Alexander Geyken

803 total citations · 1 hit paper
37 papers, 501 citations indexed

About

Alexander Geyken is a scholar working on Language and Linguistics, Artificial Intelligence and Literature and Literary Theory. According to data from OpenAlex, Alexander Geyken has authored 37 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Language and Linguistics, 19 papers in Artificial Intelligence and 4 papers in Literature and Literary Theory. Recurrent topics in Alexander Geyken's work include Lexicography and Language Studies (22 papers), Linguistic research and analysis (18 papers) and Natural Language Processing Techniques (17 papers). Alexander Geyken is often cited by papers focused on Lexicography and Language Studies (22 papers), Linguistic research and analysis (18 papers) and Natural Language Processing Techniques (17 papers). Alexander Geyken collaborates with scholars based in Germany, United States and Netherlands. Alexander Geyken's co-authors include Kay-Michael Würzner, Reinhold Kliegl, Sascha Schroeder, Lothar Lemnitzer, Wolfgang Klein, Frank Wiegand, Angelika Störrer, Michael Beißwenger, Christiane Fellbaum and Jordan Boyd‐Graber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Behavior Research Methods and Language Resources and Evaluation.

In The Last Decade

Alexander Geyken

33 papers receiving 449 citations

Hit Papers

dlexDB – eine lexikalische Datenbank für die psychologisc... 2011 2026 2016 2021 2011 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Geyken Germany 9 250 210 160 94 92 37 501
Rihana S. Williams United States 8 393 1.6× 292 1.4× 124 0.8× 95 1.0× 97 1.1× 10 540
Arnout Koornneef Netherlands 11 337 1.3× 375 1.8× 106 0.7× 145 1.5× 202 2.2× 22 616
Kay-Michael Würzner Germany 7 246 1.0× 206 1.0× 111 0.7× 34 0.4× 86 0.9× 12 416
Alberto Simões Portugal 9 137 0.5× 160 0.8× 208 1.3× 85 0.9× 145 1.6× 74 482
Willem M. Mak Netherlands 11 408 1.6× 432 2.1× 144 0.9× 288 3.1× 204 2.2× 25 709
Li–Yun Chang Taiwan 11 291 1.2× 108 0.5× 46 0.3× 110 1.2× 115 1.3× 29 455
Eliana Colunga United States 12 451 1.8× 172 0.8× 106 0.7× 31 0.3× 137 1.5× 37 618
Eric Wanner United States 6 385 1.5× 188 0.9× 108 0.7× 158 1.7× 133 1.4× 8 534
Bene Bassetti United Kingdom 13 352 1.4× 164 0.8× 94 0.6× 184 2.0× 342 3.7× 29 603
Leslie C. Twilley Canada 9 480 1.9× 438 2.1× 141 0.9× 40 0.4× 208 2.3× 13 700

Countries citing papers authored by Alexander Geyken

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Geyken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Geyken

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Geyken. A scholar is included among the top collaborators of Alexander Geyken 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 Alexander Geyken. Alexander Geyken 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
1.
Burckhardt, Daniel, et al.. (2019). Distant Reading in der Zeitgeschichte. Möglichkeiten und Grenzen einer computergestützten Historischen Semantik am Beispiel der DDR-Presse. SHILAP Revista de lepidopterología. 2 indexed citations
2.
Wiegand, Frank, et al.. (2018). Recherchieren, Arbeiten und Publizieren im Deutschen Textarchiv: ein Praxisbericht. Zeitschrift für Germanistische Linguistik. 46(1). 147–161. 2 indexed citations
3.
Geyken, Alexander, et al.. (2017). Die Korpusplattform des „Digitalen Wörterbuchs der deutschen Sprache“ (DWDS). Zeitschrift für Germanistische Linguistik. 45(2). 327–344. 10 indexed citations
4.
Schroeder, Sascha, et al.. (2015). childLex–Eine lexikalische Datenbank zur Schriftsprache für Kinder im Deutschen. Psychologische Rundschau. 66(3). 155–165. 19 indexed citations
5.
Lemnitzer, Lothar, et al.. (2015). Combining a rule-based approach and machine learning in a good-example extraction task for the purpose of lexicographic work on contemporary standard German. Dialnet (Universidad de la Rioja). 21–31. 2 indexed citations
6.
Geyken, Alexander, et al.. (2015). Using a Maximum Entropy Classifier to link “good” corpus examples to dictionary senses. Dialnet (Universidad de la Rioja). 304–314. 1 indexed citations
7.
Lemnitzer, Lothar & Alexander Geyken. (2015). Semantic Modeling of Collocations for Lexicographic Purposes. 16(3). 200–223. 1 indexed citations
8.
Schroeder, Sascha, et al.. (2014). childLex: a lexical database of German read by children. Behavior Research Methods. 47(4). 1085–1094. 130 indexed citations
9.
Lemnitzer, Lothar, et al.. (2012). Automatic example sentence extraction for a contemporary German dictionary. 343–349. 11 indexed citations
10.
Lemnitzer, Lothar, et al.. (2012). DeRiK: A German Reference Corpus of Computer-Mediated Communication.. MADOC (University of Mannheim). 259–263. 3 indexed citations
11.
Geyken, Alexander & Lothar Lemnitzer. (2012). Using Google books unigrams to improve the update of large monolingual reference dictionaries.. 362–366. 4 indexed citations
12.
Klein, Wolfgang & Alexander Geyken. (2010). Das Digitale Wörterbuch der Deutschen Sprache (DWDS). Lexicographica - International Annual for Lexicography / Internationales Jahrbuch für Lexikographie. 26(2010). 79–96. 7 indexed citations
13.
Klein, Wolfgang & Alexander Geyken. (2010). Das Digitale Wörterbuch der Deutschen Sprache (DWDS). 26(2010). 79–96. 17 indexed citations
14.
Geyken, Alexander. (2009). Automatische Wortschatzerschließung großer Textkorpora am Beispiel des DWDS. SHILAP Revista de lepidopterología. 39(3). 1 indexed citations
15.
Geyken, Alexander, et al.. (2007). Eigennamenerkennung zwischen morphologischer Analyse und Part-of-Speech Tagging: ein automatentheoriebasierter Ansatz. Zeitschrift für Sprachwissenschaft. 26(2). 3 indexed citations
16.
Geyken, Alexander, et al.. (2006). LexikoNet - a lexical database based on type and role hierarchies. Language Resources and Evaluation. 1698–1701. 1 indexed citations
17.
Geyken, Alexander. (2004). Bootstrapping a Database of German Multi-word Expressions. Language Resources and Evaluation. 1 indexed citations
18.
Geyken, Alexander. (2004). Korpora als Korrektiv für einsprachige Wörterbücher. Zeitschrift für Literaturwissenschaft und Linguistik. 34(4). 72–100. 2 indexed citations
19.
Geyken, Alexander & Jordan Boyd‐Graber. (2004). Automatic classification of multi-word expressions in print dictionaries. Lingvisticae Investigationes. 26(2). 187–202. 3 indexed citations
20.
Geyken, Alexander. (1997). Matching Corpus Translations with Dictionary Senses. International Journal of Corpus Linguistics. 2(1). 1–22. 1 indexed citations

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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