Philippe Lenca

2.2k total citations
40 papers, 685 citations indexed

About

Philippe Lenca is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Philippe Lenca has authored 40 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Information Systems and 11 papers in Computational Theory and Mathematics. Recurrent topics in Philippe Lenca's work include Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (11 papers) and Data Management and Algorithms (6 papers). Philippe Lenca is often cited by papers focused on Data Mining Algorithms and Applications (11 papers), Rough Sets and Fuzzy Logic (11 papers) and Data Management and Algorithms (6 papers). Philippe Lenca collaborates with scholars based in France, Thailand and United States. Philippe Lenca's co-authors include Stéphane Lallich, Sofian Berrouiguet, Benoît Vaillant, Michel Walter, Romain Billot, Christophe Lemey, Patrick Meyer, Yannis Haralambous, Jordan DeVylder and Taylor C. Ryan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and European Journal of Operational Research.

In The Last Decade

Philippe Lenca

38 papers receiving 654 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Philippe Lenca 237 161 139 124 119 40 685
Sandra Bringay 270 1.1× 97 0.6× 173 1.2× 40 0.3× 82 0.7× 62 725
Ajit Narayanan 164 0.7× 34 0.2× 66 0.5× 50 0.4× 22 0.2× 98 939
Samah Fodeh 225 0.9× 75 0.5× 67 0.5× 25 0.2× 34 0.3× 43 539
Jing Mei 200 0.8× 57 0.4× 103 0.7× 19 0.2× 54 0.5× 58 434
Will Bridewell 831 3.5× 34 0.2× 109 0.8× 36 0.3× 27 0.2× 39 1.3k
Christian Skalka 208 0.9× 94 0.6× 19 0.1× 38 0.3× 44 0.4× 42 393
Paweł Matykiewicz 507 2.1× 72 0.4× 288 2.1× 8 0.1× 85 0.7× 18 820
Hong-Jie Dai 473 2.0× 42 0.3× 61 0.4× 36 0.3× 11 0.1× 65 755
Xing He 369 1.6× 35 0.2× 37 0.3× 8 0.1× 24 0.2× 46 792

Countries citing papers authored by Philippe Lenca

Since Specialization
Citations

This map shows the geographic impact of Philippe Lenca'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 Philippe Lenca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Lenca more than expected).

Fields of papers citing papers by Philippe Lenca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philippe Lenca. 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 Philippe Lenca. The network helps show where Philippe Lenca may publish in the future.

Co-authorship network of co-authors of Philippe Lenca

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Lenca. A scholar is included among the top collaborators of Philippe Lenca 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 Philippe Lenca. Philippe Lenca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim-Dufor, Deok-Hee, Michel Walter, Marie‐Odile Krebs, et al.. (2025). Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models. Frontiers in Psychiatry. 16. 1595197–1595197.
2.
Pons, Christelle, et al.. (2024). Economic analysis of digital motor rehabilitation technologies: a systematic review. Health Economics Review. 14(1). 52–52. 2 indexed citations
3.
Haralambous, Yannis & Philippe Lenca. (2023). Beyond the Semantic Web: Towards an Implicit Pragmatic Web and a Web of Social Representations. Future Internet. 15(7). 239–239. 1 indexed citations
4.
Glaz, Aziliz Le, Yannis Haralambous, Deok-Hee Kim-Dufor, et al.. (2020). Machine Learning and Natural Language Processing in Mental Health: Systematic Review. Journal of Medical Internet Research. 23(5). e15708–e15708. 300 indexed citations
5.
Lemey, Christophe, Mark Larsen, Jordan DeVylder, et al.. (2018). Clinicians’ Concerns About Mobile Ecological Momentary Assessment Tools Designed for Emerging Psychiatric Problems: Prospective Acceptability Assessment of the MEmind App. Journal of Medical Internet Research. 21(4). e10111–e10111. 9 indexed citations
6.
Berrouiguet, Sofian, Mark Larsen, Romain Billot, et al.. (2018). Toward mHealth Brief Contact Interventions in Suicide Prevention: Case Series From the Suicide Intervention Assisted by Messages (SIAM) Randomized Controlled Trial. JMIR mhealth and uhealth. 6(1). e8–e8. 23 indexed citations
7.
Berrouiguet, Sofian, Romain Billot, Mark Larsen, et al.. (2018). An Approach for Data Mining of Electronic Health Record Data for Suicide Risk Management: Database Analysis for Clinical Decision Support. JMIR Mental Health. 6(5). e9766–e9766. 12 indexed citations
8.
Berrouiguet, Sofian, et al.. (2018). Prévention du suicide et santé connectée. médecine/sciences. 34(8-9). 730–734. 5 indexed citations
9.
Berrouiguet, Sofian, María Luisa Barrigón, Sara A. Brandt, et al.. (2017). Ecological Assessment of Clinicians’ Antipsychotic Prescription Habits in Psychiatric Inpatients: A Novel Web- and Mobile Phone–Based Prototype for a Dynamic Clinical Decision Support System. Journal of Medical Internet Research. 19(1). e25–e25. 14 indexed citations
10.
11.
Lenca, Philippe, et al.. (2016). Mining High Utility Itemsets with Regular Occurrence. SHILAP Revista de lepidopterología. 10(2). 153–176. 6 indexed citations
12.
Lenca, Philippe, et al.. (2015). Activity Monitoring Process based on Model-Driven Engineering – Application to Ambient Assisted Living. SHILAP Revista de lepidopterología. 24(3). 371–382. 1 indexed citations
13.
Lenca, Philippe, et al.. (2015). Mining top-k Regular Episodes from Sensor Streams. Procedia Computer Science. 69. 76–85. 4 indexed citations
14.
Lenca, Philippe, et al.. (2012). Mining top-k regular-frequent itemsets using database partitioning and support estimation. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
15.
Theeramunkong, Thanaruk, Cholwich Nattee, Paulo J. L. Adeodato, et al.. (2010). New frontiers in applied data mining : PAKDD 2009 International Workshops, Bangkok, Thailand, April 27 - 30, 2009 : revised selected papers. Springer eBooks. 3 indexed citations
16.
Lenca, Philippe, Stéphane Lallich, & Benoît Vaillant. (2010). Construction of an off-centered entropy for the supervised learning of imbalanced classes: some first results. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
17.
Stolojescu-Crișan, Cristina, et al.. (2010). WIMAX traffic forecasting based on neural networks in wavelet domain. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
18.
Lenca, Philippe, Stéphane Lallich, & Benoît Vaillant. (2010). Construction of an Off-Centered Entropy for the Supervised Learning of Imbalanced Classes: Some First Results. Communication in Statistics- Theory and Methods. 39(3). 493–507. 6 indexed citations
19.
Do, Thanh‐Nghi, et al.. (2008). Using Local Node Information in Decision Trees: Coupling a Local Labeling Rule with an Off-centered Entropy.. 117–123. 3 indexed citations
20.
Lenca, Philippe, et al.. (1999). Dynamic adaptation of rules bases under cognitive constraints. HAL (Le Centre pour la Communication Scientifique Directe). 1 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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