Ruben Taelman

22 papers receiving 96 citations

Peers

Ruben Taelman
Comparison fields: 5 of 34
  • Artificial Intelligence 72
  • Information Systems 36
  • Computer Networks and Communications 31
  • Information Systems and Management 27
  • Management Science and Operations Research 20
Replace Yannis Marketakis with:
Yannis Marketakis Greece
Kheir Eddine Farfar Germany
Theodore Patkos Greece
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Citations per field
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Citations per year

Countries citing papers authored by Ruben Taelman

Since Specialization
Citations

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

Fields of papers citing papers by Ruben Taelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruben Taelman

This figure shows the co-authorship network connecting the top 25 collaborators of Ruben Taelman. A scholar is included among the top collaborators of Ruben Taelman 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 Ruben Taelman. Ruben Taelman 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
#WorkIndexed citations
1 0
2 1
3 7
4 2
5 10
6 13
7 4
8 4
9
Optimizing approximate membership metadata in triple pattern fragments for clients and servers
1
10
GraphQL-LD : linked data querying with GraphQL
20
11 4
12 3
13
The fundamentals of semantic versioned querying
1
14 4
15 9
16
Describing configurations of software experiments as Linked Data
4
17 2
18
Versioned Triple Pattern Fragments: A Low-cost Linked Data Interface Feature for Web Archives.
6
19
Linked sensor data generation using queryable RML mappings
1
20
Multidimensional Interfaces for Selecting Data within Ordinal Ranges.
2

About Ruben Taelman

Ruben Taelman is a scholar working on Information Systems and Management, Artificial Intelligence and Signal Processing, having authored 24 papers that have together received 104 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Advanced Database Systems and Queries (7 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Information Systems and Management (27 citations), Artificial Intelligence (72 citations) and Management Science and Operations Research (20 citations). Ruben Taelman has collaborated with scholars based in Belgium, Germany and Netherlands. Frequent co-authors include Ruben Verborgh, Miel Vander Sande, Erik Mannens, Joachim Van Herwegen, Pieter Colpaert, Marlies Van der Wee, Didier Colle, Stian Soiland‐Reyes, Sofie Verbrugge and Michel Dumontier. Their work appears in journals such as Journal of Web Semantics, PeerJ Computer Science and Semantic Web.

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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