Jan Wielemaker

2.8k citations
53 papers · 1.0k · h-index 16

Impact in

Papers in

    • Semantic Web and Ontologies 28
    • Logic, programming, and type systems 10
    • Natural Language Processing Techniques 5
    • Logic, Reasoning, and Knowledge 5
    • Library Science and Information Systems 4

Jan Wielemaker

49 papers receiving 883 citations

Peers

Jan Wielemaker
Comparison fields: 5 of 93
  • Artificial Intelligence 661
  • Computer Vision and Pattern Recognition 303
  • Software 50
  • Information Systems 289
  • Signal Processing 107
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Citations per field
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Citations per year

Countries citing papers authored by Jan Wielemaker

Since Specialization
Citations

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

Fields of papers citing papers by Jan Wielemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jan Wielemaker, 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 Jan Wielemaker Line = papers co-authored together Jan Wielemaker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011179
2 2001160
3
Semantic Annotation of Image Collections
2003106
4 200882
5
An Overview of the SWI-Prolog Programming Environment.
200369
6 200161
7
Processing OWL2 ontologies using thea: an application of logic programming
200930
8 200830
9 201728
10
Adding Spatial Semantics to Image Annotations
200426
11 201320
12
Prolog-based infrastructure for RDF: performance and scalability
200318
13
Searching and Annotating Virtual Heritage Collections with Semantic-Web Techniques
200717
14 202216
15 201615
16
Logic programming for knowledge-intensive interactive applications
200915
17 201814
18
Using Prolog as the Fundament for Applications on the Semantic Web
200713
19
Brokering Problem-Solving Knowledge at the Internet.
199913
20 201013

About Jan Wielemaker

Jan Wielemaker is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Software, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (28 papers), Logic, programming, and type systems (10 papers), Advanced Database Systems and Queries (6 papers), Biomedical Text Mining and Ontologies (6 papers), Natural Language Processing Techniques (5 papers), Logic, Reasoning, and Knowledge (5 papers), Image Retrieval and Classification Techniques (5 papers) and Library Science and Information Systems (4 papers). The work is most often cited by research in Artificial Intelligence (661 citations), Computer Vision and Pattern Recognition (303 citations), Software (50 citations), Information Systems (289 citations) and Signal Processing (107 citations). Jan Wielemaker has collaborated with scholars based in Netherlands, Italy and United Kingdom. Frequent co-authors include A.T. Schreiber, Bob Wielinga, Tom Schrijvers, Torbjörn Lager, Markus Triska, Laura Hollink, Jacco van Ossenbruggen, Guus Schreiber, Michiel Hildebrand and Jacobijn Sandberg. Their work appears in journals such as Theory and Practice of Logic Programming, Semantic Web, IEEE Intelligent Systems, Data Intelligence and Journal of Web Semantics.

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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