Philippe Lenca
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
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- Data Mining Algorithms and Applications 39
- Data Mining and Machine Learning Applications 6
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- AI-based Problem Solving and Planning 4
- Co-authors
- Stéphane Lallich (28 shared papers)Benoît Vaillant (18 shared papers)Patrick E. Meyer (6 shared papers)Sofian Berrouiguet (9 shared papers)Romain Billot (8 shared papers)Michel Walter (8 shared papers)Christophe Lemey (4 shared papers)Yannis Haralambous (5 shared papers)
In The Last Decade
Philippe Lenca
101 papers receiving 1.8k citations
Philippe Lenca's Hit Papers
Peers
Comparison fields: 5 of 129
- Health Informatics 71
- Information Systems 669
- Applied Psychology 65
- Artificial Intelligence 353
- Health Information Management 77
Countries citing papers authored by Philippe Lenca
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
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-authors
The 25 scholars most cited alongside Philippe Lenca, 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 104 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Machine Learning and Natural Language Processing in Mental Health: Systematic Review Hit paper breakdown → | 2020 | 366 |
| 2 | Proceedings of the 2010 International Conference on Data Mining | 2010 | 198 |
| 3 | 2007 | 154 | |
| 4 | 2007 | 153 | |
| 5 | 2009 | 65 | |
| 6 | 2007 | 63 | |
| 7 | 2004 | 60 | |
| 8 | 2017 | 48 | |
| 9 | 2010 | 46 | |
| 10 | 2020 | 43 | |
| 11 | 2010 | 30 | |
| 12 | 2018 | 29 | |
| 13 | 2008 | 27 | |
| 14 | 2015 | 25 | |
| 15 | 2014 | 24 | |
| 16 | 2015 | 21 | |
| 17 | 2016 | 21 | |
| 18 | 2021 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 2018 | 17 |
About Philippe Lenca
Philippe Lenca is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Management Information Systems and Health Information Management, having authored 104 papers that have together received 1.8k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (39 papers), Multi-Criteria Decision Making (10 papers), Decision Support System Applications (7 papers), Data Mining and Machine Learning Applications (6 papers), Complex Network Analysis Techniques (5 papers), AI-based Problem Solving and Planning (4 papers), Suicide and Self-Harm Studies (4 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Health Informatics (71 citations), Information Systems (669 citations), Applied Psychology (65 citations), Artificial Intelligence (353 citations) and Health Information Management (77 citations). Philippe Lenca has collaborated with scholars based in France, Thailand and Spain. Frequent co-authors include Stéphane Lallich, Benoît Vaillant, Patrick E. Meyer, Sofian Berrouiguet, Romain Billot, Michel Walter, Christophe Lemey, Yannis Haralambous, Jordan DeVylder and Jonathan J. Marsh. Their work appears in journals such as European Journal of Operational Research, Journal of Medical Internet Research, Expert Systems with Applications, Lecture notes in computer science and JMIR Mental Health.
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.