World's Best Scientists 2026 revealed!

D-Index & Metrics

Psychology

D-Index
55
Citations
37485
World Ranking
4280
National Ranking
2379

Overview

Jeffrey L. Elman was affiliated with the University of California, San Diego in the United States. Their research spanned multiple areas within psychology, particularly focusing on developmental and educational psychology, with additional contributions in management science and operations research, statistical and nonlinear physics, artificial intelligence, and molecular biology.

The scientist's work concentrated on several main topics, including language development and disorders, child and animal learning development, reading and literacy development, data quality and management, complex network analysis techniques, advanced graph neural networks, and bioinformatics and genomic networks.

Jeffrey L. Elman had a body of recent papers published between 2021 and 2025. These included:

  • "Toddlers' Ability to Leverage Statistical Information to Support Word Learning," 2021, Frontiers in Psychology
  • "Using Network Science to Provide Insights into the Structure of Event Knowledge," 2023, SSRN Electronic Journal
  • "Using network science to provide insights into the structure of event knowledge," 2024, Cognition
  • "Apple Intelligence Foundation Language Models: Tech Report 2025," 2025, arXiv (Cornell University)

Their publications appeared in journals and platforms such as Frontiers in Psychology, SSRN Electronic Journal, Cognition, and arXiv (Cornell University).

Throughout their career, Jeffrey L. Elman frequently collaborated with a consistent group of co-authors. These included Kevin Brown, Kara E. Hannah, Nickolas Christidis, Mikayla Hall-Bruce, and Ryan A. Stevenson.

Best Publications

  • The TRACE model of speech perception.

    James L McClelland;Jeffrey L Elman

  • Learning and development in neural networks: the importance of starting small

    Jeffrey L. Elman

  • Distributed Representations, Simple Recurrent Networks, And Grammatical Structure

    Jeffrey L. Elman

  • An alternative view of the mental lexicon

    Jeffrey L Elman

  • Coherence and Coreference Revisited.

    Andrew Kehler;Laura Kertz;Hannah Rohde;Jeffrey L. Elman

  • Frequency of Basic English Grammatical Structures: A Corpus Analysis

    Douglas Roland;Frederic Dick;Frederic Dick;Jeffrey L. Elman

  • On the meaning of words and dinosaur bones: Lexical knowledge without a lexicon.

    Jeffrey L. Elman

  • Learning and evolution in neural networks

    Stefano Nolfi;Domenico Parisi;Jeffrey L. Elman

  • Knowing a lot for one's age: Vocabulary skill and not age is associated with anticipatory incremental sentence interpretation in children and adults

    Arielle Borovsky;Jeffrey L. Elman;Anne Fernald

  • Cognitive penetration of the mechanisms of perception: Compensation for coarticulation of lexically restored phonemes

    Jeffrey L Elman;James L McClelland

  • Proceedings of the 29th Annual Conference of the Cognitive Science Society

    Hannah Rohde;Andrew Kehler;Jeffrey Elman

  • Interactive processes in speech perception: the TRACE model

    J. L. McClelland;J. L. Elman

  • Learning and morphological change

    Mary Hare;Jeffrey L. Elman

  • A basis for generating expectancies for verbs from nouns

    Ken Mcrae;Mary Hare;Jeffrey L. Elman;Todd Ferretti

  • Language as a dynamical system

    Jeffrey L. Elman

  • Effects of frequency-shifted feedback on the pitch of vocal productions.

    Jeffrey L. Elman

  • Generalized event knowledge activation during online sentence comprehension

    Ross Metusalem;Marta Kutas;Thomas P. Urbach;Mary Hare

  • Sense and structure: Meaning as a determinant of verb subcategorization preferences

    Mary Hare;Ken McRae;Jeffrey L. Elman

  • Learnability and the Statistical Structure of Language: Poverty of Stimulus Arguments Revisited

    John D. Lewis;Jeffrey L. Elman

  • Do infants learn grammar with algebra or statistics

    Mark S. Seidenberg;Jeff L. Elman

Frequent Co-Authors

Ken McRae
Ken McRae University of Western Ontario
Marta Kutas
Marta Kutas University of California, San Diego
James L. McClelland
James L. McClelland Stanford University
Julia L. Evans
Julia L. Evans The University of Texas at Dallas
Kim Plunkett
Kim Plunkett University of Oxford
Elizabeth Bates
Elizabeth Bates University of California, San Diego
Anne Fernald
Anne Fernald Stanford University
Annette Karmiloff-Smith
Annette Karmiloff-Smith Birkbeck, University of London
David C. Plaut
David C. Plaut Carnegie Mellon University
Frederic Dick
Frederic Dick Birkbeck, University of London

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Related Online Degrees & Career Pathways

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No matter your location, pursuing an online psychology degree can be a flexible way to meet these requirements and launch a fulfilling career helping students succeed.

Best Scientists Citing Jeffrey L. Elman