Sushil Bajracharya
- Software top 1%
- Software Testing and Debugging Techniques 5
- Information Systems top 0.5%
- Software Engineering Research 27
- Web Data Mining and Analysis 14
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- Open Source Software Innovations 5
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- Scientific Computing and Data Management 7
- Artificial Intelligence top 5%
- Advanced Software Engineering Methodologies 7
- Topic Modeling 5
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- Software System Performance and Reliability 4
- Co-authors
- Cristina Videira LopesPierre BaldiErik LinsteadJoel OssherPaul RigorOtávio Augusto Lazzarini LemosYimeng DouPaulo César Masiero
- Journals
- ACM SIGPLAN Notices (1 paper)Science of Computer Programming (1 paper)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Sushil Bajracharya
31 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 36
- Software 349
- Information Systems 1.1k
- Computer Science Applications 234
- Information Systems and Management 114
- Artificial Intelligence 421
Countries citing papers authored by Sushil Bajracharya
This map shows the geographic impact of Sushil Bajracharya'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 Sushil Bajracharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Bajracharya more than expected).
Fields of papers citing papers by Sushil Bajracharya
This network shows the impact of papers produced by Sushil Bajracharya. 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 Sushil Bajracharya. The network helps show where Sushil Bajracharya may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Sushil Bajracharya, 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 | 1 | |
| 2 | 2013 | 4 | |
| 3 | 2012 | 67 | |
| 4 | Proceedings of the 3rd International Workshop on Search-Driven Development: Users, Infrastructure, Tools, and Evaluation | 2011 | 1 |
| 5 | Proceedings of 2010 ICSE Workshop on Search-driven Development: Users, Infrastructure, Tools and Evaluation | 2010 | 3 |
| 6 | 2010 | 27 | |
| 7 | 2010 | 65 | |
| 8 | 2010 | 18 | |
| 9 | 2010 | 82 | |
| 10 | 2009 | 53 | |
| 11 | 2009 | 35 | |
| 12 | 2008 | 160 | |
| 13 | 2008 | 101 | |
| 14 | 2008 | 26 | |
| 15 | 2008 | 1 | |
| 16 | Mining Internet-Scale Software Repositories | 2007 | 22 |
| 17 | 2006 | 158 | |
| 18 | 2005 | 1 | |
| 19 | 2005 | 63 | |
| 20 | 2005 | 2 |
About Sushil Bajracharya
Sushil Bajracharya is a scholar working on Software, Information Systems, Information Systems and Management, Computer Science Applications and Artificial Intelligence, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software Engineering Research (27 papers), Web Data Mining and Analysis (14 papers), Advanced Software Engineering Methodologies (7 papers), Scientific Computing and Data Management (7 papers), Open Source Software Innovations (5 papers), Topic Modeling (5 papers), Software Testing and Debugging Techniques (5 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Software (349 citations), Information Systems (1.1k citations), Computer Science Applications (234 citations), Information Systems and Management (114 citations) and Artificial Intelligence (421 citations). Sushil Bajracharya has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Cristina Videira Lopes, Pierre Baldi, Erik Linstead, Joel Ossher, Paul Rigor, Otávio Augusto Lazzarini Lemos, Yimeng Dou, Paulo César Masiero, Cristina V. Lopes and Ricardo Morla. Their work appears in journals such as ACM SIGPLAN Notices, Science of Computer Programming, Data Mining and Knowledge Discovery, Empirical 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.