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David Gelernter

David Gelernter

D-Index & Metrics

Computer Science

D-Index
31
Citations
13626
World Ranking
13330
National Ranking
5332

Overview

David Gelernter is a researcher affiliated with Yale University in the United States. Their academic profile reflects an association with a major research institution, indicating involvement in higher education and scholarly activities.

Although there is no detailed record of recent papers authored by David Gelernter, there are no noted frequent co-authors or publication venues linked to their work in the available data. Likewise, there is no information about book publications or specific fields and subfields of study attributed to this researcher. These absences suggest limited publicly available bibliometric data or a focus on other scholarly contributions beyond documented publications.

There is no listing of main topics of work related to David Gelernter in the provided information. Similarly, no awards or recognitions have been recorded. This profile strictly reflects the data available without assumptions beyond the institutional affiliation.

Best Publications

  • Generative communication in Linda

    David Gelernter

  • Linda in context

    Nicholas Carriero;David Gelernter

  • Coordination languages and their significance

    David Gelernter;Nicholas Carriero

  • How to write parallel programs: a guide to the perplexed

    Nicholas Carriero;David Gelernter

  • Document stream operating system

    Eric Freeman;David H. Gelernter

  • Lifestreams: a storage model for personal data

    Eric Freeman;David Gelernter

  • Lifestreams: an alternative to the desktop metaphor

    Scott Fertig;Eric Freeman;David Gelernter

  • Mirror Worlds: or the Day Software Puts the Universe in a Shoebox...How It Will Happen and What It Will Mean

    David Hillel Gelernter

  • The S/Net's Linda kernel

    Nicholas Carriero;David Gelernter

  • Multiple Tuple Spaces in Linda

    David Gelernter

  • Desktop, stream-based, information management system

    Randy Prager;Peter Sparago;Stephen MarcAurele;David Gelernter

  • Parallel Programming in Linda.

    David Gelernter;Nicholas Carriero;Sarat Chandran;Silva Chang

  • Distributed data structures in Linda

    Nicholas Carriero;David Gelernter;Jerrold Leichter

  • Adaptive parallelism and Piranha

    N. Carriero;E. Freeman;D. Gelernter;D. Kaminsky

  • Traffic engineering with forward fault correction

    Hongqiang Harry Liu;Srikanth Kandula;Ratul Mahajan;Ming Zhang

  • Applications experience with Linda

    Nicholas Carriero;David Gelernter

  • Traffic engineering with forward fault correction

    Unknown

  • The Linda alternative to message-passing systems

    Nicholas J. Carriero;David Gelernter;Timothy G. Mattson;Andrew H. Sherman

  • Bauhaus Linda

    Nicholas Carriero;David Gelernter;Lenore D. Zuck

  • Mirror worlds or the day software puts the universe in a shoebox: how will it happen and what it will mean

    David Gelernter

  • “Finding and reminding” reconsidered

    Scott Fertig;Eric Freeman;David Gelernter

  • Supercomputing out of recycled garbage: preliminary experience with Piranha

    David Gelernter;David Kaminsky

  • Matching language and hardware for parallel computation in the Linda Machine

    S. Ahuja;N.J. Carriero;D.H. Gelernter;V. Krishnaswamy

  • Distributed communication via global buffer

    David Gelernter;Arthur J. Bernstein

  • Coordination languages and their significance

    Unknown

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