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.
