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).
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-authorship network of co-authors of Marijn Koolen
This figure shows the co-authorship network connecting the top 25 collaborators of Marijn Koolen.
A scholar is included among the top collaborators of Marijn Koolen 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 Marijn Koolen. Marijn Koolen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Koolen, Marijn, et al.. (2018). A FRBROO-based annotation ontology for digital editing. KNAW Research Portal (The Royal Netherlands Academy of Arts and Sciences).
5.
Zervanou, Kalliopi, et al.. (2017). Creating Time Capsules for Historical Research in the Early Modern Period: Reconstructing Trajectories of Plant Medicines. Data Archiving and Networked Services (DANS). 1992. 2–9.2 indexed citations
Zundert, Joris van, et al.. (2017). Digital Humanities in the BeNeLux 2015. Digital humanities quarterly.1 indexed citations
8.
Bogers, Toine, Iris Hendrickx, Marijn Koolen, & Suzan Verberne. (2016). Overview of the SBS 2016 Mining Track. VBN Forskningsportal (Aalborg Universitet). 1053–1063.1 indexed citations
9.
Hall, Mark, Hugo Huurdeman, Jaap Kamps, et al.. (2015). First Workshop on Supporting Complex Search Tasks. UvA-DARE (University of Amsterdam).5 indexed citations
10.
Bogers, Toine, Pasquale Lops, Marijn Koolen, Cataldo Musto, & Giovanni Semeraro. (2015). CBRecSys 2016. New Trends on Content-Based Recommender Systems: Proceedings of the 3rd Workshop on New Trends on Content-Based Recommender Systems co-located with 10th ACM Conference on Recommender Systems (RecSys 2016). Conference on Recommender Systems.
11.
Huurdeman, Hugo, Jaap Kamps, & Marijn Koolen. (2014). Effective Metadata for Social Book Search from a User Perspective.. UvA-DARE (University of Amsterdam). 1180. 543–548.
12.
Koolen, Marijn, Hugo Huurdeman, & Jaap Kamps. (2013). Comparing topic representations for Social Book Search. Data Archiving and Networked Services (DANS).9 indexed citations
13.
Koolen, Marijn, Hugo Huurdeman, & Jaap Kamps. (2013). University of Amsterdam at the TREC 2013 contextual suggestion track: Learning user preferences from wikitravel categories. UvA-DARE (University of Amsterdam).1 indexed citations
14.
Koolen, Marijn, Jaap Kamps, & Hugo Huurdeman. (2012). Contextual Suggestion from Wikitravel: Exploiting Community-based Suggestions. UvA-DARE (University of Amsterdam).1 indexed citations
15.
Kamps, Jaap, Rianne Kaptein, & Marijn Koolen. (2010). Using anchor text, spam filtering and Wikipedia for web search and entity ranking. UvA-DARE (University of Amsterdam).11 indexed citations
16.
Kaptein, Rianne, Marijn Koolen, & Jaap Kamps. (2010). Result diversity and entity ranking experiments: anchors, links, text and Wikipedia. UvA-DARE (University of Amsterdam).16 indexed citations
17.
Arampatzis, Avi, et al.. (2008). Access to legal documents: Exact match, best match, and combinations. UvA-DARE (University of Amsterdam).6 indexed citations
Arampatzis, Avi, et al.. (2007). Deriving a Domain Specific Test Collection from a Query Log. 73–80.1 indexed citations
20.
Koolen, Marijn, et al.. (2006). Pleural thickening in a construction worker: it is not always mesothelioma.. Data Archiving and Networked Services (DANS). 64(3). 88–90.10 indexed citations
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.