Sunil Vadera
- Software top 1%
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques 10
- AI-based Problem Solving and Planning 8
- Bayesian Modeling and Causal Inference 8
- Machine Learning and Data Classification 7
- Information Systems top 2%
- Data Mining Algorithms and Applications 6
- Software Engineering Research 4
- Human-Computer Interaction top 5%
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- Fault Detection and Control Systems 6
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- Manufacturing Process and Optimization 5
- Co-authors
- Farid MezianeSaid A. SalloumTarek GaberKhaled ShaalanK. A. H. KobbacyLuis Enrique SucarNathan ProudloveTaha Mansouri
- Journals
- The Computer Journal (4 papers)IEEE Access (3 papers)Journal of the Operational Research Society (3 papers)
- Partner nations
- United KingdomMexicoEgypt
In The Last Decade
Sunil Vadera
53 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Software 320
- Artificial Intelligence 847
- Computational Theory and Mathematics 334
- Information Systems 449
- Human-Computer Interaction 89
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-authorship network
The 23 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 9 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 2 | |
| 8 | Intelligent information processing VIII : 9th IFIP TC 12 International Conference, IIP 2016, Melbourne, VIC, Australia, November 18-21, 2016, Proceedings | 2016 | 4 |
| 9 | 2016 | 7 | |
| 10 | 2013 | 6 | |
| 11 | 2011 | 31 | |
| 12 | 2010 | 3 | |
| 13 | 2009 | 20 | |
| 14 | 2007 | 3 | |
| 15 | 2006 | 41 | |
| 16 | European Conference on Intelligent Management Systems in Operations | 2004 | 3 |
| 17 | PEBM: A Probabilistic Exemplar Based Model | 1999 | 2 |
| 18 | Machine Learning in LacePro Multi-Functional Framework | 1997 | 0 |
| 19 | 1997 | 2 | |
| 20 | A probabilistic model for sensor validation | 1996 | 16 |
About Sunil Vadera
Sunil Vadera is a scholar working on Artificial Intelligence, Information Systems and Medical Laboratory Technology, 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 (847 citations) and Computational Theory and Mathematics (334 citations). Sunil Vadera has collaborated with scholars based in United Kingdom, Mexico and Egypt. Frequent co-authors include Farid Meziane, Said A. Salloum, Tarek Gaber, Khaled Shaalan, K. A. H. Kobbacy, Luis Enrique Sucar, Nathan Proudlove, Taha Mansouri, Mohamad Saraee and Vijayan Sugumaran. Their work appears in journals such as The Computer Journal, IEEE Access, Journal of the Operational Research Society, Health Education and Signal Processing Image Communication.
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.