Cédric Pruski
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
- Natural Language Processing Techniques
Papers in
-
- Semantic Web and Ontologies 35
- Natural Language Processing Techniques 6
- Topic Modeling 5
-
- Biomedical Text Mining and Ontologies 34
- Co-authors
- Marcos Da Silveira (45 shared papers)Júlio Cesar dos Reis (9 shared papers)Erhard Rahm (9 shared papers)Anika Groß (8 shared papers)Ernesto Expósito (2 shared papers)Annette ten Teije (9 shared papers)Khalil Drira (2 shared papers)Frank van Harmelen (9 shared papers)
- Journals
- Journal of Biomedical Informatics (3 papers)Journal of Biomedical Semantics (2 papers)Artificial Intelligence in Medicine (2 papers)Lecture notes in computer science (14 papers)AI & Society (1 paper)
- Partner nations
- LuxembourgFranceGermany
In The Last Decade
Cédric Pruski
54 papers receiving 483 citations
Peers
Comparison fields: 5 of 72
- Health Information Management 40
- Artificial Intelligence 303
- Issues, ethics and legal aspects 6
- Information Systems 117
- Management Science and Operations Research 63
Countries citing papers authored by Cédric Pruski
This map shows the geographic impact of Cédric Pruski'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 Cédric Pruski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cédric Pruski more than expected).
Fields of papers citing papers by Cédric Pruski
This network shows the impact of papers produced by Cédric Pruski. 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 Cédric Pruski. The network helps show where Cédric Pruski may publish in the future.
Co-authors
The 25 scholars most cited alongside Cédric Pruski, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 79 | |
| 2 | 2013 | 33 | |
| 3 | 2017 | 29 | |
| 4 | 2016 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2013 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2014 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2014 | 16 | |
| 12 | 2015 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2014 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2010 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2017 | 8 |
About Cédric Pruski
Cédric Pruski is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Public Health, Environmental and Occupational Health and Computer Networks and Communications, having authored 63 papers that have together received 506 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (35 papers), Biomedical Text Mining and Ontologies (34 papers), Clinical practice guidelines implementation (11 papers), Service-Oriented Architecture and Web Services (7 papers), Natural Language Processing Techniques (6 papers), Advanced Database Systems and Queries (5 papers), Data Quality and Management (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Information Management (40 citations), Artificial Intelligence (303 citations), Issues, ethics and legal aspects (6 citations), Information Systems (117 citations) and Management Science and Operations Research (63 citations). Cédric Pruski has collaborated with scholars based in Luxembourg, France and Germany. Frequent co-authors include Marcos Da Silveira, Júlio Cesar dos Reis, Erhard Rahm, Anika Groß, Ernesto Expósito, Annette ten Teije, Khalil Drira, Frank van Harmelen, Nicolas Guelfi and Rinke Hoekstra. Their work appears in journals such as Journal of Biomedical Informatics, Journal of Biomedical Semantics, Artificial Intelligence in Medicine, Lecture notes in computer science and AI & Society.
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.