Rahul Krishna
- Information Systems top 5%
- Software top 5%
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Computer Science Applications
- Co-authors
- Tim MenziesWei FuBaishakhi RayVivek NairReyhaneh JabbarvandMichele MerlerVikram NitinPooyan Jamshidi
- Topics
- Software Engineering Research (15 papers)Software System Performance and Reliability (8 papers)Software Reliability and Analysis Research (6 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Software EngineeringInformation and Software Technology
- Partner nations
- United StatesIndia
In The Last Decade
Rahul Krishna
21 papers receiving 264 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Information Systems 218
- Software 154
- Artificial Intelligence 89
- Computer Networks and Communications 88
- Computer Science Applications 12
Countries citing papers authored by Rahul Krishna
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Codebreakdown → | 45 |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 18 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | Don't Tell Me What Is, Tell Me What Ought To Be! Learning Effective Changes for Software Projects. | 1 |
| 17 | Simpler Transfer Learning (Using "Bellwethers"). | 1 |
| 18 | 11 | |
| 19 | Is "Sampling" better than "Evolution" for Search-based Software Engineering? | 1 |
| 20 | 37 |
About Rahul Krishna
Rahul Krishna is a scholar working on Software, Information Systems and Computer Networks and Communications, having authored 24 papers that have together received 271 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Software System Performance and Reliability (8 papers) and Software Reliability and Analysis Research (6 papers). The work is most often cited by research in Software (154 citations), Information Systems (218 citations) and Computer Networks and Communications (88 citations). Rahul Krishna has collaborated with scholars based in United States and India. Frequent 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. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Software Engineering and Information and Software Technology.
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.