Daniel Wiechmann

826 total citations
37 papers, 370 citations indexed

About

Daniel Wiechmann is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Daniel Wiechmann has authored 37 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 12 papers in Developmental and Educational Psychology and 8 papers in Language and Linguistics. Recurrent topics in Daniel Wiechmann's work include Natural Language Processing Techniques (18 papers), Topic Modeling (10 papers) and Text Readability and Simplification (9 papers). Daniel Wiechmann is often cited by papers focused on Natural Language Processing Techniques (18 papers), Topic Modeling (10 papers) and Text Readability and Simplification (9 papers). Daniel Wiechmann collaborates with scholars based in Germany, Netherlands and Austria. Daniel Wiechmann's co-authors include Elma Kerz, Yu Qiao, Arne Lohmann, Neal Snider, Markus Strohmaier, T. Florian Jaeger, Stella Neumann, Thorsten Hennig‐Thurau and Morten H. Christiansen and has published in prestigious journals such as Cognitive Science, Language Learning and Studies in Second Language Acquisition.

In The Last Decade

Daniel Wiechmann

37 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wiechmann Germany 11 201 134 92 63 49 37 370
Jean Fox Tree United States 5 213 1.1× 99 0.7× 49 0.5× 110 1.7× 53 1.1× 7 325
Elma Kerz Germany 10 134 0.7× 55 0.4× 62 0.7× 33 0.5× 27 0.6× 34 239
Knut Hofland Norway 6 135 0.7× 88 0.7× 89 1.0× 47 0.7× 63 1.3× 12 296
Victoria Johansson Sweden 11 127 0.6× 129 1.0× 233 2.5× 38 0.6× 60 1.2× 34 488
Dina Abdel Salam El‐Dakhs Saudi Arabia 12 87 0.4× 241 1.8× 150 1.6× 80 1.3× 36 0.7× 81 483
Evelina Leivada Spain 13 95 0.5× 114 0.9× 161 1.8× 51 0.8× 184 3.8× 51 419
Silvia Hansen‐Schirra Germany 16 416 2.1× 321 2.4× 65 0.7× 84 1.3× 42 0.9× 53 686
Arnt Lykke Jakobsen Denmark 13 298 1.5× 456 3.4× 71 0.8× 128 2.0× 34 0.7× 27 654
Meredith Larson United States 6 65 0.3× 85 0.6× 105 1.1× 109 1.7× 71 1.4× 7 285
Alexander Geyken Germany 9 160 0.8× 94 0.7× 250 2.7× 92 1.5× 210 4.3× 37 501

Countries citing papers authored by Daniel Wiechmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wiechmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wiechmann

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wiechmann. A scholar is included among the top collaborators of Daniel Wiechmann 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 Daniel Wiechmann. Daniel Wiechmann 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
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Kerz, Elma, et al.. (2023). Toward explainable AI (XAI) for mental health detection based on language behavior. Frontiers in Psychiatry. 14. 24 indexed citations
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Wiechmann, Daniel, et al.. (2022). MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. 243–250. 4 indexed citations
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Kerz, Elma, et al.. (2021). Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs. UvA-DARE (University of Amsterdam). 199–209. 2 indexed citations
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Kerz, Elma, et al.. (2021). FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German. UvA-DARE (University of Amsterdam). 78–91. 9 indexed citations
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Kerz, Elma, Yu Qiao, & Daniel Wiechmann. (2021). Language that Captivates the Audience : Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task. UvA-DARE (University of Amsterdam). 13–24. 3 indexed citations
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Qiao, Yu, Daniel Wiechmann, & Elma Kerz. (2020). A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN. UvA-DARE (University of Amsterdam). 14–31. 12 indexed citations
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Kerz, Elma, et al.. (2020). Understanding the Dynamics of Second Language Writing through Keystroke Logging and Complexity Contours.. Language Resources and Evaluation. 182–188. 2 indexed citations
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Kerz, Elma & Daniel Wiechmann. (2020). The role of verbal working memory in L2 sentence comprehension. UvA-DARE (University of Amsterdam). 3(1). 1–30. 2 indexed citations
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Kerz, Elma, Daniel Wiechmann, & Morten H. Christiansen. (2019). Tuning to Multiple Statistics: Second Language Processing of Multiword Sequences across Registers. Cognitive Science. 546–552. 1 indexed citations
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Kerz, Elma, et al.. (2018). Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network.. UvA-DARE (University of Amsterdam). 56–63. 9 indexed citations
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Kerz, Elma & Daniel Wiechmann. (2015). Register-Contingent Entrenchment of Constructional Patterns. Journal of English Linguistics. 43(1). 61–85. 4 indexed citations
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Wiechmann, Daniel, Elma Kerz, Neal Snider, & T. Florian Jaeger. (2013). Introduction to the Special Issue: Parsimony and Redundancy in Models of Language. Language and Speech. 56(3). 257–264. 8 indexed citations
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Wiechmann, Daniel. (2008). On the computation of collostruction strength: Testing measures of association as expressions of lexical bias. Corpus Linguistics and Linguistic Theory. 4(2). 66 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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