Sunil Vadera
Impact in
- Software top 1%
- Software Testing and Debugging Techniques
- Model-Driven Software Engineering Techniques
- Software Reliability and Analysis Research
- Artificial Intelligence top 1%
- Advanced Software Engineering Methodologies
- Logic, programming, and type systems
Papers in
-
- Imbalanced Data Classification Techniques 10
- AI-based Problem Solving and Planning 8
- Bayesian Modeling and Causal Inference 8
- Machine Learning and Data Classification 7
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- Data Mining Algorithms and Applications 6
- Software Engineering Research 4
- Co-authors
- Khaled Shaalan (3 shared papers)Said A. Salloum (3 shared papers)Tarek Gaber (3 shared papers)Farid Meziane (8 shared papers)K. A. H. Kobbacy (4 shared papers)Luis Enrique Sucar (6 shared papers)Nathan Proudlove (3 shared papers)Taha Mansouri (2 shared papers)
- Journals
- The Computer Journal (4 papers)IEEE Access (3 papers)Journal of the Operational Research Society (3 papers)Information and Software Technology (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- United KingdomMexicoEgypt
In The Last Decade
Sunil Vadera
53 papers receiving 1.5k citations
Sunil Vadera's Hit Papers
Peers
Comparison fields: 5 of 114
- Software 320
- Artificial Intelligence 855
- Computational Theory and Mathematics 333
- Information Systems 464
- Human-Computer Interaction 91
Countries citing papers authored by Sunil Vadera
This map shows the geographic impact of Sunil Vadera'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 Sunil Vadera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sunil Vadera more than expected).
Fields of papers citing papers by Sunil Vadera
This network shows the impact of papers produced by Sunil Vadera. 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 Sunil Vadera. The network helps show where Sunil Vadera may publish in the future.
Co-authors
The 21 scholars most cited alongside Sunil Vadera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Systematic software development using VDM Hit paper breakdown → | 1986 | 623 |
| 2 | 2013 | 122 | |
| 3 | 2022 | 114 | |
| 4 | 2017 | 87 | |
| 5 | 2022 | 81 | |
| 6 | 2021 | 80 | |
| 7 | 2000 | 79 | |
| 8 | 2001 | 48 | |
| 9 | 2006 | 46 | |
| 10 | 1994 | 33 | |
| 11 | 2011 | 32 | |
| 12 | 2005 | 27 | |
| 13 | 1998 | 27 | |
| 14 | 2009 | 20 | |
| 15 | A probabilistic model for sensor validation | 1996 | 16 |
| 16 | 2022 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2011 | 13 | |
| 19 | 2016 | 11 | |
| 20 | 2004 | 11 |
About Sunil Vadera
Sunil Vadera is a scholar working on Artificial Intelligence, Information Systems, Control and Systems Engineering, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (10 papers), AI-based Problem Solving and Planning (8 papers), Bayesian Modeling and Causal Inference (8 papers), Machine Learning and Data Classification (7 papers), Fault Detection and Control Systems (6 papers), Data Mining Algorithms and Applications (6 papers), Manufacturing Process and Optimization (5 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Software (320 citations), Artificial Intelligence (855 citations), Computational Theory and Mathematics (333 citations), Information Systems (464 citations) and Human-Computer Interaction (91 citations). Sunil Vadera has collaborated with scholars based in United Kingdom, Mexico and Egypt. Frequent co-authors include Khaled Shaalan, Said A. Salloum, Tarek Gaber, Farid Meziane, K. A. H. Kobbacy, Luis Enrique Sucar, Nathan Proudlove, Taha Mansouri, Vijayan Sugumaran and Zhongzhi Shi. Their work appears in journals such as The Computer Journal, IEEE Access, Journal of the Operational Research Society, Information and Software Technology and ACM Computing Surveys.
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.