What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
His primary scientific interests are in Information retrieval, World Wide Web, Annotation, Computer graphics and Margin.
His works in Query expansion, Relevance, Search engine, Human–computer information retrieval and Concept search are all subjects of inquiry into Information retrieval.
World Wide Web is closely attributed to Pen computing in his research.
His work investigates the relationship between Annotation and topics such as Markup language that intersect with problems in Digital document and Document layout.
His work carried out in the field of Computer graphics brings together such families of science as Engineering drawing, Artificial intelligence, Digital ink and Computer vision.
Gene Golovchinsky has included themes like Construct, Link, Interface and Paper document in his Margin study.
His most cited work include:
- Beyond paper: supporting active reading with free form digital ink annotations (371 citations)
- Systems and methods for freeform annotations (191 citations)
- Algorithmic mediation for collaborative exploratory search (166 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Information retrieval, World Wide Web, Multimedia, Annotation and Artificial intelligence.
In his research, Gene Golovchinsky undertakes multidisciplinary study on Information retrieval and Context.
His work on Hypertext as part of general World Wide Web research is frequently linked to Digital library, thereby connecting diverse disciplines of science.
The various areas that Gene Golovchinsky examines in his Multimedia study include Session, Session and Presentation.
In his study, Object is inextricably linked to Digital ink, which falls within the broad field of Annotation.
He studied Artificial intelligence and Computer vision that intersect with Computer graphics.
He most often published in these fields:
- Information retrieval (38.73%)
- World Wide Web (28.32%)
- Multimedia (13.87%)
What were the highlights of his more recent work (between 2010-2016)?
- Information retrieval (38.73%)
- World Wide Web (28.32%)
- Information seeking (9.25%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Information retrieval, World Wide Web, Information seeking, Human–computer information retrieval and Search analytics.
Gene Golovchinsky integrates Information retrieval with Government in his research.
To a larger extent, Gene Golovchinsky studies Relevance with the aim of understanding Human–computer information retrieval.
His Search analytics research integrates issues from Exploratory search and Semantic search.
The study incorporates disciplines such as Information needs and Human–computer interaction in addition to Exploratory search.
His Semantic search study also includes
- Faceted search and related Multimedia,
- Session together with Distribution.
Between 2010 and 2016, his most popular works were:
- Estimation methods for ranking recent information (109 citations)
- System and Method for Determining a Presence State of a Person (45 citations)
- The future is in the past: designing for exploratory search (34 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Operating system
Gene Golovchinsky spends much of his time researching Information retrieval, Information seeking, World Wide Web, Search analytics and Exploratory search.
His study involves Query expansion and Ranking, a branch of Information retrieval.
Specifically, his work in World Wide Web is concerned with the study of Web search query.
His Search analytics research includes elements of Search interface, Human–computer interaction and Semantic search.
His study in Search interface is interdisciplinary in nature, drawing from both Faceted search, Cognitive models of information retrieval, Session and Multimedia.
His Human–computer interaction research incorporates elements of Human–computer information retrieval and Interface.
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