Martin Reynaert

23 papers receiving 206 citations

Peers

Martin Reynaert
Comparison fields: 5 of 34
  • Artificial Intelligence 205
  • Computer Vision and Pattern Recognition 51
  • Computational Theory and Mathematics 34
  • Language and Linguistics 34
  • Literature and Literary Theory 26
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Countries citing papers authored by Martin Reynaert

Since Specialization
Citations

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

Fields of papers citing papers by Martin Reynaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Reynaert

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Reynaert. A scholar is included among the top collaborators of Martin Reynaert 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 Martin Reynaert. Martin Reynaert 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
#WorkIndexed citations
1
Granularity versus Dispersion in the Dutch Diachronical Database of Lexical Frequencies TICCLAT
1
2
Nederlab : Towards a Single Portal and Research Environment for Diachronic Dutch Text Corpora
3
3
OCR Post-Correction Evaluation of Early Dutch Books Online - Revisited
5
4
PICCL: Philosophical Integrator of Computational and Corpus Libraries
4
5
OpenSoNaR: user-driven development of the SoNaR corpus interfaces
4
6
CLAM: Quickly deploy NLP command-line tools on the web
3
7
FoLiA: A practical XML Format for Linguistic Annotation - a descriptive and comparative study
42
8
Synergy of Nederlab and @Philos TEI: diachronic and multilingual Text- Induced Corpus Clean-up
6
9
TICCLops: Text-Induced Corpus Clean-up as online processing system
6
10 6
11
Historical spelling normalization. A comparison of two statistical methods:TICCL and VARD2
6
12
Beyond SoNaR: towards the facilitation of large corpus building efforts
3
13
Balancing SoNAR : IPR versus Processing Issues in a 550-Million-word written Dutch Reference Corpus
18
14 33
15
All, and only, the errors : More complete and consistent spelling and OCR-error correction evaluation
15
16
From D-Coi to SoNaR : A reference corpus for Dutch
22
17
Corpus-Induced Corpus Clean-up
4
18 5
19 32
20 21

About Martin Reynaert

Martin Reynaert is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Literature and Literary Theory, having authored 24 papers that have together received 255 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (22 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (205 citations), Language and Linguistics (34 citations) and Computer Vision and Pattern Recognition (51 citations). Martin Reynaert has collaborated with scholars based in Netherlands, Belgium and Iran. Frequent co-authors include Antal van den Bosch, Véronique Hoste, Erwin Marsi, Walter Daelemans, Ineke Schuurman, Henk van den Heuvel, Nelleke Oostdijk, Franciska de Jong, Orphée De Clercq and Gertjan van Noord. Their work appears in journals such as Language Resources and Evaluation, International Journal on Document Analysis and Recognition (IJDAR) and Radboud Repository (Radboud University).

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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