Elma Kerz

451 total citations
34 papers, 239 citations indexed

About

Elma Kerz is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Elma Kerz has authored 34 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Developmental and Educational Psychology and 8 papers in Language and Linguistics. Recurrent topics in Elma Kerz's work include Natural Language Processing Techniques (16 papers), Text Readability and Simplification (11 papers) and Second Language Acquisition and Learning (11 papers). Elma Kerz is often cited by papers focused on Natural Language Processing Techniques (16 papers), Text Readability and Simplification (11 papers) and Second Language Acquisition and Learning (11 papers). Elma Kerz collaborates with scholars based in Germany, Netherlands and United States. Elma Kerz's co-authors include Daniel Wiechmann, Yu Qiao, Neal Snider, Markus Strohmaier, T. Florian Jaeger, Stella Neumann, Florian Haas, Morten H. Christiansen, Wei Zhou and Ralf Schlüter and has published in prestigious journals such as Cognitive Science, Language Learning and Studies in Second Language Acquisition.

In The Last Decade

Elma Kerz

32 papers receiving 227 citations

Peers

Elma Kerz

DEP

ECP

Daniel Wiechmann Germany

Jean Fox Tree United States

Marc Tomlinson United States

Knut Hofland Norway

Vineeta Chand United States

Ben Seipel United States

Yingying Liu China

Chen-Huei Liao Taiwan

Sophie Thompson‐Lee United Kingdom

Anne Helder Netherlands

Daniel Wiechmann Germany

Elma Kerz

201 ×1.5

92 ×1.5

DEP

134 ×2.4

41 ×1.0

63 ×1.9

ECP

Citations per year, relative to Elma Kerz Elma Kerz (= 1×) peers Daniel Wiechmann

Countries citing papers authored by Elma Kerz

Since Specialization

Citations

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

Fields of papers citing papers by Elma Kerz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elma Kerz

This figure shows the co-authorship network connecting the top 25 collaborators of Elma Kerz. A scholar is included among the top collaborators of Elma Kerz 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 Elma Kerz. Elma Kerz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wiechmann, Daniel, et al.. (2023). What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection. 8926–8940. 9 indexed citations

Kerz, Elma, et al.. (2023). Toward explainable AI (XAI) for mental health detection based on language behavior. Frontiers in Psychiatry. 14. 24 indexed citations

Wiechmann, Daniel, et al.. (2023). SMHD-GER: A Large-Scale Benchmark Dataset for Automatic Mental Health Detection from Social Media in German. 1526–1541. 2 indexed citations

Wiechmann, Daniel, et al.. (2022). MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders. 243–250. 4 indexed citations

Qiao, Yu, et al.. (2022). (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification. 125–146. 2 indexed citations

Wiechmann, Daniel, et al.. (2022). Improving the Generalizability of Text-Based Emotion Detection by Leveraging Transformers with Psycholinguistic Features. 1–13. 2 indexed citations

Kerz, Elma, et al.. (2022). Assessing linguistic complexity and register flexibility in advanced second language learners. 4(1). 55–90.

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

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

10.

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

11.

Qiao, Yu, et al.. (2021). Alzheimer’s Disease Detection from Spontaneous Speech Through Combining Linguistic Complexity and (Dis)Fluency Features with Pretrained Language Models. UvA-DARE (University of Amsterdam). 3805–3809. 18 indexed citations

12.

Kerz, Elma, et al.. (2020). The Relationship Between First and Second Language Writing: Investigating the Effects of First Language Complexity on Second Language Complexity in Advanced Stages of Learning. Language Learning. 70(3). 732–767. 20 indexed citations

13.

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

14.

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

15.

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

16.

Kerz, Elma, et al.. (2020). Becoming Linguistically Mature: Modeling English and German Children’s Writing Development Across School Grades. 65–74. 12 indexed citations

17.

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

18.

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

19.

Kerz, Elma & Daniel Wiechmann. (2015). Register-Contingent Entrenchment of Constructional Patterns. Journal of English Linguistics. 43(1). 61–85. 4 indexed citations

20.

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

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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