Gertjan van Noord

89 papers receiving 912 citations

Peers

Gertjan van Noord
Comparison fields: 5 of 62
  • Artificial Intelligence 1.1k
  • Language and Linguistics 160
  • Computational Theory and Mathematics 133
  • Information Systems 92
  • Computer Networks and Communications 46
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Countries citing papers authored by Gertjan van Noord

Since Specialization
Citations

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

Fields of papers citing papers by Gertjan van Noord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gertjan van Noord

This figure shows the co-authorship network connecting the top 25 collaborators of Gertjan van Noord. A scholar is included among the top collaborators of Gertjan van Noord 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 Gertjan van Noord. Gertjan van Noord 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 3
2 3
3 5
4
A Taxonomy for In-depth Evaluation of Normalization for User Generated Content
7
5
From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
3
6
Adaptability of Lexical Acquisition for Large-scale Grammars
1
7
Effective Measures of Domain Similarity for Parsing
51
8
Reversible Stochastic Attribute-Value Grammars
17
9
Using Unknown Word Techniques to Learn Known Words
4
10
Acquisition of Unknown Word Paradigms for Large-Scale Grammars
5
11
Combining Finite State and Corpus-based Techniques for Unknown Word Prediction
7
12
ACL 2007 Workshop on Deep Linguistic Processing
0
13
Parsing partially bracketed input
3
14 2
15
Robustness in language and speech technology (Text, Speech and Language Technology)
2
16
An Extendible Regular Expression Compiler for Finite-State Approaches in Natural Language Processing
12
17 20
18
FSA utilities: A toolbox to manipulate finite-state automata
22
19
An overview of head-driven bottom-up generation
20
20 89

About Gertjan van Noord

Gertjan van Noord is a scholar working on Artificial Intelligence, Language and Linguistics and Computational Theory and Mathematics, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (80 papers), Topic Modeling (55 papers) and Speech and dialogue systems (30 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Language and Linguistics (160 citations) and Software (46 citations). Gertjan van Noord has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gosse Bouma, Dale Gerdemann, Barbara Plank, Fernando C. N. Pereira, Stuart M. Shieber, Robert C. Moore, Rob van der Goot, Martijn Wieling, Jean-Claude Junqua and Mark-Jan Nederhof. Their work appears in journals such as Journal of Experimental Botany, Theoretical Computer Science and Computational Linguistics.

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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