D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Psychology D-index 45 Citations 16,396 267 World Ranking 4582 National Ranking 2628

Research.com Recognitions

Awards & Achievements

2020 - Troland Research Awards, United States National Academy of Sciences For his work revolutionizing our understanding of language acquisition by placing it in its social context.

2011 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Linguistics
  • Artificial intelligence
  • Statistics

Michael C. Frank mostly deals with Cognitive psychology, Cognition, Perception, Developmental psychology and Visual perception. His Cognitive psychology study combines topics in areas such as Context, Pragmatic reasoning, Pragmatics, Social psychology and Vocabulary. His work is dedicated to discovering how Context, Language interpretation are connected with Artificial intelligence and Communication and other disciplines.

His studies deal with areas such as Social psychology, Natural language and Psychological research as well as Cognition. His research in Perception tackles topics such as Categorization which are related to areas like Linguistic relativity, Affect and Color vision. His Developmental psychology research incorporates elements of Eye tracking and Eye movement.

His most cited work include:

  • Estimating the reproducibility of psychological science (3492 citations)
  • Russian blues reveal effects of language on color discrimination (479 citations)
  • Predicting pragmatic reasoning in language games. (394 citations)

What are the main themes of his work throughout his whole career to date?

Michael C. Frank mainly focuses on Cognitive psychology, Linguistics, Artificial intelligence, Natural language processing and Language acquisition. In his research on the topic of Cognitive psychology, Developmental psychology is strongly related with Perception. While the research belongs to areas of Developmental psychology, Michael C. Frank spends his time largely on the problem of Eye tracking, intersecting his research to questions surrounding Eye movement.

Michael C. Frank has researched Artificial intelligence in several fields, including Speech recognition and Constructed language. His work deals with themes such as Word, Text segmentation, Conversation, Probabilistic logic and Word learning, which intersect with Natural language processing. His Language acquisition study combines topics in areas such as Grammar, Meaning and Natural language.

He most often published in these fields:

  • Cognitive psychology (33.09%)
  • Linguistics (22.30%)
  • Artificial intelligence (21.58%)

What were the highlights of his more recent work (between 2019-2021)?

  • Cognitive psychology (33.09%)
  • Artificial intelligence (21.58%)
  • Linguistics (22.30%)

In recent papers he was focusing on the following fields of study:

Michael C. Frank mainly investigates Cognitive psychology, Artificial intelligence, Linguistics, Natural language processing and Open data. The Cognitive psychology study combines topics in areas such as Gaze, Language development, Face, Information seeking and Early childhood. His Language development research is multidisciplinary, incorporating elements of Grey literature, Sign language, Publication bias and Scientific communication.

His work carried out in the field of Linguistics brings together such families of science as Semantic adaptation and Meaning. Michael C. Frank interconnects Psychological science, Speech perception and Preference in the investigation of issues within Open data. His study in Psychological science is interdisciplinary in nature, drawing from both Data collection, Replication and Reproducibility.

Between 2019 and 2021, his most popular works were:

  • Quantifying sources of variability in infancy research using the infant-directed speech preference (35 citations)
  • Variability and Consistency in Early Language Learning: The Wordbank Project (9 citations)
  • SAYCam: A large, longitudinal audiovisual dataset recorded from the infant’s perspective (9 citations)

In his most recent research, the most cited papers focused on:

  • Linguistics
  • Artificial intelligence
  • Statistics

The scientist’s investigation covers issues in Artificial intelligence, Open data, Cognitive psychology, Natural language processing and Artificial neural network. His Artificial intelligence study combines topics from a wide range of disciplines, such as Common ground, Context and Conversation. His Open data research incorporates themes from Language acquisition, Replication, Speech perception, Psychological science and Preference.

His Speech perception research integrates issues from Developmental psychology, Neuroscience of multilingualism and Active listening. Michael C. Frank incorporates Cognitive psychology and Inclusion in his research. His Natural language processing research includes elements of Early language, Context effect, Consistency and Meaning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Estimating the reproducibility of psychological science

Alexander A. Aarts;Joanna E. Anderson;Christopher J. Anderson;Peter R. Attridge;Peter R. Attridge.
Science (2015)

6501 Citations

Russian blues reveal effects of language on color discrimination

Jonathan Winawer;Nathan Witthoft;Nathan Witthoft;Michael C. Frank;Lisa Wu.
Proceedings of the National Academy of Sciences of the United States of America (2007)

1018 Citations

Predicting pragmatic reasoning in language games.

Michael C. Frank;Noah D. Goodman.
Science (2012)

822 Citations

Number as a cognitive technology: evidence from Pirahã language and cognition.

Michael C. Frank;Daniel L. Everett;Evelina Fedorenko;Edward Gibson.
Cognition (2008)

645 Citations

Using Speakers' Referential Intentions to Model Early Cross-Situational Word Learning

Michael C. Frank;Noah D. Goodman;Joshua B. Tenenbaum.
Psychological Science (2009)

433 Citations

Pragmatic Language Interpretation as Probabilistic Inference

Noah D. Goodman;Michael C. Frank.
Trends in Cognitive Sciences (2016)

416 Citations

Development of Infants' Attention to Faces during the First Year.

Michael C. Frank;Edward Vul;Scott P. Johnson.
Cognition (2009)

387 Citations

Wordbank: an open repository for developmental vocabulary data.

Michael C Frank;Mika Braginsky;Daniel Yurovsky;Virginia A Marchman.
Journal of Child Language (2017)

375 Citations

Eye-movements reveal attention to social information in autism spectrum disorder

S. Fletcher-Watson;S.R. Leekam;Valerie Benson;M.C. Frank.
Neuropsychologia (2009)

365 Citations

A Collaborative Approach to Infant Research : Promoting Reproducibility, Best Practices, and Theory-Building

Michael C. Frank;Elika Bergelson;Christina Bergmann;Alejandrina Cristia.
Infancy (2017)

215 Citations

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