Mike Frank
Impact in
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- Language Development and Disorders
- Reading and Literacy Development
- Child and Animal Learning Development
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- Language, Metaphor, and Cognition
Papers in
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- Speech and dialogue systems 2
- Intelligent Tutoring Systems and Adaptive Learning 1
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- Language Development and Disorders 3
- Reading and Literacy Development 2
- Child and Animal Learning Development 2
- Co-authors
- Daniel Yurovsky (2 shared papers)Virginia A. Marchman (1 shared paper)Mika Braginsky (1 shared paper)Rose M. Schneider (1 shared paper)Sebastiano Santostefano (1 shared paper)Kyle MacDonald (1 shared paper)Erica J. Yoon (1 shared paper)Benjamin Börschinger (1 shared paper)
- Journals
- Cognitive Science (8 papers)Canadian Review of American Studies (1 paper)PubMed (2 papers)
- Partner nations
- United States
In The Last Decade
Mike Frank
10 papers receiving 84 citations
Peers
Comparison fields: 5 of 35
- Developmental and Educational Psychology 57
- Experimental and Cognitive Psychology 18
- Applied Psychology 5
- General Decision Sciences 2
- Cognitive Neuroscience 20
Countries citing papers authored by Mike Frank
This map shows the geographic impact of Mike Frank'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 Mike Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Frank more than expected).
Fields of papers citing papers by Mike Frank
This network shows the impact of papers produced by Mike Frank. 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 Mike Frank. The network helps show where Mike Frank may publish in the future.
Co-authors
The 19 scholars most cited alongside Mike Frank, 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 | From uh-oh to tomorrow: Predicting age of acquisition for early words across languages. | 2016 | 25 |
| 2 | A pragmatic account of the processing of negative sentences | 2014 | 18 |
| 3 | Large-scale investigations of variability in children's first words. | 2015 | 15 |
| 4 | Abdominal pain in hereditary angioedema: the role of acid hypersecretion. | 1989 | 9 |
| 5 | Children's anticipation of impending surgery. Shifts in object-representational paradigms. | 1989 | 8 |
| 6 | Distinguishing processing difficulties in inhibition, implicature, and negation. | 2016 | 6 |
| 7 | When does passive learning improve the effectiveness of active learning | 2016 | 6 |
| 8 | Modeling online word segmentation performance in structured artificial languages | 2012 | 3 |
| 9 | Determining the alternatives for scalar implicature. | 2016 | 2 |
| 10 | Tutorial: Meta-Analytic Methods for Cognitive Science. | 2016 | 1 |
| 11 | 1976 | 0 |
About Mike Frank
Mike Frank is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Cognitive Neuroscience, Communication and Genetics, having authored 11 papers that have together received 93 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (3 papers), Language Development and Disorders (3 papers), Reading and Literacy Development (2 papers), Speech and dialogue systems (2 papers), Child and Animal Learning Development (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper) and Psychological Testing and Assessment (1 paper). The work is most often cited by research in Developmental and Educational Psychology (57 citations), Experimental and Cognitive Psychology (18 citations), Applied Psychology (5 citations), General Decision Sciences (2 citations) and Cognitive Neuroscience (20 citations). Mike Frank has collaborated with scholars based in United States. Frequent co-authors include Daniel Yurovsky, Virginia A. Marchman, Mika Braginsky, Rose M. Schneider, Sebastiano Santostefano, Kyle MacDonald, Erica J. Yoon, Benjamin Börschinger, James H. Lewis and John Zurlo. Their work appears in journals such as Cognitive Science, Canadian Review of American Studies and PubMed.
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.