World's Best Scientists 2026 revealed!
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Computer Science
France
2023

D-Index & Metrics

Computer Science

D-Index
49
Citations
15933
World Ranking
5763
National Ranking
2621

Research.com Recognitions

  • 2023 - Research.com Computer Science in France Leader Award

Overview

James E. Pitkow is affiliated with the Palo Alto Research Center in the United States. Their professional focus is within the domain of academic research and scientific inquiry.

There are no specific recent papers listed under their name, nor data on frequent co-authors or publication venues. Details regarding book publications, main and subfields of study, as well as main topics of work, are not available for this researcher.

There is no information about awards won or distinctions received by James E. Pitkow documented here.

The available data does not provide specific details on areas of research, collaboration networks, or publication patterns, limiting insights into the scope and impact of their scientific contributions. However, their affiliation with a prominent research center indicates involvement in research activities relevant to that institution's scope.

Best Publications

  • Characterizing browsing strategies in the World-Wide Web

    Lara D. Catledge;James E. Pitkow

  • Strong Regularities in World Wide Web Surfing

    Bernardo A. Huberman;Peter L. T. Pirolli;James E. Pitkow;Rajan M. Lukose

  • Silk from a sow's ear: extracting usable structures from the Web

    Peter Pirolli;James Pitkow;Ramana Rao

  • Using information scent to model user information needs and actions and the Web

    Ed H. Chi;Peter Pirolli;Kim Chen;James Pitkow

  • System and method for searching and recommending objects from a categorically organized information repository

    James B. Pitkow;Hinrich Schuetze

  • Personalized search

    James Pitkow;Hinrich Schütze;Todd Cass;Rob Cooley

  • System and method for searching and recommending documents in a collection using shared bookmarks

    Eytan Adar;Thomas M. Breuel;Todd A. Cass;James E. Pitkow

  • System and method for clustering data objects in a collection

    Hinrich Schuetze;Peter L. Pirolli;James E. Pitkow;Ed H. Chi

  • Mining longest repeating subsequences to predict world wide web surfing

    James Pitkow;Peter Pirolli

  • Emerging trends in the WWW user population

    James E. Pitkow;Colleen M. Kehoe

  • System and method for providing recommendations based on multi-modal user clusters

    Hinrich Schuetze;James E. Pitkow;Peter L. Pirolli;Ed H. Chi

  • Prefetching and caching documents according to probability ranked need S list

    Peter L. Pirolli;James E. Pitkow

  • Summary of WWW characterizations

    James E. Pitkow

  • In search of reliable usage data on the WWW

    James Pitkow

  • The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site

    Ed H. Chi;Peter Pirolli;James Pitkow

  • System and method for quantitatively representing data objects in vector space

    Hinrich Schuetze;Francine R. Chen;Peter L. Pirolli;James E. Pitkow

  • System for categorizing documents in a linked collection of documents

    Peter L. Pirolli;James E. Pitkow;Ramana B. Rao

  • Visualizing the evolution of Web ecologies

    Ed H. Chi;James Pitkow;Jock Mackinlay;Peter Pirolli

  • Characterizing Browsing Behaviors on the World-Wide Web

    Lara D. Catledge;James Edward Pitkow

  • Using the Web as a survey tool: results from the second WWW user survey

    James E. Pitkow;Margaret M. Recker

Frequent Co-Authors

Ed H. Chi
Ed H. Chi Google (United States)
Peter Pirolli
Peter Pirolli Florida Institute for Human and Machine Cognition
Jock D. Mackinlay
Jock D. Mackinlay Tableau Software (United States)
Francine R. Chen
Francine R. Chen FX Palo Alto Laboratory
Thomas M. Breuel
Thomas M. Breuel Nvidia (United States)
Stuart K. Card
Stuart K. Card Stanford University
Richard Carl Gossweiler
Richard Carl Gossweiler Google (United States)
Eytan Adar
Eytan Adar University of Michigan–Ann Arbor

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