Peter Lucas

5.8k citations
202 papers · 2.5k · h-index 28

Impact in

    • Artificial Intelligence in Healthcare
    • 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 54
    • AI-based Problem Solving and Planning 29
    • Logic, Reasoning, and Knowledge 21
    • Semantic Web and Ontologies 20
    • Machine Learning in Healthcare 14
    • Biomedical Text Mining and Ontologies 17

Peter Lucas

180 papers receiving 2.2k citations

Peers

Peter Lucas
Comparison fields: 5 of 182
  • Health Information Management 244
  • Artificial Intelligence 1.2k
  • Software 97
  • Signal Processing 178
  • Medical Laboratory Technology 24
Replace Usman Qamar with:
Usman Qamar Pakistan
Vili Podgorelec Slovenia
Ronaldo C. Prati Brazil
Yuval Shaḥar Israel
S.R. Safavian United States
Victoria López Spain
Maria Carolina Monard Brazil
Marek J. Drużdżel United States
Joaquin Vanschoren Netherlands
Yanmin Sun Canada
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Citations per field
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Citations per year

Countries citing papers authored by Peter Lucas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Peter Lucas Line = papers co-authored together Peter Lucas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969101
2 200893
3
Principles of Expert Systems
199191
4 200874
5 201371
6 200068
7 200666
8 200265
9 199761
10 200458
11 201658
12 201352
13
Computer-based Medical Guidelines and Protocols: A Primer and Current Trends
200850
14 198149
15 200143
16 200742
17 200940
18 199340
19 199838
20 201936

About Peter Lucas

Peter Lucas is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Epidemiology and Computer Networks and Communications, having authored 202 papers that have together received 2.5k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (54 papers), AI-based Problem Solving and Planning (29 papers), Logic, Reasoning, and Knowledge (21 papers), Semantic Web and Ontologies (20 papers), Biomedical Text Mining and Ontologies (17 papers), Machine Learning in Healthcare (14 papers), Clinical practice guidelines implementation (12 papers) and Linguistics and language evolution (10 papers). The work is most often cited by research in Health Information Management (244 citations), Artificial Intelligence (1.2k citations), Software (97 citations), Signal Processing (178 citations) and Medical Laboratory Technology (24 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, Marcel van Gerven, Steven F. Roth, Kai Goebel, Serdar Uckun, Stefan Visscher and Maurice Samulski. Their work appears in journals such as Artificial Intelligence in Medicine, International Journal of Approximate Reasoning, Notes and Queries, Journal of Biomedical Informatics and Knowledge-Based Systems.

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.

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