Mark van Setten

540 citations
11 papers · 83 indexed · h-index 6

Impact in

Papers in

Mark van Setten

11 papers receiving 71 citations

Peers

Mark van Setten
Comparison fields: 5 of 27
  • Human-Computer Interaction 11
  • Information Systems 44
  • Computer Vision and Pattern Recognition 35
  • Information Systems and Management 10
  • Computer Science Applications 7
Replace Anna Gerber with:
Anna Gerber Australia
Adelheit Stein Germany
Stuart Rose United States
Kerry Shih-Ping Chang United States
Dominik Renzel Germany
Beth Sandore United States
Ludwin Fuchs United States
Naomi Saphra United Kingdom
Marlène Villanova-Oliver France
Jean Ferrié France
Mark van Setten relative to Anna Gerber Australia Anna Gerber's profile →
Citations per field
00.5×1.5×
Anna Gerber · 1×
Citations per year

Countries citing papers authored by Mark van Setten

Since Specialization
Citations

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

Fields of papers citing papers by Mark van Setten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark van Setten. 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 Mark van Setten. The network helps show where Mark van Setten may publish in the future.

Co-authors

The 15 scholars most cited alongside Mark van Setten, 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 Mark van Setten Line = papers co-authored together Mark van Setten links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200821
2
Prediction strategies: Combining prediction techniques to optimize personalization
200215
3 200510
4 20059
5 20057
6 19976
7
Experiments with a Recommendation Technique that Learns Category Interests.
20025
8 20075
9 20022
10 20012
11 20031

About Mark van Setten

Mark van Setten is a scholar working on Sociology and Political Science, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 11 papers that have together received 83 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (6 papers), Multimedia Communication and Technology (6 papers), Video Analysis and Summarization (5 papers), Advanced Text Analysis Techniques (2 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Image Retrieval and Classification Techniques (2 papers), Video Coding and Compression Technologies (1 paper) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Human-Computer Interaction (11 citations), Information Systems (44 citations), Computer Vision and Pattern Recognition (35 citations), Information Systems and Management (10 citations) and Computer Science Applications (7 citations). Mark van Setten has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Mettina Veenstra, Mark Melenhorst, Anton Nijholt, Sean M. McNee, Betsy van Dijk, Gerrit C. van der Veer, Sjaak Brinkkemper, Joseph A. Konstan, Paolo Costa and Stanislav Pokraev. Their work appears in journals such as Interacting with Computers, International Journal of Computers and Applications, University of Twente Research Information and International Conference on Human-Computer Interaction.

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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