Marijn Koolen

2.5k citations
110 papers · 1.3k · h-index 18

Impact in

Papers in

    • Information Retrieval and Search Behavior 27
    • Recommender Systems and Techniques 22
    • Web Data Mining and Analysis 19
    • Expert finding and Q&A systems 13
    • Topic Modeling 16
    • Semantic Web and Ontologies 15
    • Natural Language Processing Techniques 9

Marijn Koolen

98 papers receiving 1.2k citations

Peers

Marijn Koolen
Comparison fields: 5 of 126
  • Computer Science Applications 114
  • Information Systems 434
  • Nephrology 75
  • Oncology 271
  • Artificial Intelligence 342
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Martin Fenner Germany
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Harjit Singh India
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Citations per field
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Citations per year

Countries citing papers authored by Marijn Koolen

Since Specialization
Citations

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

Fields of papers citing papers by Marijn Koolen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997160
2 2019120
3 1993108
4 201193
5 200486
6 200049
7 200930
8 200828
9 201027
10 201225
11 199422
12 201821
13 201720
14 200819
15 199319
16 201819
17 200718
18 201117
19 201517
20
Result diversity and entity ranking experiments: anchors, links, text and Wikipedia
201016

About Marijn Koolen

Marijn Koolen is a scholar working on Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition, Literature and Literary Theory and Communication, having authored 110 papers that have together received 1.3k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (27 papers), Recommender Systems and Techniques (22 papers), Web Data Mining and Analysis (19 papers), Topic Modeling (16 papers), Semantic Web and Ontologies (15 papers), Expert finding and Q&A systems (13 papers), Digital Humanities and Scholarship (10 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Computer Science Applications (114 citations), Information Systems (434 citations), Nephrology (75 citations), Oncology (271 citations) and Artificial Intelligence (342 citations). Marijn Koolen has collaborated with scholars based in Netherlands, Denmark and United Kingdom. Frequent co-authors include Jaap Kamps, Toine Bogers, Gabriella Kazai, Pasquale Lops, Pieter E. Postmus, Dietmar Jannach, Cataldo Musto, Nataša Milić-Frayling, Giuseppe Giaccone and Nico van Zandwijk. Their work appears in journals such as ACM SIGIR Forum, Journal of Clinical Oncology, European Journal of Cancer, The International Journal of Biological Markers and Historical Methods A Journal of Quantitative and Interdisciplinary History.

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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