School of Communication and Information (Rutgers University) - Core Faculty Members - Library and Information Science

Library and Information Science

  • Nicholas Belkin (Information Science)
  • Kay Cassell (Reference and Information Science)
  • Marija Dalbello (Social History of Knowledge, Documents, Collections)
  • Carol Gordon (Information Science)
  • Jacek Gwizdka (Information Science, Human-Computer Interaction)
  • Lydia Eato Harris
  • Waller A. Hastings (Children's Literature)
  • Paul Kantor (Information and Computer Science and Operations Research)
  • Michael Lesk (Information Science)
  • Ya-Ling Lu (Information Science)
  • Claire R. Mclnerney (Information Science, Information and Communication Technology, Social Informatics)
  • Stewart Mohr (Knowledge Management, Information Science)
  • Smaranda Muresan (Natural Language Processing, Digital Libraries)
  • Mor Naaman (Social Media, Mobile, Multimedia, Location-Based Information)
  • Daniel O. O'Connor (Information Science)
  • Lilia Pavlovsky (Information Science, Social Computing, Distance Learning)
  • Marie L. Radford (Interpersonal/Small Group Communication)
  • Tefko Saracevic (Information Science)
  • Jorge Reina Schement (Communication, Information Science, Latino-Hispanic Caribbean Studies, Public Policy)
  • Chirag Shah (Information Seeking, Social Media)
  • Anselm Spoerri (Information Science)
  • Ross J Todd (Information Science)
  • Jana Varlejs (Information Science)
  • Nina Wacholder (Natural Language Processing, Information Access, Organizing Information, Information Systems)
  • Xiangmin Zhang (Information Science)

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Other articles related to "library and information science, library and information sciences, information science, information, library":

Secondary Source - Classification - In Science and Technology - Library and Information Science
... In library and information sciences, secondary sources are generally regarded as those sources that summarize or add commentary to primary sources in the context of the particular ...
Relevance - Library and Information Science
... Recall = a (a + c) X 100%, where a = number of retrieved, relevant documents, c = number of non-retrieved, relevant documents (sometimes termed "silence") ... Recall is thus an expression of how exhaustive a search for documents is ...
Library And Information Science - Common Subfields
... Information science General aspects Information access · Information architecture Information management Information retrieval Information seeking · Information society Knowledge organization ... Library studies c ... Information architecture d ...

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