What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
His main research concerns Information retrieval, World Wide Web, Case based planning, Information system and Artificial intelligence.
His research in Information retrieval intersects with topics in Knowledge base, Similarity, Resource, Context and Case-based reasoning.
His work on Web navigation, The Internet and Information space as part of general World Wide Web study is frequently linked to Group, bridging the gap between disciplines.
His Case based planning study combines topics from a wide range of disciplines, such as Memory task, Management science and Human–computer interaction.
His work deals with themes such as Information filtering system, Cognitive models of information retrieval and Task, which intersect with Information system.
His work is dedicated to discovering how Artificial intelligence, Domain are connected with Debugging and other disciplines.
His most cited work include:
- Case-Based Planning: Viewing Planning as a Memory Task (482 citations)
- Question Answering from Frequently Asked Question Files: Experiences with the FAQ Finder System (471 citations)
- User interactions with everyday applications as context for just-in-time information access (348 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in World Wide Web, Information retrieval, Artificial intelligence, Multimedia and Context.
His World Wide Web research incorporates elements of User interface and Information system.
His Information system research is multidisciplinary, relying on both Information filtering system and Human–computer information retrieval.
The concepts of his Information retrieval study are interwoven with issues in Web page and Task.
His study looks at the relationship between Artificial intelligence and topics such as Plan, which overlap with Planner, Management science and Software engineering.
His Multimedia study deals with Narrative intersecting with Event.
He most often published in these fields:
- World Wide Web (28.21%)
- Information retrieval (26.67%)
- Artificial intelligence (15.38%)
What were the highlights of his more recent work (between 2009-2020)?
- Narrative (9.74%)
- Multimedia (13.33%)
- World Wide Web (28.21%)
In recent papers he was focusing on the following fields of study:
Narrative, Multimedia, World Wide Web, Human–computer interaction and Applied artificial intelligence are his primary areas of study.
His studies in Narrative integrate themes in fields like Event, Natural language generation and Parsing.
In his study, Digital content, Natural language, Section and Conversation is inextricably linked to Presentation, which falls within the broad field of Multimedia.
His World Wide Web research is multidisciplinary, incorporating perspectives in Information retrieval and Flexibility.
His studies deal with areas such as Word and Context as well as Information retrieval.
His Human–computer interaction research incorporates themes from Speech input, Narrative structure and Interface.
Between 2009 and 2020, his most popular works were:
- Method and system for assessing relevant properties of work contexts for use by information services (115 citations)
- System and method for using data and angles to automatically generate a narrative story (57 citations)
- Method and apparatus for triggering the automatic generation of narratives (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Programming language
Kristian J. Hammond mainly focuses on Narrative, Multimedia, Applied artificial intelligence, Event and A domain.
Kristian J. Hammond interconnects Programming language, Parsing, Executable, Engineering drawing and Rendering in the investigation of issues within Narrative.
Kristian J. Hammond performs multidisciplinary studies into Engineering drawing and Structure in his work.
His Multimedia research includes elements of Analytics and Data structure.
Kristian J. Hammond has researched Event in several fields, including Media studies, Data-driven, Order and Natural language generation.
His A domain research incorporates a variety of disciplines, including Computer graphics and Focus.
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