Daniela Mertzen
Impact in
- Cognitive Neuroscience top 10%
- Neurobiology of Language and Bilingualism
-
- Reading and Literacy Development
- Second Language Acquisition and Learning
Papers in
-
- Neurobiology of Language and Bilingualism 5
-
- Topic Modeling 2
- Text Readability and Simplification 1
- Bayesian Modeling and Causal Inference 1
- Co-authors
- Lena A. Jäger (2 shared papers)Andrew Gelman (1 shared paper)Shravan Vasishth (6 shared papers)Julie A. Van Dyke (1 shared paper)Ralf Engbert (4 shared papers)Sol Lago (1 shared paper)Brian Dillon (3 shared papers)Anna Laurinavichyute (1 shared paper)
- Journals
- Journal of Memory and Language (4 papers)Bilingualism Language and Cognition (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)OSF Preprints (OSF Preprints) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Daniela Mertzen
7 papers receiving 215 citations
Peers
Comparison fields: 5 of 46
- Cognitive Neuroscience 144
- Developmental and Educational Psychology 96
- Language and Linguistics 37
- Experimental and Cognitive Psychology 41
- Artificial Intelligence 74
Countries citing papers authored by Daniela Mertzen
This map shows the geographic impact of Daniela Mertzen'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 Daniela Mertzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Mertzen more than expected).
Fields of papers citing papers by Daniela Mertzen
This network shows the impact of papers produced by Daniela Mertzen. 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 Daniela Mertzen. The network helps show where Daniela Mertzen may publish in the future.
Co-authors
The 8 scholars most cited alongside Daniela Mertzen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 113 | |
| 2 | 2019 | 71 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 9 | |
| 5 | 2021 | 8 | |
| 6 | 2024 | 4 | |
| 7 | 2020 | 1 |
About Daniela Mertzen
Daniela Mertzen is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Developmental and Educational Psychology, Social Psychology and Language and Linguistics, having authored 7 papers that have together received 218 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (5 papers), Reading and Literacy Development (2 papers), Topic Modeling (2 papers), Text Readability and Simplification (1 paper), Language Development and Disorders (1 paper), Second Language Acquisition and Learning (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Syntax, Semantics, Linguistic Variation (1 paper). The work is most often cited by research in Cognitive Neuroscience (144 citations), Developmental and Educational Psychology (96 citations), Language and Linguistics (37 citations), Experimental and Cognitive Psychology (41 citations) and Artificial Intelligence (74 citations). Daniela Mertzen has collaborated with scholars based in Germany and United States. Frequent co-authors include Lena A. Jäger, Andrew Gelman, Shravan Vasishth, Julie A. Van Dyke, Ralf Engbert, Sol Lago, Brian Dillon and Anna Laurinavichyute. Their work appears in journals such as Journal of Memory and Language, Bilingualism Language and Cognition, DOAJ (DOAJ: Directory of Open Access Journals) and OSF Preprints (OSF Preprints).
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.