Peter Lucas

5.8k total citations
202 papers, 2.5k citations indexed

About

Peter Lucas is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Peter Lucas has authored 202 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Artificial Intelligence, 24 papers in Molecular Biology and 15 papers in Language and Linguistics. Recurrent topics in Peter Lucas's work include Bayesian Modeling and Causal Inference (54 papers), AI-based Problem Solving and Planning (29 papers) and Logic, Reasoning, and Knowledge (21 papers). Peter Lucas is often cited by papers focused on Bayesian Modeling and Causal Inference (54 papers), AI-based Problem Solving and Planning (29 papers) and Logic, Reasoning, and Knowledge (21 papers). Peter Lucas collaborates with scholars based in Netherlands, United States and Ireland. Peter Lucas's co-authors include Arjen Hommersom, Marina Velikova, Babs G. Taal, Linda van der Gaag, Steven F. Roth, Marcel van Gerven, Kai Goebel, Stefan Visscher, Serdar Uckun and Nico Karssemeijer and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Clinical Epidemiology.

In The Last Decade

Peter Lucas

180 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Lucas Netherlands	28	1.2k	267	249	244	241	202	2.5k
Miloš Hauskrecht United States	26	1.7k 1.4×	220 0.8×	305 1.2×	196 0.8×	221 0.9×	135	2.8k
Paulo Lisböa United Kingdom	31	1.1k 0.9×	396 1.5×	289 1.2×	205 0.8×	107 0.4×	181	3.6k
David Madigan United States	24	690 0.6×	335 1.3×	180 0.7×	249 1.0×	269 1.1×	47	2.6k
S.R. Safavian United States	4	1.0k 0.9×	197 0.7×	357 1.4×	128 0.5×	150 0.6×	11	2.7k
José Neves Portugal	23	1.8k 1.6×	131 0.5×	304 1.2×	192 0.8×	687 2.9×	255	3.5k
Vili Podgorelec Slovenia	20	938 0.8×	139 0.5×	197 0.8×	158 0.6×	132 0.5×	115	2.2k
Carlo Combi Italy	22	855 0.7×	260 1.0×	179 0.7×	220 0.9×	144 0.6×	155	1.9k
Ronaldo C. Prati Brazil	17	2.7k 2.3×	217 0.8×	360 1.4×	358 1.5×	219 0.9×	67	4.4k
Alfredo Vellido Spain	23	936 0.8×	233 0.9×	231 0.9×	141 0.6×	79 0.3×	136	2.3k
Stefania Montani Italy	25	767 0.7×	294 1.1×	101 0.4×	259 1.1×	82 0.3×	112	2.0k

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-authorship network of co-authors of Peter Lucas

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Lucas. A scholar is included among the top collaborators of Peter Lucas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Lucas. Peter Lucas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Spreeuwers, Luuk, et al.. (2025). Explainable automated wild-orchid identification combining deep neural networks and Bayesian networks. Engineering Applications of Artificial Intelligence. 161. 111961–111961.

Bernasconi, Alice, Peter Lucas, Marco Scutari, et al.. (2024). From Real-World Data to Causally Interpretable Models: A Bayesian Network to Predict Cardiovascular Diseases in Adolescents and Young Adults with Breast Cancer. Cancers. 16(21). 3643–3643. 1 indexed citations

Laarman, Alfons, et al.. (2018). Parallel Probabilistic Inference by Weighted Model Counting.. Radboud Repository (Radboud University). 72. 97–108. 2 indexed citations

Hommersom, Arjen, et al.. (2017). Asymmetric hidden Markov models. International Journal of Approximate Reasoning. 88. 169–191. 10 indexed citations

Hommersom, Arjen, et al.. (2013). MoSHCA - my mobile and smart health care assistant. 188–192. 23 indexed citations

Hommersom, Arjen, et al.. (2013). Inference for a new probabilistic constraint logic. Radboud Repository (Radboud University). 2540–2546. 5 indexed citations

Lappenschaar, Martijn, Arjen Hommersom, & Peter Lucas. (2012). Qualitative Chain Graphs and their Use in Medicine. 179–186. 2 indexed citations

Groot, P. & Peter Lucas. (2012). Gaussian Process Regression with Censored Data Using Expectation Propagation. Radboud Repository (Radboud University). 115–122. 9 indexed citations

Lucas, Peter, et al.. (2012). Probabilistic Reasoning with Temporal Indeterminacy. 131–138. 1 indexed citations

10.

Lucas, Peter & Arjen Hommersom. (2010). Modelling the interactions between discrete and continuous causal factors in Bayesian networks. Radboud Repository (Radboud University). 185–192. 1 indexed citations

11.

Benazzi, Stefano, et al.. (2010). A symmetric virtual reconstruction of OH5.. American Journal of Physical Anthropology. 1 indexed citations

12.

Heskes, Tom, et al.. (2006). Noisy Threshold Functions for Modelling Causal Independence in Bayesian Networks. Data Archiving and Networked Services (DANS). 3 indexed citations

13.

Hommersom, Arjen, et al.. (2006). Checking Guideline Conformance of Medical Protocols using Modular Model Checking. Radboud Repository (Radboud University). 173–180. 1 indexed citations

14.

Heskes, Tom, Peter Lucas, L.G. Vuurpijl, & Wim Wiegerinck. (2003). BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference. Data Archiving and Networked Services (DANS). 1 indexed citations

15.

Lucas, Peter. (1996). Knowledge Acquisition for Decision-theoretic Expert Systems. Utrecht University Repository (Utrecht University). 10 indexed citations

16.

Lucas, Peter. (1996). A theory of diagnosis as hypothesis refinement. Data Archiving and Networked Services (DANS). 1 indexed citations

17.

Lucas, Peter. (1986). Knowledge representation and inference in rule-based systems. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–17. 4 indexed citations

18.

Lucas, Peter & Tore Risch. (1982). Representation of factual information by equations and their evaluation. International Conference on Software Engineering. 367–376. 6 indexed citations

19.

Lucas, Peter. (1971). Formal Definition of Programming Languages and Systems.. IFIP Congress. 291–297. 8 indexed citations

20.

Lucas, Peter. (1961). Die Strukturanalyse von Formelübersetzern.. 3. 159–167. 2 indexed citations

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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