Maarten de Rijke

28.6k total citations · 4 hit papers
659 papers, 13.1k citations indexed

About

Maarten de Rijke is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maarten de Rijke has authored 659 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 482 papers in Artificial Intelligence, 286 papers in Information Systems and 80 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maarten de Rijke's work include Topic Modeling (272 papers), Natural Language Processing Techniques (141 papers) and Information Retrieval and Search Behavior (136 papers). Maarten de Rijke is often cited by papers focused on Topic Modeling (272 papers), Natural Language Processing Techniques (141 papers) and Information Retrieval and Search Behavior (136 papers). Maarten de Rijke collaborates with scholars based in Netherlands, China and United Kingdom. Maarten de Rijke's co-authors include Yde Venema, Patrick Blackburn, Krisztian Balog, Wouter Weerkamp, Leif Azzopardi, Zhaochun Ren, Edgar Meij, Pengjie Ren, Jaap Kamps and Gilad Mishne and has published in prestigious journals such as Nature, ACM Computing Surveys and Artificial Intelligence.

In The Last Decade

Maarten de Rijke

599 papers receiving 12.0k citations

Hit Papers

Modal logic 2001 2026 2009 2017 2001 2001 2006 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maarten de Rijke Netherlands 50 9.7k 5.7k 1.6k 1.4k 1.2k 659 13.1k
Oren Etzioni United States 63 13.5k 1.4× 6.4k 1.1× 477 0.3× 1.5k 1.1× 1.5k 1.2× 192 17.7k
Steffen Staab Germany 47 7.4k 0.8× 4.6k 0.8× 352 0.2× 851 0.6× 878 0.7× 335 10.3k
Alexander Tuzhilin United States 40 4.2k 0.4× 9.2k 1.6× 674 0.4× 2.9k 2.1× 1.7k 1.4× 158 12.0k
James Hendler United States 61 12.1k 1.2× 8.1k 1.4× 535 0.3× 1.7k 1.2× 1.5k 1.2× 335 18.6k
Ricardo Baeza‐Yates Spain 51 9.6k 1.0× 7.5k 1.3× 765 0.5× 3.2k 2.3× 1.0k 0.8× 352 17.8k
Cynthia Dwork United States 46 11.5k 1.2× 2.1k 0.4× 1.5k 0.9× 883 0.6× 1.1k 0.9× 129 16.0k
Lise Getoor United States 48 6.2k 0.6× 2.0k 0.4× 486 0.3× 1.0k 0.7× 1.2k 1.0× 234 9.0k
Bamshad Mobasher United States 48 4.0k 0.4× 7.8k 1.4× 338 0.2× 1.6k 1.1× 1.1k 0.9× 180 10.0k
Raymond J. Mooney United States 60 11.9k 1.2× 3.4k 0.6× 650 0.4× 4.3k 3.0× 1.3k 1.1× 200 16.1k
Yoav Shoham United States 44 4.7k 0.5× 2.6k 0.5× 824 0.5× 942 0.7× 3.3k 2.7× 169 10.2k

Countries citing papers authored by Maarten de Rijke

Since Specialization
Citations

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

Fields of papers citing papers by Maarten de Rijke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maarten de Rijke. 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 Maarten de Rijke. The network helps show where Maarten de Rijke may publish in the future.

Co-authorship network of co-authors of Maarten de Rijke

This figure shows the co-authorship network connecting the top 25 collaborators of Maarten de Rijke. A scholar is included among the top collaborators of Maarten de Rijke 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 Maarten de Rijke. Maarten de Rijke 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
1.
Ai, Qingyao, Yiqun Liu, Maarten de Rijke, et al.. (2025). Generative language reconstruction from brain recordings. Communications Biology. 8(1). 346–346. 3 indexed citations
2.
Yates, Andrew, et al.. (2024). Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?. arXiv (Cornell University). 924–934. 3 indexed citations
3.
Zhan, Jingtao, Qingyao Ai, Yiqun Liu, et al.. (2024). Query Augmentation with Brain Signals. Research at the University of Copenhagen (University of Copenhagen). 7561–7570. 1 indexed citations
4.
Arabzadeh, Negar, et al.. (2024). Ranked List Truncation for Large Language Model-based Re-Ranking. arXiv (Cornell University). 141–151. 10 indexed citations
5.
Oosterhuis, Harrie, et al.. (2024). Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems. UvA-DARE (University of Amsterdam). 416–426. 3 indexed citations
6.
Rijke, Maarten de, et al.. (2024). Large Language Models for Next Point-of-Interest Recommendation. arXiv (Cornell University). 1463–1472. 21 indexed citations
7.
Wu, Jiancan, et al.. (2024). Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. arXiv (Cornell University). 1796–1806. 17 indexed citations
8.
Xin, Xin, Xiangyuan Liu, Pengjie Ren, et al.. (2023). Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. arXiv (Cornell University). 932–941. 14 indexed citations
9.
Wang, Shanshan, Pengjie Ren, Zhumin Chen, et al.. (2020). Coding Electronic Health Records with Adversarial Reinforcement Path Generation. UvA-DARE (University of Amsterdam). 801–810. 11 indexed citations
10.
Rijke, Maarten de, et al.. (2016). Seeking Serendipity. UvA-DARE (University of Amsterdam). 989–992. 5 indexed citations
11.
Meij, Edgar, Jiyin He, Wouter Weerkamp, & Maarten de Rijke. (2010). Topical Diversity and Relevance Feedback. UvA-DARE (University of Amsterdam).
12.
Jijkoun, Valentin, Maarten de Rijke, & Wouter Weerkamp. (2010). Generating Focused Topic-Specific Sentiment Lexicons. UvA-DARE (University of Amsterdam). 585–594. 50 indexed citations
13.
Meij, Edgar & Maarten de Rijke. (2008). The University of Amsterdam at the CLEF 2008 Domain Specific Track : Parsimonious relevance and concept models. UvA-DARE (University of Amsterdam). 2 indexed citations
14.
Larson, Martha, et al.. (2008). On the topical structure of the relevance feedback set. UvA-DARE (University of Amsterdam). 69–72. 3 indexed citations
15.
Adafre, Sisay Fissaha & Maarten de Rijke. (2006). Finding Similar Sentences across Multiple Languages in Wikipedia. 23(5). 726–8. 100 indexed citations
16.
Rijke, Maarten de, et al.. (2001). The random modal qbf test set. UvA-DARE (University of Amsterdam). 4 indexed citations
17.
Rijke, Maarten de, et al.. (2001). Modal logic and local search. UvA-DARE (University of Amsterdam).
18.
Areces, Carlos, et al.. (2000). Tree-based Heuristics in Modal Theorem Proving. UvA-DARE (University of Amsterdam). 199–203. 9 indexed citations
19.
Rijke, Maarten de, et al.. (1999). JFAK. Essays Dedicated to Johan van Benthem on the Occasion of his 50th Birthday. UvA-DARE (University of Amsterdam). 46 indexed citations
20.
Hoek, Wiebe van der & Maarten de Rijke. (1992). Counting objects in generalized quantifier theory, modal logic and knowledge representation. Information Retrieval. 2 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.

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