Rangeet Pan
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Information Systems top 10%
- Software Engineering Research
Papers in
-
- Software Engineering Research 7
-
- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 2
- Machine Learning and Data Classification 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Hridesh Rajan (5 shared papers)Giang V. Nguyen (2 shared papers)Rahul Krishna (3 shared papers)Michele Merler (1 shared paper)Reyhaneh Jabbarvand (1 shared paper)Shuvendu K. Lahiri (1 shared paper)Sumit Gulwani (1 shared paper)Vu Le (1 shared paper)
- Journals
- Iowa State University Digital Repository (Iowa State University) (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Rangeet Pan
10 papers receiving 212 citations
Rangeet Pan's Hit Papers
Peers
Comparison fields: 5 of 26
- Software 93
- Information Systems 104
- Artificial Intelligence 124
- Signal Processing 26
- Information Systems and Management 15
Countries citing papers authored by Rangeet Pan
This map shows the geographic impact of Rangeet Pan'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 Rangeet Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rangeet Pan more than expected).
Fields of papers citing papers by Rangeet Pan
This network shows the impact of papers produced by Rangeet Pan. 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 Rangeet Pan. The network helps show where Rangeet Pan may publish in the future.
Co-authors
The 11 scholars most cited alongside Rangeet Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code Hit paper breakdown → | 2024 | 52 |
| 3 | 2020 | 21 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2023 | 7 | |
| 8 | 2019 | 4 | |
| 9 | 2025 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2025 | 0 |
About Rangeet Pan
Rangeet Pan is a scholar working on Information Systems, Artificial Intelligence, Software, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 11 papers that have together received 213 indexed citations. Recurring topics across this work include Software Engineering Research (7 papers), Adversarial Robustness in Machine Learning (6 papers), Software Testing and Debugging Techniques (4 papers), Software Reliability and Analysis Research (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Machine Learning and Data Classification (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Software (93 citations), Information Systems (104 citations), Artificial Intelligence (124 citations), Signal Processing (26 citations) and Information Systems and Management (15 citations). Rangeet Pan has collaborated with scholars based in United States and India. Frequent co-authors include Hridesh Rajan, Giang V. Nguyen, Rahul Krishna, Michele Merler, Reyhaneh Jabbarvand, Shuvendu K. Lahiri, Sumit Gulwani, Vu Le, Nachiappan Nagappan and Saurabh Sinha. Their work appears in journals such as Iowa State University Digital Repository (Iowa State University).
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.