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Shravan Vasishth

Shravan Vasishth

D-Index & Metrics

Psychology

D-Index
51
Citations
12413
World Ranking
5166
National Ranking
237

Overview

Shravan Vasishth is affiliated with the University of Potsdam in Germany. Their research spans multiple disciplines, primarily focusing on neuroscience, psychology, and computer science. The scientist's main fields of study include:

  • Neuroscience
  • Psychology
  • Computer Science

Their work also intersects with several subfields such as cognitive neuroscience, developmental and educational psychology, artificial intelligence, language and linguistics, and experimental and cognitive psychology. The key subfields of their research are:

  • Cognitive Neuroscience
  • Developmental and Educational Psychology
  • Artificial Intelligence
  • Language and Linguistics
  • Experimental and Cognitive Psychology

The main topics that characterize the scientist's research corpus include:

  • Neurobiology of Language and Bilingualism
  • Reading and Literacy Development
  • Topic Modeling
  • Text Readability and Simplification
  • Syntax, Semantics, Linguistic Variation
  • Neural and Behavioral Psychology Studies
  • Language Development and Disorders

Shravan Vasishth has contributed frequently to a range of academic journals, with multiple publications in:

  • Journal of Memory and Language
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Cognitive Science
  • Psychological Methods

The scientist's collaboration network includes several frequent coauthors. These scholars have collaborated in their publications multiple times and include:

  • Bruno Nicenboim
  • Dario Paape
  • Felix Engelmann
  • Daniel J. Schad
  • Kate Stone

Among the notable papers authored by Shravan Vasishth are:

  • "What did we learn from forty years of research on semantic interference? A Bayesian meta-analysis" (2020) published in Journal of Memory and Language
  • "Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data" (2020) published in Neuropsychologia
  • "Workflow techniques for the robust use of bayes factors." (2022) published in Psychological Methods
  • "Does case marking affect agreement attraction in comprehension?" (2020) published in Journal of Memory and Language
  • "How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis" (2021) published in Linguistics

The scientist has also contributed to academic book literature, including a publication with Cambridge University Press titled Sentence Comprehension as a Cognitive Process (2021).

Best Publications

  • Balancing Type I Error and Power in Linear Mixed Models

    Hannes Matuschek;Reinhold Kliegl;Shravan Vasishth;Harald R. Baayen

  • An Activation-Based Model of Sentence Processing as Skilled Memory Retrieval

    Richard L. Lewis;Shravan Vasishth

  • Computational principles of working memory in sentence comprehension.

    Richard L. Lewis;Shravan Vasishth;Julie A. Van Dyke

  • How to capitalize on a priori contrasts in linear (mixed) models: A tutorial

    Daniel J. Schad;Shravan Vasishth;Sven Hohenstein;Reinhold Kliegl

  • Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus

    Marisa Ferrara Boston;John Hale;Reinhold Kliegl;Umesh Patil

  • Argument-Head Distance and Processing Complexity: Explaining both Locality and Antilocality Effects

    Shravan Vasishth;Richard L. Lewis

  • The cave of shadows: Addressing the human factor with generalized additive mixed models

    Harald Baayen;Shravan Vasishth;Reinhold Kliegl;Douglas Bates

  • Processing Polarity: How the Ungrammatical Intrudes on the Grammatical

    Shravan Vasishth;Sven Brüssow;Richard L Lewis;Heiner Drenhaus

  • Similarity-based interference in sentence comprehension: Literature review and Bayesian meta-analysis

    Lena A. Jäger;Felix Engelmann;Shravan Vasishth;Shravan Vasishth

  • Toward a principled Bayesian workflow in cognitive science.

    Daniel J Schad;Michael Betancourt;Shravan Vasishth

  • Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

    Tanner Sorensen;Sven Hohenstein;Shravan Vasishth

  • The statistical significance filter leads to overoptimistic expectations of replicability

    Shravan Vasishth;Daniela Mertzen;Lena A. Jäger;Andrew Gelman

  • Short-term forgetting in sentence comprehension: Crosslinguistic evidence from verb-final structures

    Shravan Vasishth;Katja Suckow;Richard L. Lewis;Sabine Kern

  • Processing Chinese Relative Clauses: Evidence for the Subject-Relative Advantage

    Shravan Vasishth;Shravan Vasishth;Zhong Chen;Qiang Li;Gueilan Guo

  • Parallel Processing and Sentence Comprehension Difficulty.

    Marisa Ferrara Boston;John T. Hale;Shravan Vasishth;Reinhold Kliegl

  • What is the scanpath signature of syntactic reanalysis

    Titus von der Malsburg;Shravan Vasishth

  • In search of on-line locality effects in sentence comprehension.

    Brian Bartek;Richard L. Lewis;Shravan Vasishth;Mason R. Smith

  • Focus, Word Order and Intonation in Hindi

    Umesh Patil;Gerrit Kentner;Anja Gollrad;Frank Kuegler

  • The subject-relative advantage in Chinese: Evidence for expectation-based processing

    Lena Jäger;Zhong Chen;Qiang Li;Qiang Li;Chien-Jer Charles Lin

  • Strong expectations cancel locality effects: evidence from Hindi.

    Samar Husain;Shravan Vasishth;Narayanan Srinivasan

  • Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

    Tanner Sorensen;Shravan Vasishth

  • Scanpaths reveal syntactic underspecification and reanalysis strategies

    Titus von der Malsburg;Shravan Vasishth

  • Interference patterns in subject-verb agreement and reflexives revisited: A large-sample study

    Lena A. Jäger;Daniela Mertzen;Julie A. Van Dyke;Shravan Vasishth

  • Topics in Cognitive Science

    Wayne D. Gray;John Hale;David Reitter;Jennifer Culbertson

Frequent Co-Authors

Reinhold Kliegl
Reinhold Kliegl University of Potsdam
Narayanan Srinivasan
Narayanan Srinivasan Indian Institute of Technology Kanpur
Frank Rösler
Frank Rösler Universität Hamburg
David Caplan
David Caplan Harvard University
Mariano Sigman
Mariano Sigman Consejo Nacional de Investigaciones Científicas y Técnicas
Fernanda Ferreira
Fernanda Ferreira University of California, Davis
Sarah Brown-Schmidt
Sarah Brown-Schmidt Vanderbilt University
Isabell Wartenburger
Isabell Wartenburger University of Potsdam

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