Peter Spyns

1.4k citations
71 papers · 1.1k · h-index 16

Impact in

Papers in

Peter Spyns

70 papers receiving 990 citations

Peers

Peter Spyns
Comparison fields: 5 of 83
  • Artificial Intelligence 883
  • Information Systems 459
  • Management Information Systems 161
  • Medical Terminology 2
  • Computer Networks and Communications 186
Replace Luc Schneider with:
Luc Schneider Germany
Olivier Corby France
João P. Martins Portugal
Hyoil Han United States
C. Maria Keet South Africa
GertJan van Heijst Netherlands
D.A. Fensel Netherlands
Marco Rospocher Italy
Matteo Palmonari Italy
Robert M. MacGregor United States
Peter Spyns relative to Luc Schneider Germany Luc Schneider's profile →
Citations per field
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Citations per year

Countries citing papers authored by Peter Spyns

Since Specialization
Citations

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

Fields of papers citing papers by Peter Spyns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Spyns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Spyns Line = papers co-authored together Peter Spyns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002279
2 1996125
3 200865
4
Methods for Ontology Evaluation.
200565
5 200258
6
Discovering Knowledge in Texts for the learning of DOGMA-inspired ontologies
200439
7 200438
8
Unsupervised Text Mining for the learning of DOGMA-inspired Ontologies
200533
9 200530
10 200623
11 201322
12 200320
13 200319
14 200619
15 200517
16 201315
17 199715
18 199810
19 199410
20
From knowledge to Interaction: from the Semantic to the Pragmatic Web.
20039

About Peter Spyns

Peter Spyns is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Management Information Systems, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (44 papers), Natural Language Processing Techniques (26 papers), Service-Oriented Architecture and Web Services (16 papers), Advanced Database Systems and Queries (15 papers), Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (9 papers), Business Process Modeling and Analysis (6 papers) and linguistics and terminology studies (6 papers). The work is most often cited by research in Artificial Intelligence (883 citations), Information Systems (459 citations), Management Information Systems (161 citations), Medical Terminology (2 citations) and Computer Networks and Communications (186 citations). Peter Spyns has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Robert Meersman, Mustafa Jarrar, Yan Tang, Jan Odijk, York Sure, Walter Daelemans, Georges De Moor, Daniel Oberle, Werner Ceusters and Jens Hartmann. Their work appears in journals such as Language Resources and Evaluation, Lecture notes in computer science, International Journal of Medical Informatics, ACM SIGMOD Record and Methods of Information in Medicine.

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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