H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 76 Citations 45,923 271 World Ranking 567 National Ranking 345

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Human–computer interaction

His primary scientific interests are in Human–computer interaction, Ubiquitous computing, Mobile computing, Artificial intelligence and World Wide Web. His work deals with themes such as Context awareness, Multimedia, Intelligibility and Context model, which intersect with Human–computer interaction. The Context model study which covers Context management that intersects with Interactive computing, Context effect and Context-aware services.

In the subject of general Ubiquitous computing, his work in Context-aware pervasive systems is often linked to Graphical user interface, thereby combining diverse domains of study. His biological study spans a wide range of topics, including Interaction design, Personalization, Privacy by Design, Information flow and Set. His study in the fields of Principle of maximum entropy under the domain of Artificial intelligence overlaps with other disciplines such as Pedestrian.

His most cited work include:

  • Understanding and Using Context (4116 citations)
  • Towards a Better Understanding of Context and Context-Awareness (3765 citations)
  • A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications (2627 citations)

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

His scientific interests lie mostly in Human–computer interaction, Ubiquitous computing, Artificial intelligence, Multimedia and World Wide Web. Anind K. Dey mostly deals with Usability in his studies of Human–computer interaction. His Ubiquitous computing research incorporates themes from Context awareness and Mobile device.

His Artificial intelligence study incorporates themes from Machine learning and Computer vision. His study of Wearable technology is a part of Wearable computer.

He most often published in these fields:

  • Human–computer interaction (37.54%)
  • Ubiquitous computing (23.81%)
  • Artificial intelligence (15.69%)

What were the highlights of his more recent work (between 2016-2021)?

  • Human–computer interaction (37.54%)
  • Artificial intelligence (15.69%)
  • Machine learning (8.68%)

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

Human–computer interaction, Artificial intelligence, Machine learning, Wearable computer and Data science are his primary areas of study. His work deals with themes such as Eye tracking and Keyboard Typing, which intersect with Human–computer interaction. His Artificial intelligence study incorporates themes from Speech recognition and Focus.

His work carried out in the field of Machine learning brings together such families of science as Psychological intervention, Generalizability theory, Task analysis, Personality and Mental health. His Wearable technology and Activity tracker study in the realm of Wearable computer connects with subjects such as Research studies and Data type. His Data science research is multidisciplinary, incorporating perspectives in Value of information and Social media.

Between 2016 and 2021, his most popular works were:

  • Mobile phone sensors and supervised machine learning to identify alcohol use events in young adults: Implications for just-in-time adaptive interventions. (47 citations)
  • The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers (28 citations)
  • Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors (26 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

His main research concerns Artificial intelligence, Machine learning, Wearable computer, Psychological intervention and Human–computer interaction. His Artificial intelligence research integrates issues from Speech recognition, Typing, Focus and Text entry. His work on Association rule learning as part of general Machine learning research is often related to Metric, thus linking different fields of science.

The various areas that Anind K. Dey examines in his Wearable computer study include User interface design, Natural user interface, User experience evaluation and Data stream. Anind K. Dey has researched Psychological intervention in several fields, including Domain, Human behavior, Mobile phone, Young adult and Behavioral pattern. His Human–computer interaction study integrates concerns from other disciplines, such as Popularity and Personally identifiable information.

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.

Top Publications

Towards a Better Understanding of Context and Context-Awareness

Gregory D. Abowd;Anind K. Dey;Peter J. Brown;Nigel Davies.
ubiquitous computing (1999)

6963 Citations

Understanding and Using Context

Anind K. Dey.
ubiquitous computing (2001)

6849 Citations

A conceptual framework and a toolkit for supporting the rapid prototyping of context-aware applications

Anind K. Dey;Gregory D. Abowd;Daniel Salber.
Human-Computer Interaction (2001)

4179 Citations

Providing architectural support for building context-aware applications

Anind Kumar Dey;Gregory D. Abowd.
(2000)

1713 Citations

The context toolkit: aiding the development of context-enabled applications

Daniel Salber;Anind K. Dey;Gregory D. Abowd.
human factors in computing systems (1999)

1505 Citations

Maximum entropy inverse reinforcement learning

Brian D. Ziebart;Andrew Maas;J. Andrew Bagnell;Anind K. Dey.
national conference on artificial intelligence (2008)

1464 Citations

A stage-based model of personal informatics systems

Ian Li;Anind Dey;Jodi Forlizzi.
human factors in computing systems (2010)

862 Citations

Heuristic evaluation of ambient displays

Jennifer Mankoff;Anind K. Dey;Gary Hsieh;Julie Kientz.
human factors in computing systems (2003)

689 Citations

Location-Based Services for Mobile Telephony: a study of users' privacy concerns

Louise Barkhuus;Anind K. Dey.
international conference on human-computer interaction (2003)

685 Citations

CybreMinder: A Context-Aware System for Supporting Reminders

Anind K. Dey;Gregory D. Abowd.
ubiquitous computing (2000)

515 Citations

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

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