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
Psychology D-index 76 Citations 30,038 341 World Ranking 1180 National Ranking 739
Neuroscience D-index 80 Citations 32,444 471 World Ranking 905 National Ranking 492

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the American Academy of Arts and Sciences

2002 - Fellow of the American Association for the Advancement of Science (AAAS)

1996 - Fellow of the American Psychological Association (APA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Cognition
  • Perception

Jeremy M. Wolfe mainly investigates Visual search, Artificial intelligence, Perception, Communication and Cognitive psychology. Jeremy M. Wolfe conducts interdisciplinary study in the fields of Visual search and Process through his works. His Artificial intelligence research integrates issues from Computer vision and Pattern recognition.

His biological study spans a wide range of topics, including Memoria, Cognition, Prevalence effect, Developmental psychology and Statistics. The various areas that Jeremy M. Wolfe examines in his Communication study include Binding problem and Visual attention. His Identification research incorporates themes from Depth perception, Visual field and Human visual system model.

His most cited work include:

  • Guided Search 2.0 A revised model of visual search. (2832 citations)
  • Guided Search 2.0 A revised model of visual search. (2832 citations)
  • Guided search: an alternative to the feature integration model for visual search. (1705 citations)

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

Visual search, Artificial intelligence, Computer vision, Cognitive psychology and Communication are his primary areas of study. His studies deal with areas such as Visual perception, Perception, Task, Information retrieval and Set as well as Visual search. The study of Perception is intertwined with the study of Cognition in a number of ways.

The concepts of his Artificial intelligence study are interwoven with issues in Natural language processing and Pattern recognition. His Cognitive psychology research includes themes of Social psychology, Experimental psychology, Foraging, Eye movement and Psychophysics. His research on Communication often connects related topics like Visual attention.

He most often published in these fields:

  • Visual search (63.28%)
  • Artificial intelligence (52.12%)
  • Computer vision (33.84%)

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

  • Visual search (63.28%)
  • Artificial intelligence (52.12%)
  • Cognitive psychology (27.58%)

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

His primary areas of study are Visual search, Artificial intelligence, Cognitive psychology, Computer vision and Foraging. Jeremy M. Wolfe combines subjects such as Speech recognition, Task, Experimental psychology, Information retrieval and Set with his study of Visual search. His Information retrieval study frequently involves adjacent topics like Visual attention.

His work carried out in the field of Artificial intelligence brings together such families of science as Machine learning and Pattern recognition. His biological study spans a wide range of topics, including Stimulus, Social psychology, Perception and Eye movement. His work in Computer vision is not limited to one particular discipline; it also encompasses Communication.

Between 2016 and 2021, his most popular works were:

  • Five factors that guide attention in visual search (271 citations)
  • Radiologists can detect the `gist' of breast cancer before any overt signs of cancer appear (21 citations)
  • What is a preattentive feature (20 citations)

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

Guided Search 2.0 A revised model of visual search

Jeremy M. Wolfe;Jeremy M. Wolfe.
Psychonomic Bulletin & Review (1994)

4504 Citations

Guided search: an alternative to the feature integration model for visual search.

Jeremy M. Wolfe;Kyle R. Cave;Susan L. Franzel.
Journal of Experimental Psychology: Human Perception and Performance (1989)

2697 Citations

What attributes guide the deployment of visual attention and how do they do it

Jeremy M. Wolfe;Todd S. Horowitz.
Nature Reviews Neuroscience (2004)

2172 Citations

Guided Search 4.0: Current Progress With a Model of Visual Search.

Jeremy M. Wolfe.
Integrated Models of Cognitive Systems (2007)

992 Citations

What Can 1 Million Trials Tell Us About Visual Search

Jeremy M. Wolfe.
Psychological Science (1998)

941 Citations

Modeling the role of parallel processing in visual search.

Kyle R Cave;Jeremy M Wolfe.
Cognitive Psychology (1990)

905 Citations

Visual search has no memory

Todd S. Horowitz;Jeremy M. Wolfe.
Nature (1998)

763 Citations

The order of visual processing: "Top-down," "bottom-up," or "middle-out"

R. A. Kinchla;J. M. Wolfe.
Attention Perception & Psychophysics (1979)

650 Citations

Changing your mind: on the contributions of top-down and bottom-up guidance in visual search for feature singletons.

Jeremy M. Wolfe;Serena J. Butcher;Carol Lee;Megan Hyle.
Journal of Experimental Psychology: Human Perception and Performance (2003)

626 Citations

Cognitive psychology: Rare items often missed in visual searches

Jeremy M. Wolfe;Todd S. Horowitz;Todd S. Horowitz;Naomi M. Kenner.
Nature (2005)

576 Citations

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