Daniel Wiechmann

826 citations
37 papers · 370 · h-index 11

Impact in

Papers in

Daniel Wiechmann

37 papers receiving 352 citations

Peers

Daniel Wiechmann
Comparison fields: 5 of 50
  • Language and Linguistics 134
  • Linguistics and Language 41
  • Developmental and Educational Psychology 92
  • Artificial Intelligence 201
  • Health Informatics 8
Replace Elma Kerz with:
Elma Kerz Germany
Evelina Leivada Spain
Dina Abdel Salam El‐Dakhs Saudi Arabia
Jean Fox Tree United States
Knut Hofland Norway
Evangelia Adamou France
Theodora Alexopoulou United Kingdom
Verena Thaler Germany
Victoria Johansson Sweden
Emar Maier Netherlands
Daniel Wiechmann relative to Elma Kerz Germany Elma Kerz's profile →
Citations per field
00.5×3.8×
Elma Kerz · 1×
Citations per year

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-authors

The 9 scholars most cited alongside Daniel Wiechmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Wiechmann Line = papers co-authored together Daniel Wiechmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200866
2 202324
3 201324
4 201323
5 202020
6 201720
7 202118
8 202215
9
A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN
202012
10 202012
11 200611
12 200810
13 20239
14
Text Genre Classification Based on Linguistic Complexity Contours Using A Recurrent Neural Network.
20189
15 20219
16 20149
17 20138
18 20148
19 20148
20 20226

About Daniel Wiechmann

Daniel Wiechmann is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Language and Linguistics, Social Psychology and Cognitive Neuroscience, having authored 37 papers that have together received 370 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (10 papers), Second Language Acquisition and Learning (9 papers), Text Readability and Simplification (9 papers), Mental Health via Writing (7 papers), Neurobiology of Language and Bilingualism (7 papers), Syntax, Semantics, Linguistic Variation (4 papers) and Reading and Literacy Development (4 papers). The work is most often cited by research in Language and Linguistics (134 citations), Linguistics and Language (41 citations), Developmental and Educational Psychology (92 citations), Artificial Intelligence (201 citations) and Health Informatics (8 citations). Daniel Wiechmann has collaborated with scholars based in Germany, Netherlands and Austria. Frequent co-authors include Elma Kerz, Yu Qiao, Arne Lohmann, Neal Snider, Markus Strohmaier, T. Florian Jaeger, Thorsten Hennig‐Thurau, Stella Neumann and Morten H. Christiansen. Their work appears in journals such as Language Learning, English Language and Linguistics, Corpus Linguistics and Linguistic Theory, Frontiers in Psychiatry and Language Resources and Evaluation.

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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