L.J. van der Beek
- Language and Linguistics top 2%
- Artificial Intelligence top 10%
- Linguistics and Language top 5%
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Topics
- Natural Language Processing Techniques (6 papers)Syntax, Semantics, Linguistic Variation (4 papers)Topic Modeling (2 papers)
- Journals
- Journal of Experimental BotanyData Archiving and Networked Services (DANS)
- Partner nations
- NetherlandsBelgium
In The Last Decade
L.J. van der Beek
7 papers receiving 234 citations
Peers
Comparison fields: 5 of 31
- Language and Linguistics 230
- Artificial Intelligence 119
- Linguistics and Language 78
- Experimental and Cognitive Psychology 61
- Developmental and Educational Psychology 29
Countries citing papers authored by L.J. van der Beek
This map shows the geographic impact of L.J. van der Beek'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 L.J. van der Beek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.J. van der Beek more than expected).
Fields of papers citing papers by L.J. van der Beek
This network shows the impact of papers produced by L.J. van der Beek. 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 L.J. van der Beek. The network helps show where L.J. van der Beek may publish in the future.
Co-authorship network of co-authors of L.J. van der Beek
This figure shows the co-authorship network connecting the top 25 collaborators of L.J. van der Beek. A scholar is included among the top collaborators of L.J. van der Beek 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 L.J. van der Beek. L.J. van der Beek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Question Answering of Informative Web Pages: How Summarisation Technology Helps | 0 |
| 2 | 34 | |
| 3 | Argument Order Alternations in Dutch | 5 |
| 4 | The Role of the Lexicon in Optimality Theoretic Syntax | 4 |
| 5 | The Proceedings of the LFG '03 Conference | 216 |
| 6 | Algorithms for Linguistic Processing, NWO PIONIER, Progress Report | 8 |
| 7 | Een brede computationele grammatica voor het Nederlands | 15 |
| 8 | 5 |
About L.J. van der Beek
L.J. van der Beek is a scholar working on Language and Linguistics, Artificial Intelligence and Organizational Behavior and Human Resource Management, having authored 8 papers that have together received 287 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Topic Modeling (2 papers). The work is most often cited by research in Language and Linguistics (230 citations), Linguistics and Language (78 citations) and Experimental and Cognitive Psychology (61 citations). L.J. van der Beek has collaborated with scholars based in Netherlands and Belgium. Frequent co-authors include Gosse Bouma, van Gerardus Noord, Jan Daciuk, Gertjan van Noord and Robert Malouf. Their work appears in journals such as Journal of Experimental Botany and Data Archiving and Networked Services (DANS).
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.