Sam Coppens

619 citations
33 papers · 507 · h-index 10

Impact in

Papers in

    • Semantic Web and Ontologies 23
    • Recommender Systems and Techniques 5
    • Library Science and Information Systems 5
    • Service-Oriented Architecture and Web Services 4
    • Research Data Management Practices 4

Sam Coppens

32 papers receiving 477 citations

Peers

Sam Coppens
Comparison fields: 5 of 43
  • Information Systems and Management 118
  • Artificial Intelligence 271
  • Information Systems 151
  • Computer Science Applications 14
  • Conservation 12
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Citations per field
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Citations per year

Countries citing papers authored by Sam Coppens

Since Specialization
Citations

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

Fields of papers citing papers by Sam Coppens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
PROV-DM: The PROV Data Model
2013184
2
Web-scale querying through linked data fragments
201460
3 201238
4
Git2PROV: exposing version control system content as W3C PROV
201338
5
Discovering meaningful connections between resources in the web of data
201331
6
R&Wbase: git for triples
201329
7 201221
8 201114
9 201112
10 201311
11
Publishing Provenance Information on the Web using the Memento Datetime Content Negotiation.
20119
12
Bringing Newsworthiness into the 21st Century.
20129
13
Everything is connected: using linked data for multimedia narration of connections between concepts
20126
14 20136
15 20114
16
Reasoning over SPARQL
20134
17
PROV-Dictionary: Modeling Provenance for Dictionary Data Structures
20144
18 20144
19 20103
20 20113

About Sam Coppens

Sam Coppens is a scholar working on Artificial Intelligence, Information Systems, Conservation, Information Systems and Management and Communication, having authored 33 papers that have together received 507 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Recommender Systems and Techniques (5 papers), Library Science and Information Systems (5 papers), Digital and Traditional Archives Management (5 papers), Service-Oriented Architecture and Web Services (4 papers), Research Data Management Practices (4 papers), Scientific Computing and Data Management (4 papers) and Access Control and Trust (3 papers). The work is most often cited by research in Information Systems and Management (118 citations), Artificial Intelligence (271 citations), Information Systems (151 citations), Computer Science Applications (14 citations) and Conservation (12 citations). Sam Coppens has collaborated with scholars based in Belgium, Spain and United States. Frequent co-authors include Rik Van De Walle B, Erik Mannens, Ruben Verborgh, Miel Vander Sande, Paul Groth, Davy Van Deursen, Pieter Colpaert, James Cheney, Timothy Lebo and Graham Klyne. Their work appears in journals such as Multimedia Tools and Applications, International Journal on Digital Libraries, Information, Lecture notes in computer science and International Journal of Virtual Reality.

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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