul Krishna 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
1.
2.
Nitin, Vikram, et al.. (2025). C2SaferRust: Transforming C Projects Into Safer Rust With NeuroSymbolic Techniques. IEEE Transactions on Software Engineering. 52(2). 618–630. 1 indexed citations
3.
Krishna, Rahul, et al.. (2025). ASTER: Natural and Multi-Language Unit Test Generation with LLMs. 413–424. 3 indexed citations
4.
Krishna, Rahul, et al.. (2024). Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. 1–13. 45 indexed citations breakdown →
5.
Krishna, Rahul, et al.. (2024). Advanced machine learning models for Depression level categorization using DSM 5 and personality traits. Procedia Computer Science. 235. 2783–2792. 2 indexed citations
6.
Krishna, Rahul, et al.. (2023). An expert system for redesigning software for cloud applications. Expert Systems with Applications. 219. 119673–119673.
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8.
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Krishna, Rahul, et al.. (2022). Unicorn. 199–217. 18 indexed citations
10.
Krishna, Rahul, et al.. (2021). Lessons learned from hyper-parameter tuning for microservice candidate identification. 1141–1145. 5 indexed citations
11.
Praveena, M. D. Anto, et al.. (2021). Examining and Predicting Helpfulness of reviews based on Naive Bayes. Journal of Physics Conference Series. 1770(1). 12021–12021. 1 indexed citations
12.
Krishna, Rahul & Tim Menzies. (2020). Learning actionable analytics from multiple software projects. Empirical Software Engineering. 25(5). 3468–3500. 7 indexed citations
13.
Mary, S. Prince, et al.. (2019). Big Data Deployment for an Efficient Resource Prerequisite Job. Journal of Computational and Theoretical Nanoscience. 16(8). 3211–3215.
14.
Krishna, Rahul, et al.. (2019). A Resourceful Information Collecting System Using Smart Black Box. Journal of Computational and Theoretical Nanoscience. 16(8). 3346–3350. 2 indexed citations
15.
Fu, Wei, et al.. (2018). Applications of psychological science for actionable analytics. 456–467. 25 indexed citations
16.
Krishna, Rahul. (2017). Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects.. arXiv (Cornell University). 1 indexed citations
17.
Krishna, Rahul & Tim Menzies. (2017). Simpler Transfer Learning (Using "Bellwethers").. arXiv (Cornell University). 1 indexed citations
18.
Krishna, Rahul, Tim Menzies, & Lucas Layman. (2017). Less is more: Minimizing code reorganization using XTREE. Information and Software Technology. 88. 53–66. 11 indexed citations
19.
Chen, Jianfeng, Vivek Nair, Rahul Krishna, & Tim Menzies. (2016). Is "Sampling" better than "Evolution" for Search-based Software Engineering?. arXiv (Cornell University). 1 indexed citations
20.
Krishna, Rahul, Tim Menzies, & Wei Fu. (2016). Too much automation? the bellwether effect and its implications for transfer learning. 122–131. 37 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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