D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 47 Citations 11,787 173 World Ranking 3317 National Ranking 1723

Research.com Recognitions

Awards & Achievements

2008 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • World Wide Web
  • Artificial intelligence
  • The Internet

His main research concerns World Wide Web, Information seeking, Information retrieval, Multimedia and Data science. His World Wide Web study combines topics in areas such as Variety, Context and Library of congress. His research integrates issues of Knowledge management, End user, Task analysis and Human–computer interaction in his study of Information seeking.

Gary Marchionini has researched Information retrieval in several fields, including Key and Database. His Hypermedia study in the realm of Multimedia connects with subjects such as Digital video. His Data science research is multidisciplinary, relying on both Technological change and Exploratory research.

His most cited work include:

  • Information Seeking in Electronic Environments (1486 citations)
  • Exploratory search: from finding to understanding (1147 citations)
  • Finding facts vs. browsing knowledge in hypertext systems (420 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in World Wide Web, Multimedia, Information retrieval, Human–computer interaction and Information seeking. The World Wide Web study combines topics in areas such as Context and Data science. His study in the field of Hypermedia also crosses realms of Digital video.

His study involves Human–computer information retrieval and Relevance, a branch of Information retrieval. Usability and Interface design are the core of his Human–computer interaction study. His study on Information seeking is mostly dedicated to connecting different topics, such as Knowledge management.

He most often published in these fields:

  • World Wide Web (38.61%)
  • Multimedia (23.94%)
  • Information retrieval (18.15%)

What were the highlights of his more recent work (between 2008-2020)?

  • World Wide Web (38.61%)
  • Information retrieval (18.15%)
  • Multimedia (23.94%)

In recent papers he was focusing on the following fields of study:

Gary Marchionini mainly investigates World Wide Web, Information retrieval, Multimedia, Information seeking and Knowledge management. His biological study spans a wide range of topics, including Context and Virtual world. His work in the fields of Video retrieval and Human–computer information retrieval overlaps with other areas such as Design rationale.

Gary Marchionini studied Multimedia and Session that intersect with Web searching. His Information seeking research is multidisciplinary, incorporating perspectives in Cognitive models of information retrieval, Emerging technologies, Search engine, Exploratory search and Data science. His Knowledge management research incorporates themes from Collaborative information seeking and Medical education.

Between 2008 and 2020, his most popular works were:

  • Awareness in collaborative information seeking (74 citations)
  • Tools-at-hand and learning in multi-session, collaborative search (49 citations)
  • Social Monitoring for Public Health (40 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • World Wide Web

Gary Marchionini focuses on Information seeking, Human–computer interaction, Data science, Knowledge management and Collaborative information seeking. His Information seeking research includes elements of Exploratory search, World Wide Web and Search engine. His specific area of interest is World Wide Web, where he studies Search analytics.

Gary Marchionini combines subjects such as Variety, Human–computer information retrieval and Session with his study of Search engine. His Data science study which covers Emerging technologies that intersects with Information needs. Gary Marchionini has included themes like Test, Space, Usability and Social group in his Knowledge management study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Information Seeking in Electronic Environments

Gary Marchionini.
(1995)

3072 Citations

Exploratory search: from finding to understanding

Gary Marchionini.
Communications of The ACM (2006)

1866 Citations

Finding facts vs. browsing knowledge in hypertext systems

G. Marchionini;B. Shneiderman.
IEEE Computer (1988)

762 Citations

Information-seeking strategies of novices using a full-text electronic encyclopedia

Gary Marchionini.
Journal of the Association for Information Science and Technology (1989)

706 Citations

A self-organizing semantic map for information retrieval

Xia Lin;Dagobert Soergel;Gary Marchionini.
international acm sigir conference on research and development in information retrieval (1991)

640 Citations

Hypermedia and learning: freedom and chaos

Gary Marchionini.
Educational Technology archive (1988)

494 Citations

A study on video browsing strategies

Wei Ding;Gary Marchionini.
(1997)

414 Citations

The roles of digital libraries in teaching and learning

Gary Marchionini;Hermann Maurer.
Communications of The ACM (1995)

309 Citations

Interfaces for end-user information seeking

Gary Marchionini.
Journal of the Association for Information Science and Technology (1992)

280 Citations

Evaluating Digital Libraries: A Longitudinal and Multifaceted View.

Gary Marchionini.
Library Trends (2000)

227 Citations

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Nicholas J. Belkin

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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