Cédric Pruski

767 total citations
44 papers, 321 citations indexed

About

Cédric Pruski is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Cédric Pruski has authored 44 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Artificial Intelligence, 24 papers in Molecular Biology and 12 papers in Information Systems. Recurrent topics in Cédric Pruski's work include Semantic Web and Ontologies (27 papers), Biomedical Text Mining and Ontologies (24 papers) and Service-Oriented Architecture and Web Services (6 papers). Cédric Pruski is often cited by papers focused on Semantic Web and Ontologies (27 papers), Biomedical Text Mining and Ontologies (24 papers) and Service-Oriented Architecture and Web Services (6 papers). Cédric Pruski collaborates with scholars based in Luxembourg, France and United States. Cédric Pruski's co-authors include Marcos Da Silveira, Júlio Cesar dos Reis, Ernesto Expósito, Khalil Drira, Erhard Rahm, Anika Groß, Annette ten Teije, Nicolas Guelfi, Frank van Harmelen and Jean-Sébastien Sottet and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Future Generation Computer Systems.

In The Last Decade

Cédric Pruski

40 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cédric Pruski Luxembourg 10 208 122 75 57 39 44 321
Marcos Da Silveira Luxembourg 8 160 0.8× 90 0.7× 54 0.7× 51 0.9× 31 0.8× 41 260
Gianluca Correndo United Kingdom 8 146 0.7× 76 0.6× 56 0.7× 32 0.6× 49 1.3× 32 231
Kathrin Dentler Netherlands 8 122 0.6× 64 0.5× 55 0.7× 38 0.7× 29 0.7× 11 207
Nelia Lasierra Spain 9 91 0.4× 54 0.4× 49 0.7× 22 0.4× 29 0.7× 20 241
Stefan Schulz Germany 13 475 2.3× 400 3.3× 71 0.9× 48 0.8× 26 0.7× 66 595
Juan Fernández-Olivares Spain 10 179 0.9× 30 0.2× 47 0.6× 24 0.4× 64 1.6× 34 291
Thomas Aden Germany 5 86 0.4× 63 0.5× 68 0.9× 64 1.1× 43 1.1× 6 251
Jens H. Weber-Jahnke Canada 10 135 0.6× 41 0.3× 79 1.1× 30 0.5× 33 0.8× 38 290
Duygu Çelik Ertuğrul Türkiye 10 124 0.6× 26 0.2× 102 1.4× 17 0.3× 34 0.9× 36 238
Sonja Zillner Germany 10 137 0.7× 82 0.7× 26 0.3× 31 0.5× 20 0.5× 42 268

Countries citing papers authored by Cédric Pruski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Cédric Pruski

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Pruski. A scholar is included among the top collaborators of Cédric Pruski 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 Cédric Pruski. Cédric Pruski 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.
Silveira, Marcos Da, et al.. (2025). Evaluating ESCO skill classifiers. Statistical Journal of the IAOS. 41(4). 1038–1057.
2.
Pruski, Cédric, et al.. (2025). Semantic drift evaluation in language and data-specific digital twin frameworks. Future Generation Computer Systems. 177. 108240–108240.
3.
Pruski, Cédric, et al.. (2025). Explainable AI, LLM, and digitized archival cultural heritage: a case study of the Grand Ducal Archive of the Medici. AI & Society. 40(6). 4561–4573. 4 indexed citations
4.
Pruski, Cédric, et al.. (2024). Understanding Semantic Drift in Model Driven Digital Twins. 419–430.
5.
Silveira, Marcos Da, et al.. (2024). A knowledge-sharing platform for space resources. Data & Knowledge Engineering. 151. 102286–102286. 1 indexed citations
6.
Silveira, Marcos Da, et al.. (2023). Analysis and implementation of the DynDiff tool when comparing versions of ontology. Journal of Biomedical Semantics. 14(1). 15–15. 2 indexed citations
7.
Sottet, Jean-Sébastien & Cédric Pruski. (2023). Data and Model Harmonization Research Challenges in a Nation Wide Digital Twin. Systems. 11(2). 99–99. 9 indexed citations
8.
Pruski, Cédric, et al.. (2018). Supporting biomedical ontology evolution by identifying outdated concepts and the required type of change. Journal of Biomedical Informatics. 87. 1–11. 7 indexed citations
9.
Pruski, Cédric, Júlio Cesar dos Reis, & Marcos Da Silveira. (2016). Capturing the Relationship between Evolving Biomedical Concepts via Background Knowledge.. 2 indexed citations
10.
Groß, Anika, Cédric Pruski, & Erhard Rahm. (2016). Evolution of biomedical ontologies and mappings: Overview of recent approaches. Computational and Structural Biotechnology Journal. 14. 333–340. 26 indexed citations
11.
Santos, Cristiana, Cédric Pruski, Marcos Da Silveira, et al.. (2016). Complaint Ontology Pattern - COP. Open Repository and Bibliography (University of Luxembourg). 69–83. 1 indexed citations
12.
Pruski, Cédric, et al.. (2015). DyKOSMap: A framework for mapping adaptation between biomedical knowledge organization systems. Journal of Biomedical Informatics. 55. 153–173. 9 indexed citations
13.
Reis, Júlio Cesar dos, Cédric Pruski, & Marcos Da Silveira. (2015). Management of Dynamic Biomedical Terminologies: Current Status and Future Challenges. Yearbook of Medical Informatics. 24(1). 125–133. 4 indexed citations
14.
Pruski, Cédric, et al.. (2014). Identifying relevant concept attributes to support mapping maintenance under ontology evolution. Journal of Web Semantics. 29. 53–66. 16 indexed citations
15.
Silveira, Marcos Da, et al.. (2014). Recognizing lexical and semantic change patterns in evolving life science ontologies to inform mapping adaptation. Artificial Intelligence in Medicine. 63(3). 153–170. 6 indexed citations
16.
Reis, J. C. dos, et al.. (2014). Identifying change patterns of concept attributes in ontology evolution. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Abacha, Asma Ben, Marcos Da Silveira, & Cédric Pruski. (2013). Une approche pour la validation du contenu d'une ontologie par un système à base de questions/réponses. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
18.
Reis, Júlio Cesar dos, et al.. (2013). Understanding semantic mapping evolution by observing changes in biomedical ontologies. Journal of Biomedical Informatics. 47. 71–82. 26 indexed citations
19.
Guelfi, Nicolas & Cédric Pruski. (2006). On the Use of Ontologies for an Optimal Representation and Exploration of the Web. Journal of Digital Information Management. 4(3). 159–168. 3 indexed citations
20.
Guelfi, Nicolas, et al.. (2004). A Study of Mobile Internet Technologies for Secure e-commerce Applications Development. Open Repository and Bibliography (University of Luxembourg). 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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2026