D-Index & Metrics Best Publications

D-Index & Metrics

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 43 Citations 7,081 94 World Ranking 3886 National Ranking 1982

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Software

His primary areas of study are Human–computer interaction, Work, World Wide Web, Personal informatics and Machine learning. His Human–computer interaction research incorporates themes from Context and Statistical model. The concepts of his Context study are interwoven with issues in Reliability and Feature selection.

His World Wide Web research is multidisciplinary, incorporating perspectives in Java and Application programming interface. Personal informatics is frequently linked to Data science in his study. He interconnects Artificial intelligence and Social network in the investigation of issues within Machine learning.

His most cited work include:

  • Predicting human interruptibility with sensors (313 citations)
  • Predicting human interruptibility with sensors: a Wizard of Oz feasibility study (273 citations)
  • Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition (185 citations)

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

His primary scientific interests are in Human–computer interaction, World Wide Web, Artificial intelligence, Machine learning and Personal informatics. In his research, Reverse engineering is intimately related to User interface, which falls under the overarching field of Human–computer interaction. His World Wide Web research is multidisciplinary, relying on both Information extraction and Internet privacy.

His work in Active learning and Concept learning are all subfields of Machine learning research. His Personal informatics research incorporates elements of Applied psychology and Data science. His Self tracking research spans across into areas like Everyday life and Knowledge management.

He most often published in these fields:

  • Human–computer interaction (31.34%)
  • World Wide Web (13.43%)
  • Artificial intelligence (11.19%)

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

  • Human–computer interaction (31.34%)
  • Tracking (7.46%)
  • Self tracking (7.46%)

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

James Fogarty spends much of his time researching Human–computer interaction, Tracking, Self tracking, Data collection and Screen reader. The Human–computer interaction study combines topics in areas such as Orientation, Instrumentation and Statistical model. Other disciplines of study, such as Personal informatics, Personal health, Self-monitoring, Family dynamics and Dreamcatcher, are mixed together with his Tracking studies.

His research in Personal informatics intersects with topics in Clinical screening and Applied psychology. His biological study spans a wide range of topics, including Object, Visualization and Software development. James Fogarty has researched Android in several fields, including Software deployment, Image based, Information retrieval, Mobile apps and Source code.

Between 2016 and 2021, his most popular works were:

  • Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools (98 citations)
  • When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating (66 citations)
  • From Personal Informatics to Family Informatics: Understanding Family Practices around Health Monitoring (61 citations)

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

  • Artificial intelligence
  • Operating system
  • Software

James Fogarty mainly investigates Tracking, Personal informatics, Medical education, Applied psychology and Self tracking. His Tracking study spans across into areas like Participatory design, Informatics, Family health, Multimedia and Personal health. His Personal informatics study incorporates themes from Young adult and Menopause.

His work carried out in the field of Medical education brings together such families of science as Context, Irritable bowel syndrome and Food diary. His study brings together the fields of Simulation and Applied psychology. His work in Self tracking incorporates the disciplines of Comprehension, Lived experience, Field, Personally identifiable information and MEDLINE.

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

Predicting human interruptibility with sensors

James Fogarty;Scott E. Hudson;Christopher G. Atkeson;Daniel Avrahami.
ACM Transactions on Computer-Human Interaction (2005)

433 Citations

Predicting human interruptibility with sensors: a Wizard of Oz feasibility study

Scott Hudson;James Fogarty;Christopher Atkeson;Daniel Avrahami.
human factors in computing systems (2003)

384 Citations

Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition

James Fogarty;Carolyn Au;Scott E. Hudson.
user interface software and technology (2006)

261 Citations

A lived informatics model of personal informatics

Daniel A. Epstein;An Ping;James Fogarty;Sean A. Munson.
ubiquitous computing (2015)

248 Citations

HydroSense: infrastructure-mediated single-point sensing of whole-home water activity

Jon E. Froehlich;Eric Larson;Tim Campbell;Conor Haggerty.
ubiquitous computing (2009)

229 Citations

Presence versus availability: the design and evaluation of a context-aware communication client

James Fogarty;Jennifer Lai;Jim Christensen.
International Journal of Human-computer Studies / International Journal of Man-machine Studies (2004)

199 Citations

Examining the robustness of sensor-based statistical models of human interruptibility

James Fogarty;Scott E. Hudson;Jennifer Lai.
human factors in computing systems (2004)

183 Citations

CueFlik: interactive concept learning in image search

James Fogarty;Desney Tan;Ashish Kapoor;Simon Winder.
human factors in computing systems (2008)

182 Citations

Barriers and Negative Nudges: Exploring Challenges in Food Journaling

Felicia Cordeiro;Daniel A. Epstein;Edison Thomaz;Elizabeth Bales.
human factors in computing systems (2015)

175 Citations

Assieme: finding and leveraging implicit references in a web search interface for programmers

Raphael Hoffmann;James Fogarty;Daniel S. Weld.
user interface software and technology (2007)

164 Citations

Best Scientists Citing James Fogarty

Shwetak N. Patel

Shwetak N. Patel

University of Washington

Publications: 36

Anind K. Dey

Anind K. Dey

University of Washington

Publications: 33

Gregory D. Abowd

Gregory D. Abowd

Northeastern University

Publications: 32

Bongshin Lee

Bongshin Lee

Microsoft (United States)

Publications: 30

John A. Carroll

John A. Carroll

University of Sussex

Publications: 25

Eric Horvitz

Eric Horvitz

Microsoft (United States)

Publications: 24

Jacob O. Wobbrock

Jacob O. Wobbrock

University of Washington

Publications: 22

Brad A. Myers

Brad A. Myers

Carnegie Mellon University

Publications: 21

Margaret Burnett

Margaret Burnett

Oregon State University

Publications: 19

Brian P. Bailey

Brian P. Bailey

University of Illinois at Urbana-Champaign

Publications: 19

Mark W. Newman

Mark W. Newman

University of Michigan–Ann Arbor

Publications: 18

Matthew S. Reynolds

Matthew S. Reynolds

University of Washington

Publications: 17

Ashish Kapoor

Ashish Kapoor

Microsoft (United States)

Publications: 17

Tovi Grossman

Tovi Grossman

University of Toronto

Publications: 16

Jason Hong

Jason Hong

Carnegie Mellon University

Publications: 16

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

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