L.J. van der Beek

9 total papers · 747 total citations
8 papers, 287 citations indexed

About

L.J. van der Beek is a scholar working on Artificial Intelligence, Language and Linguistics and Experimental and Cognitive Psychology. According to data from OpenAlex, L.J. van der Beek has authored 8 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Language and Linguistics and 1 paper in Experimental and Cognitive Psychology. Recurrent topics in L.J. van der Beek's work include Natural Language Processing Techniques (6 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Topic Modeling (2 papers). L.J. van der Beek is often cited by papers focused on Natural Language Processing Techniques (6 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Topic Modeling (2 papers). L.J. van der Beek collaborates with scholars based in Belgium and Netherlands. L.J. van der Beek's co-authors include Gosse Bouma, van Gerardus Noord, Jan Daciuk, Gertjan van Noord and Robert Malouf and has published in prestigious journals such as Journal of Experimental Botany, Data Archiving and Networked Services (DANS) and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

L.J. van der Beek

7 papers receiving 234 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
L.J. van der Beek	230	119	78	61	29	8	287
Lina Choueiri	245 1.1×	84 0.7×	93 1.2×	71 1.2×	36 1.2×	12	317
Andrew McIntyre	180 0.8×	95 0.8×	37 0.5×	66 1.1×	34 1.2×	14	224
Sandra Stjepanović	223 1.0×	102 0.9×	56 0.7×	75 1.2×	15 0.5×	10	242
Robert Peter Ebert	193 0.8×	81 0.7×	63 0.8×	46 0.8×	35 1.2×	12	253
Ray A. Freeze	247 1.1×	82 0.7×	82 1.1×	86 1.4×	17 0.6×	8	274
Staffan Hellberg	183 0.8×	85 0.7×	63 0.8×	75 1.2×	26 0.9×	13	247
Ilan Hazout	196 0.9×	95 0.8×	46 0.6×	54 0.9×	15 0.5×	13	215
Vladimir Borschev	186 0.8×	98 0.8×	32 0.4×	70 1.1×	8 0.3×	16	225
Michael F. Ziolkowski	224 1.0×	87 0.7×	77 1.0×	119 2.0×	31 1.1×	7	288
Gabi Danon	215 0.9×	96 0.8×	55 0.7×	47 0.8×	27 0.9×	9	247

Countries citing papers authored by L.J. van der Beek

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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