Mark-Jan Nederhof

1.3k total citations
69 papers, 507 citations indexed

About

Mark-Jan Nederhof is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Mark-Jan Nederhof has authored 69 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Artificial Intelligence, 26 papers in Computational Theory and Mathematics and 12 papers in Molecular Biology. Recurrent topics in Mark-Jan Nederhof's work include Natural Language Processing Techniques (50 papers), Algorithms and Data Compression (28 papers) and semigroups and automata theory (24 papers). Mark-Jan Nederhof is often cited by papers focused on Natural Language Processing Techniques (50 papers), Algorithms and Data Compression (28 papers) and semigroups and automata theory (24 papers). Mark-Jan Nederhof collaborates with scholars based in United Kingdom, Netherlands and Italy. Mark-Jan Nederhof's co-authors include Giorgio Satta, Herman Geuvers, Gertjan van Noord, Gosse Bouma, Rob Koeling, Heiko Vogler, Peter Wittenburg, Anoop Sarkar, Philippe de Groote and Stuart M. Shieber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the ACM and SIAM Journal on Computing.

In The Last Decade

Mark-Jan Nederhof

62 papers receiving 421 citations

Peers

Mark-Jan Nederhof
Comparison fields: 5 of 40
  • Artificial Intelligence 461
  • Computational Theory and Mathematics 183
  • Molecular Biology 50
  • Language and Linguistics 29
  • Information Systems 25
Replace Laura Kallmeyer with:
Laura Kallmeyer Germany
Marco Kuhlmann Sweden
Hiyan Alshawi United States
Jan Daciuk Poland
Verónica Dahl Canada
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Jakub Zavrel Netherlands
Joachim Niehren Germany
John T. Maxwell United States
Jean-Philippe Bernardy Sweden
Laura Kallmeyer Germany View profile →
Citations per field, relative to Mark-Jan Nederhof
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Citations per year, relative to Mark-Jan Nederhof
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Countries citing papers authored by Mark-Jan Nederhof

Since Specialization
Citations

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

Fields of papers citing papers by Mark-Jan Nederhof

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark-Jan Nederhof. 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 Mark-Jan Nederhof. The network helps show where Mark-Jan Nederhof may publish in the future.

Co-authorship network of co-authors of Mark-Jan Nederhof

This figure shows the co-authorship network connecting the top 25 collaborators of Mark-Jan Nederhof. A scholar is included among the top collaborators of Mark-Jan Nederhof 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 Mark-Jan Nederhof. Mark-Jan Nederhof 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
# Work Indexed citations
1
A Probabilistic Model of Ancient Egyptian Writing.
2
2
Hybrid Grammars for Discontinuous Parsing
7
3
Computation of Infix Probabilities for Probabilistic Context-Free Grammars
5
4
Prefix Probability for Probabilistic Synchronous Context-Free Grammars
3
5
Tree Parsing with Synchronous Tree-Adjoining Grammars
3
6
Prefix Probabilities for Linear Context-Free Rewriting Systems
2
7
Automatic creation of interlinear text for philological purposes
1
8 10
9
An alternative LR algorithm for TAGs
4
10
Parsing partially bracketed input
3
11
LEXUS, a web-based tool for manipulating lexical resources
16
12
Tabular Parsing
4
13 9
14
On the Complexity of Some Extensions of RCG Parsing
17
15 55
16
The computational complexity of the correct-prefix property for TAGs
13
17 44
18
Solving the Correct-prefix Property for TAGs
7
19
Reversible Pushdown Automata and Bidirectional Parsing
0
20
Efficient decoration of parse forests
3

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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