Patrick Glenisson
Impact in
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- scientometrics and bibliometrics research
- Artificial Intelligence top 10%
- Advanced Text Analysis Techniques
- Topic Modeling
Papers in
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- Biomedical Text Mining and Ontologies 5
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 2
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- Advanced Text Analysis Techniques 3
- Semantic Web and Ontologies 2
- Topic Modeling 2
- Co-authors
- Wolfgang Glänzel (4 shared papers)Bart De Moor (5 shared papers)Frizo Janssens (2 shared papers)Janick Mathys (3 shared papers)Olle Persson (2 shared papers)Yves Moreau (3 shared papers)Péter Antal (2 shared papers)Bert Coessens (2 shared papers)
- Journals
- Scientometrics (2 papers)Information Processing & Management (1 paper)Genome biology (1 paper)PubMed (1 paper)ACM SIGKDD Explorations Newsletter (1 paper)
In The Last Decade
Patrick Glenisson
10 papers receiving 282 citations
Peers
Comparison fields: 5 of 74
- Statistics, Probability and Uncertainty 50
- Artificial Intelligence 118
- Information Systems 76
- Management of Technology and Innovation 20
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Patrick Glenisson
This map shows the geographic impact of Patrick Glenisson'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 Patrick Glenisson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Glenisson more than expected).
Fields of papers citing papers by Patrick Glenisson
This network shows the impact of papers produced by Patrick Glenisson. 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 Patrick Glenisson. The network helps show where Patrick Glenisson may publish in the future.
Co-authors
The 12 scholars most cited alongside Patrick Glenisson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 104 | |
| 2 | 2004 | 48 | |
| 3 | 2005 | 47 | |
| 4 | 2002 | 38 | |
| 5 | 2003 | 24 | |
| 6 | 2007 | 18 | |
| 7 | Combining full-text analysis and bibliometric indicators | 2004 | 16 |
| 8 | Co-clustering approaches to integrate lexical and bibliographical information | 2005 | 9 |
| 9 | 2002 | 4 | |
| 10 | 2003 | 2 |
About Patrick Glenisson
Patrick Glenisson is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems, Statistics, Probability and Uncertainty and Strategy and Management, having authored 10 papers that have together received 310 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Bioinformatics and Genomic Networks (4 papers), Advanced Text Analysis Techniques (3 papers), Semantic Web and Ontologies (2 papers), scientometrics and bibliometrics research (2 papers), Gene expression and cancer classification (2 papers), Topic Modeling (2 papers) and Web visibility and informetrics (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Artificial Intelligence (118 citations), Information Systems (76 citations), Management of Technology and Innovation (20 citations) and Statistical and Nonlinear Physics (32 citations). Patrick Glenisson has collaborated with scholars based in Belgium, Sweden and Spain. Frequent co-authors include Wolfgang Glänzel, Bart De Moor, Frizo Janssens, Janick Mathys, Olle Persson, Yves Moreau, Péter Antal, Bert Coessens, Steven Van Vooren and Bart De Moor. Their work appears in journals such as Scientometrics, Information Processing & Management, Genome biology, PubMed and ACM SIGKDD Explorations Newsletter.
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.