Johan Bos

5.7k total citations
143 papers, 3.0k citations indexed

About

Johan Bos is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Language and Linguistics. According to data from OpenAlex, Johan Bos has authored 143 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 12 papers in Language and Linguistics. Recurrent topics in Johan Bos's work include Natural Language Processing Techniques (91 papers), Topic Modeling (69 papers) and Semantic Web and Ontologies (32 papers). Johan Bos is often cited by papers focused on Natural Language Processing Techniques (91 papers), Topic Modeling (69 papers) and Semantic Web and Ontologies (32 papers). Johan Bos collaborates with scholars based in Netherlands, United Kingdom and Italy. Johan Bos's co-authors include H. van de Mheen, Karien Stronks, James Curran, Valerio Basile, Erik Tjong Kim Sang, Katja Markert, Kilian Evang, Johan P. Mackenbach, Noortje J. Venhuizen and Stephen Clark and has published in prestigious journals such as Social Science & Medicine, International Journal of Epidemiology and Biological Conservation.

In The Last Decade

Johan Bos

132 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Bos Netherlands 30 2.1k 336 268 222 157 143 3.0k
Katrin Kirchhoff United States 32 2.9k 1.4× 108 0.3× 13 0.0× 306 1.4× 198 1.3× 125 3.5k
Gondy Leroy United States 25 839 0.4× 352 1.0× 108 0.4× 64 0.3× 257 1.6× 122 1.8k
Stéfan Darmoni France 22 706 0.3× 294 0.9× 40 0.1× 52 0.2× 183 1.2× 213 1.9k
Judy Robertson United Kingdom 26 214 0.1× 175 0.5× 84 0.3× 142 0.6× 261 1.7× 80 2.3k
Maarten Sap United States 25 1.9k 0.9× 122 0.4× 119 0.4× 201 0.9× 217 1.4× 70 2.9k
Frank B. Baker United States 27 549 0.3× 151 0.4× 56 0.2× 104 0.5× 316 2.0× 107 4.0k
Jennifer Foster Ireland 21 1.1k 0.5× 67 0.2× 63 0.2× 71 0.3× 135 0.9× 107 1.5k
Karin Verspoor Australia 34 2.1k 1.0× 159 0.5× 65 0.2× 168 0.8× 299 1.9× 246 3.8k
Kikumi K. Tatsuoka United States 26 1.1k 0.5× 45 0.1× 26 0.1× 72 0.3× 365 2.3× 76 3.4k
David Jurgens United States 23 1.2k 0.6× 34 0.1× 69 0.3× 104 0.5× 164 1.0× 90 1.9k

Countries citing papers authored by Johan Bos

Since Specialization
Citations

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

Fields of papers citing papers by Johan Bos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Bos

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Bos. A scholar is included among the top collaborators of Johan Bos 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 Johan Bos. Johan Bos 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.
Oepen, Stephan, Omri Abend, Lasha Abzianidze, et al.. (2020). MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. Research at the University of Copenhagen (University of Copenhagen). 1–22. 31 indexed citations
2.
Bos, Johan, et al.. (2020). MAGPIE: A Large Corpus of Potentially Idiomatic Expressions. Language Resources and Evaluation. 279–287. 23 indexed citations
3.
Bos, Johan. (2014). Semantic Annotation Issues in Parallel Meaning Banking. Data Archiving and Networked Services (DANS). 17–20. 3 indexed citations
4.
Venhuizen, Noortje J., Valerio Basile, Kilian Evang, & Johan Bos. (2013). 2013. Gamification for word sense labeling. University of Groningen research database (University of Groningen / Centre for Information Technology). 50 indexed citations
5.
Basile, Valerio & Johan Bos. (2013). Proceedings of the 14th European Workshop on Natural Language Generation. 24 indexed citations
6.
Basile, Valerio, Johan Bos, Kilian Evang, & Noortje J. Venhuizen. (2012). UGroningen: Negation detection with Discourse Representation Structures. University of Groningen research database (University of Groningen / Centre for Information Technology). 301–309. 8 indexed citations
7.
Basile, Valerio, Johan Bos, Kilian Evang, & Noortje J. Venhuizen. (2012). Developing a large semantically annotated corpus. University of Groningen research database (University of Groningen / Centre for Information Technology). 64 indexed citations
8.
Agirre, Eneko, et al.. (2012). *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012). Joint Conference on Lexical and Computational Semantics. 1. 5 indexed citations
9.
Honnibal, Matthew, James Curran, & Johan Bos. (2010). Rebanking CCGbank for Improved NP Interpretation. University of Groningen research database (University of Groningen / Centre for Information Technology). 207–215. 13 indexed citations
10.
Blackburn, Patrick & Johan Bos. (2008). Computational Semantics. THEORIA An International Journal for Theory History and Foundations of Science. 18(1). 27–45. 8 indexed citations
11.
Bos, Johan. (2008). Let’s not Argue about Semantics. Language Resources and Evaluation. 15 indexed citations
12.
Bos, Johan, et al.. (2007). The Pronto QA system at TREC-2007: harvesting hyponyms, using nominalisation patterns, and computing answer cardinality. Text REtrieval Conference. 6 indexed citations
13.
Bos, Johan & Katja Markert. (2006). Recognising textual entailment with robust logical inference. 2 indexed citations
14.
Bos, Johan & Malvina Nissim. (2006). Cross-Lingual Question Answering by Answer Translation.. CLEF (Working Notes). 6 indexed citations
15.
Bos, Johan. (2006). The "La Sapienza" Question Answering System at TREC 2006.. Text REtrieval Conference. 3 indexed citations
16.
Leidner, Jochen L., Johan Bos, James Curran, et al.. (2003). QED: The Edinburgh TREC-2003 Question Answering System. Edinburgh Research Explorer. 631–635. 6 indexed citations
17.
Leidner, Jochen L., et al.. (2003). In Proceedings of the 3rd International Workshop on Linguistically Interpreted Corpora. 96(1). 183–91. 1 indexed citations
18.
Bos, Johan, Ewan Klein, Oliver Lemon, & Tetsushi Oka. (2003). DIPPER : Description and formalisation of an information-state update dialogue system architecture. Annual Meeting of the Special Interest Group on Discourse and Dialogue. 115–124. 72 indexed citations
19.
Lauria, Stanislao, Guido Bugmann, Theocharis Kyriacou, Johan Bos, & Ewan Klein. (2001). Personal Robot Training via Natural-Language Instructions. Research at York St John (York St John University). 11 indexed citations
20.
Stronks, Karien, H. van de Mheen, Johan Bos, & Johan P. Mackenbach. (1995). Smaller Socioeconomic Inequalities in Health among Women: The Role of Employment Status. International Journal of Epidemiology. 24(3). 559–568. 52 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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