D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 8,139 159 World Ranking 4241 National Ranking 268

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • The Internet
  • Artificial intelligence

Andrew Monk mostly deals with Human–computer interaction, Usability, Cognitive psychology, Conversation and Task. His work deals with themes such as Multimedia and Activity recognition, which intersect with Human–computer interaction. Andrew Monk combines subjects such as Test, Verbal memory, Short-term memory and Developmental psychology with his study of Cognitive psychology.

The concepts of his Conversation study are interwoven with issues in Resource, Social psychology, Loudness and Mobile phone. His Task study combines topics in areas such as Illusion, Context, Control and Interpersonal communication. The Interaction design study combines topics in areas such as Entertainment, Design fiction and Storytelling, Narrative.

His most cited work include:

  • Funology: from usability to enjoyment (547 citations)
  • Statistical assessment of the learning curves of health technologies. (281 citations)
  • Learning to read: the role of short-term memory and phonological skills. (221 citations)

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

His primary areas of investigation include Human–computer interaction, Multimedia, Task, Context and Artificial intelligence. His work investigates the relationship between Human–computer interaction and topics such as Task analysis that intersect with problems in Telemedicine. He undertakes multidisciplinary studies into Task and Partially observable Markov decision process in his work.

The various areas that Andrew Monk examines in his Context study include User experience design, Cognitive psychology and Conversation. His Conversation research incorporates themes from Social psychology, Storytelling and Gaze. His studies in Artificial intelligence integrate themes in fields like Machine learning, Computer vision and Natural language processing.

He most often published in these fields:

  • Human–computer interaction (27.68%)
  • Multimedia (12.99%)
  • Task (11.86%)

What were the highlights of his more recent work (between 2006-2020)?

  • Human–computer interaction (27.68%)
  • Context (10.73%)
  • Public relations (4.52%)

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

Human–computer interaction, Context, Public relations, Social psychology and Task are his primary areas of study. Andrew Monk works mostly in the field of Human–computer interaction, limiting it down to topics relating to Activity recognition and, in certain cases, Key, as a part of the same area of interest. His Context study integrates concerns from other disciplines, such as Design technology, User experience design and Pragmatics.

Andrew Monk studied User experience design and Elderly population that intersect with Cognitive psychology and Beauty. His Social psychology research includes elements of Conversation, Narrative and Disconnection. His studies deal with areas such as Object, Software, Simulation and Speech synthesis as well as Task.

Between 2006 and 2020, his most popular works were:

  • The Inference of Perceived Usability From Beauty (213 citations)
  • Technological opportunities for supporting people with dementia who are living at home (109 citations)
  • Rapid specification and automated generation of prompting systems to assist people with dementia (88 citations)

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

  • Statistics
  • The Internet
  • Artificial intelligence

His scientific interests lie mostly in Participatory design, Grounded theory, Human–computer interaction, Ubiquitous computing and Public relations. His study in Human–computer interaction is interdisciplinary in nature, drawing from both Speculation and Activity recognition. He has researched Activity recognition in several fields, including Replication, Key and Task.

His Ubiquitous computing study incorporates themes from Multimedia and Activities of daily living. His Multimedia study combines topics from a wide range of disciplines, such as Situated, Design tool, Fidelity and Interaction design. In his study, Bank account and Money order is strongly linked to Cheque, which falls under the umbrella field of Payment service provider.

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

Funology: from usability to enjoyment

Mark A. Blythe;Kees Overbeeke;Andrew F. Monk;Peter C. Wright.
(2005)

860 Citations

Improving your human-computer interface : a practical technique

Andrew Monk.
(1993)

418 Citations

Learning to read: the role of short-term memory and phonological skills.

Siné McDougall;Charles Hulme;Andrew Ellis;Andrew Monk.
Journal of Experimental Child Psychology (1994)

398 Citations

The Inference of Perceived Usability From Beauty

Marc Hassenzahl;Andrew Monk.
Human-Computer Interaction (2010)

378 Citations

Statistical assessment of the learning curves of health technologies.

Craig R Ramsay;Adrian Maxwell Grant;Sheila Ann Wallace;P. H. Garthwaite.
Health Technology Assessment (2001)

327 Citations

Theory of personalization of appearance: why users personalize their pcs and mobile phones

Jan O. Blom;Andrew F. Monk.
Human-Computer Interaction (2003)

290 Citations

Methods & tools: the rich picture: a tool for reasoning about work context

Andrew Monk;Steve Howard.
Interactions (1998)

280 Citations

Evidence for distinct verbal memory pathologies in severely and mildly disturbed schizophrenics.

Avraham Calev;Peter H. Venables;Andrew F. Monk.
Schizophrenia Bulletin (1983)

213 Citations

Assessment of the learning curve in health technologies. A systematic review.

Craig R. Ramsay;Adrian M. Grant;Sheila A. Wallace;Paul H. Garthwaite.
International Journal of Technology Assessment in Health Care (2000)

209 Citations

Funology: designing enjoyment

Andrew Monk;Marc Hassenzahl;Mark Blythe;Darren Reed.
ACM Sigchi Bulletin - A Supplement To Interactions (2002)

208 Citations

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