Menno van Zaanen

1.5k total citations
88 papers, 703 citations indexed

About

Menno van Zaanen is a scholar working on Artificial Intelligence, Education and Computational Theory and Mathematics. According to data from OpenAlex, Menno van Zaanen has authored 88 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 10 papers in Education and 7 papers in Computational Theory and Mathematics. Recurrent topics in Menno van Zaanen's work include Natural Language Processing Techniques (48 papers), Topic Modeling (29 papers) and Speech and dialogue systems (13 papers). Menno van Zaanen is often cited by papers focused on Natural Language Processing Techniques (48 papers), Topic Modeling (29 papers) and Speech and dialogue systems (13 papers). Menno van Zaanen collaborates with scholars based in Netherlands, Australia and United Kingdom. Menno van Zaanen's co-authors include Diego Mollá, Rianne Conijn, Timothy Baldwin, James Curran, Pieter Adriaans, Luuk Van Waes, Colin de la Higuera, Jeffrey Heinz, Pieter Spronck and Roberto Martínez‐Maldonado and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computational Linguistics and Lecture notes in computer science.

In The Last Decade

Menno van Zaanen

83 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Menno van Zaanen Netherlands 12 482 78 68 67 64 88 703
Helmut Horacek Germany 15 609 1.3× 79 1.0× 29 0.4× 67 1.0× 19 0.3× 73 742
Malcolm Bauer United States 11 288 0.6× 75 1.0× 118 1.7× 50 0.7× 27 0.4× 30 643
Mahesh Joshi United States 12 334 0.7× 70 0.9× 35 0.5× 35 0.5× 33 0.5× 28 487
C. Brew United States 19 821 1.7× 129 1.7× 81 1.2× 63 0.9× 31 0.5× 64 1.0k
Maxim Mozgovoy Japan 12 241 0.5× 141 1.8× 50 0.7× 29 0.4× 42 0.7× 50 464
Beata Beigman Klebanov United States 19 737 1.5× 116 1.5× 83 1.2× 44 0.7× 15 0.2× 81 1.0k
Sara Tonelli Italy 20 1.0k 2.2× 158 2.0× 23 0.3× 58 0.9× 45 0.7× 108 1.2k
Luísa Coheur Portugal 11 596 1.2× 103 1.3× 26 0.4× 40 0.6× 91 1.4× 68 689
Richard Power United Kingdom 20 861 1.8× 103 1.3× 78 1.1× 52 0.8× 17 0.3× 70 1.2k
Torsten Zesch Germany 25 1.6k 3.4× 313 4.0× 72 1.1× 126 1.9× 45 0.7× 117 1.8k

Countries citing papers authored by Menno van Zaanen

Since Specialization
Citations

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

Fields of papers citing papers by Menno van Zaanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menno van Zaanen

This figure shows the co-authorship network connecting the top 25 collaborators of Menno van Zaanen. A scholar is included among the top collaborators of Menno van Zaanen 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 Menno van Zaanen. Menno van Zaanen 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.
Zaanen, Menno van, et al.. (2024). Annotating Mystery Novels: Guidelines and Adaptations. 55–66.
2.
Conijn, Rianne, Christine Cook, Menno van Zaanen, & Luuk Van Waes. (2021). Early prediction of writing quality using keystroke logging. International Journal of Artificial Intelligence in Education. 32(4). 835–866. 8 indexed citations
3.
Zaanen, Menno van, et al.. (2020). Identifying relations between characters in Afrikaans, Tshivenḓa, and Xitsonga books. DH. 1 indexed citations
4.
Zaanen, Menno van, et al.. (2019). Manual Annotation of Unsupervised Models: Close and Distant Reading of Politics on Reddit. Digital humanities quarterly. 13(3). 1 indexed citations
5.
Barone, Antonio Valerio Miceli, Rico Sennrich, Menno van Zaanen, et al.. (2018). Improving Machine Translation of Educational Content via Crowdsourcing. Arrow@dit (Dublin Institute of Technology). 2 indexed citations
6.
Conijn, Rianne, Ad Kleingeld, Uwe Matzat, Chris Snijders, & Menno van Zaanen. (2016). Influence of course characteristics, student characteristics, and behavior in learning management systems on student performance. TU/e Research Portal. 2 indexed citations
7.
Reynaert, Martin, et al.. (2014). OpenSoNaR: user-driven development of the SoNaR corpus interfaces. Research portal (Tilburg University). 124–128. 4 indexed citations
8.
Spronck, Pieter, et al.. (2013). Player Skill Modeling in Starcraft II. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(1). 2–8. 17 indexed citations
9.
Zaanen, Menno van, et al.. (2012). Learning interpretations using sequence classification. Data Archiving and Networked Services (DANS). 220–223.
10.
Heinz, Jeffrey, Colin de la Higuera, & Menno van Zaanen. (2012). Grammatical inference for computational lingustics. CERN Document Server (European Organization for Nuclear Research). 8 indexed citations
11.
Zaanen, Menno van & Nanne van Noord. (2012). Model merging versus model splitting context-free grammar induction. Data Archiving and Networked Services (DANS). 224–236. 2 indexed citations
12.
Heinz, Jeffrey, Colin de la Higuera, & Menno van Zaanen. (2011). Formal and Empirical Grammatical Inference. Meeting of the Association for Computational Linguistics. 2–2. 1 indexed citations
13.
Zaanen, Menno van, et al.. (2010). Computational Language Learning. Research portal (Tilburg University). 2 indexed citations
14.
Zaanen, Menno van & Colin de la Higuera. (2009). CLAGI 2009 : proceedings of the EACL 2009 Workshop on Computational Linguistic Aspects of Grammatical Inference : 30 March 2009, Athens, Greece. 1 indexed citations
15.
Zaanen, Menno van. (2008). Multi-lingual Question Answering using OpenEphyra.. CLEF (Working Notes). 3 indexed citations
16.
Zaanen, Menno van & Diego Mollá. (2007). AnswerFinder at QA@CLEF 2007. CLEF (Working Notes). 2 indexed citations
17.
Mollá, Diego, Steve Cassidy, & Menno van Zaanen. (2007). AnswerFinder at QAst 2007: Named Entity Recognition for QA on Speech Transcripts. CEUR Workshop Proceedings. 1173. 1–9. 3 indexed citations
18.
Coste, F, et al.. (2005). Progressing the state-of-the-art in grammatical inference by competition. AI Communications. 1 indexed citations
19.
Adriaans, Pieter, Henning Fernau, Colin de la Higuera, & Menno van Zaanen. (2004). Introduction to the Special Issue on Grammar Induction. Data Archiving and Networked Services (DANS). 7. 41–43. 2 indexed citations
20.
Zaanen, Menno van & Guido de Croon. (2004). FINT: Find Images aNd Text. Data Archiving and Networked Services (DANS). 15–18. 1 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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