David Bell
Impact in
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
- Artificial Intelligence top 0.5%
- Bayesian Modeling and Causal Inference
- Semantic Web and Ontologies
- AI-based Problem Solving and Planning
Papers in
-
- Semantic Web and Ontologies 29
- Logic, Reasoning, and Knowledge 27
- Bayesian Modeling and Causal Inference 25
- AI-based Problem Solving and Planning 21
-
- Data Mining Algorithms and Applications 24
- Co-authors
- Weiru Liu (17 shared papers)Jiao Guan (18 shared papers)Hui Wang (14 shared papers)Jonathan Kelly (1 shared paper)Russell Greiner (1 shared paper)Jie Cheng (1 shared paper)Jie Cheng (3 shared papers)John G. Hughes (20 shared papers)
- Journals
- Kybernetes (6 papers)Data & Knowledge Engineering (6 papers)The Computer Journal (5 papers)IEEE Transactions on Knowledge and Data Engineering (5 papers)Information Sciences (3 papers)
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
David Bell
182 papers receiving 3.0k citations
David Bell's Hit Papers
Peers
Comparison fields: 5 of 147
- Human-Computer Interaction 326
- Artificial Intelligence 1.7k
- Computational Theory and Mathematics 582
- Information Systems 808
- Signal Processing 323
Countries citing papers authored by David Bell
This map shows the geographic impact of David Bell'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 David Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bell more than expected).
Fields of papers citing papers by David Bell
This network shows the impact of papers produced by David Bell. 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 David Bell. The network helps show where David Bell may publish in the future.
Co-authors
The 25 scholars most cited alongside David Bell, 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 200 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Bayesian networks from data: An information-theory based approach Hit paper breakdown → | 2002 | 505 |
| 2 | 1999 | 295 | |
| 3 | 1997 | 146 | |
| 4 | 2000 | 135 | |
| 5 | 2018 | 128 | |
| 6 | Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory | 1999 | 102 |
| 7 | 1998 | 96 | |
| 8 | 2008 | 80 | |
| 9 | 2005 | 77 | |
| 10 | Proceedings of the 19th International Conference on Very Large Data Bases | 1993 | 74 |
| 11 | 2020 | 72 | |
| 12 | 1995 | 55 | |
| 13 | 2017 | 54 | |
| 14 | 1996 | 50 | |
| 15 | 1998 | 47 | |
| 16 | 2002 | 42 | |
| 17 | 1999 | 41 | |
| 18 | 2020 | 36 | |
| 19 | 1997 | 36 | |
| 20 | 2005 | 35 |
About David Bell
David Bell is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research and Computational Theory and Mathematics, having authored 200 papers that have together received 3.3k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (30 papers), Semantic Web and Ontologies (29 papers), Logic, Reasoning, and Knowledge (27 papers), Data Management and Algorithms (26 papers), Bayesian Modeling and Causal Inference (25 papers), Data Mining Algorithms and Applications (24 papers), Advanced Database Systems and Queries (23 papers) and AI-based Problem Solving and Planning (21 papers). The work is most often cited by research in Human-Computer Interaction (326 citations), Artificial Intelligence (1.7k citations), Computational Theory and Mathematics (582 citations), Information Systems (808 citations) and Signal Processing (323 citations). David Bell has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Weiru Liu, Jiao Guan, Hui Wang, Jonathan Kelly, Russell Greiner, Jie Cheng, Jie Cheng, John G. Hughes, Yoram Koren and S.P. Levine. Their work appears in journals such as Kybernetes, Data & Knowledge Engineering, The Computer Journal, IEEE Transactions on Knowledge and Data Engineering and Information Sciences.
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.