Peter Lucas
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 1%
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Machine Learning in Healthcare
- Semantic Web and Ontologies
- Logic, Reasoning, and Knowledge
Papers in
-
- Bayesian Modeling and Causal Inference 49
- AI-based Problem Solving and Planning 28
- Logic, Reasoning, and Knowledge 20
- Semantic Web and Ontologies 19
- Machine Learning in Healthcare 11
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- Biomedical Text Mining and Ontologies 14
- Co-authors
- Arjen Hommersom (36 shared papers)Marina Velikova (14 shared papers)Babs G. Taal (5 shared papers)Linda van der Gaag (1 shared paper)Maarten van der Heijden (10 shared papers)Marcel van Gerven (5 shared papers)Steven F. Roth (6 shared papers)Kai Goebel (1 shared paper)
- Journals
- Artificial Intelligence in Medicine (16 papers)International Journal of Approximate Reasoning (8 papers)Notes and Queries (7 papers)Journal of Biomedical Informatics (6 papers)Archives of Natural History (4 papers)
- Partner nations
- NetherlandsUnited StatesIreland
In The Last Decade
Peter Lucas
180 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 180
- Health Information Management 198
- Artificial Intelligence 1.1k
- Software 93
- Medical Laboratory Technology 23
- Signal Processing 173
Countries citing papers authored by Peter Lucas
This map shows the geographic impact of Peter Lucas'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 Peter Lucas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lucas more than expected).
Fields of papers citing papers by Peter Lucas
This network shows the impact of papers produced by Peter Lucas. 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 Peter Lucas. The network helps show where Peter Lucas may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Lucas, 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 202 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1969 | 101 | |
| 2 | 2008 | 93 | |
| 3 | Principles of Expert Systems | 1991 | 93 |
| 4 | 2008 | 76 | |
| 5 | 2013 | 71 | |
| 6 | 2000 | 68 | |
| 7 | 2006 | 66 | |
| 8 | 2002 | 65 | |
| 9 | 1997 | 61 | |
| 10 | 2016 | 60 | |
| 11 | 2004 | 59 | |
| 12 | 2013 | 53 | |
| 13 | Computer-based Medical Guidelines and Protocols: A Primer and Current Trends | 2008 | 50 |
| 14 | 1981 | 49 | |
| 15 | 2001 | 43 | |
| 16 | 2007 | 42 | |
| 17 | 2009 | 40 | |
| 18 | 1993 | 40 | |
| 19 | 2013 | 39 | |
| 20 | 2019 | 38 |
About Peter Lucas
Peter Lucas is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 202 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (49 papers), AI-based Problem Solving and Planning (28 papers), Logic, Reasoning, and Knowledge (20 papers), Semantic Web and Ontologies (19 papers), Biomedical Text Mining and Ontologies (14 papers), Clinical practice guidelines implementation (12 papers), Machine Learning in Healthcare (11 papers) and Linguistics and language evolution (10 papers). The work is most often cited by research in Health Information Management (198 citations), Artificial Intelligence (1.1k citations), Software (93 citations), Medical Laboratory Technology (23 citations) and Signal Processing (173 citations). Peter Lucas has collaborated with scholars based in Netherlands, United States and Ireland. Frequent co-authors include Arjen Hommersom, Marina Velikova, Babs G. Taal, Linda van der Gaag, Maarten van der Heijden, Marcel van Gerven, Steven F. Roth, Kai Goebel, Stefan Visscher and Serdar Uckun. Their work appears in journals such as Artificial Intelligence in Medicine, International Journal of Approximate Reasoning, Notes and Queries, Journal of Biomedical Informatics and Archives of Natural History.
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.