H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 18,641 57 World Ranking 6572 National Ranking 3138

Research.com Recognitions

Awards & Achievements

2013 - Fellow, National Academy of Inventors

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Electrical engineering
  • Computer vision

Gesture, Artificial intelligence, Computer vision, Human–computer interaction and Computer graphics are his primary areas of study. Many of his studies on Gesture apply to Speech recognition as well. His Multi-touch and Segmentation study are his primary interests in Artificial intelligence.

His research integrates issues of Input device and Electrode array in his study of Computer vision. His Input device study combines topics from a wide range of disciplines, such as Simulation, State and Pointing device. His Human–computer interaction research incorporates elements of Graphical user interface and Conjunction.

His most cited work include:

  • Method and apparatus for integrating manual input (2543 citations)
  • Touch screen device, method, and graphical user interface for determining commands by applying heuristics (2124 citations)
  • Gesturing with a multipoint sensing device (1025 citations)

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

His main research concerns Artificial intelligence, Computer vision, Gesture, Surface and Signal. Many of his studies involve connections with topics such as Stylus and Artificial intelligence. Wayne Carl Westerman regularly links together related areas like Input device in his Computer vision studies.

His work carried out in the field of Gesture brings together such families of science as Computer graphics, Speech recognition, Human–computer interaction, Finger movement and Object. The Signal study combines topics in areas such as Electronic engineering and Sense. His Multi-touch research integrates issues from Engineering drawing and Electronics.

He most often published in these fields:

  • Artificial intelligence (53.27%)
  • Computer vision (52.34%)
  • Gesture (26.17%)

What were the highlights of his more recent work (between 2013-2020)?

  • Computer vision (52.34%)
  • Artificial intelligence (53.27%)
  • Input device (10.28%)

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

Wayne Carl Westerman spends much of his time researching Computer vision, Artificial intelligence, Input device, Electronic engineering and Acoustics. His Stylus, Object and Pixel study in the realm of Computer vision interacts with subjects such as Ellipse and Column. His study deals with a combination of Artificial intelligence and Set.

His study explores the link between Input device and topics such as Electronics that cross with problems in Matched filter, Multi-touch, Small form factor and Subspace topology. His Electronic engineering study integrates concerns from other disciplines, such as Demodulation, Sense, Communication channel, Waveform and Calibration. His Acoustics study combines topics in areas such as Viewport, Simulation and Engineering drawing.

Between 2013 and 2020, his most popular works were:

  • Devices and Methods for Processing Touch Inputs Based on Their Intensities (39 citations)
  • Dynamic Range Control for Optical Encoders (30 citations)
  • Apportionment of Forces for Multi-Touch Input Devices of Electronic Devices (27 citations)

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

  • Artificial intelligence
  • Computer vision
  • Electrical engineering

Wayne Carl Westerman focuses on Electronic engineering, Input device, Force sensor, Artificial intelligence and Computer vision. His Electronic engineering research includes themes of Dynamic range compression, Waveform, Signal, Calibration and Haptic technology. The study incorporates disciplines such as Matched filter, Field calibration, Electrical engineering and Control theory in addition to Input device.

His Force sensor research encompasses a variety of disciplines, including Electronics, Deflection, Multi-touch, Centroid and User input. His research combines Shell and Artificial intelligence. His studies in Computer vision integrate themes in fields like Event and Input impedance.

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

Method and apparatus for integrating manual input

Wayne Carl Westerman;John Greer Elias.
(1999)

4465 Citations

Touch Screen Device, Method, and Graphical User Interface for Determining Commands by Applying Heuristics

Steven P. Jobs;Scott Forstall;Greg Christie;Stephen O. Lemay.
(2007)

3392 Citations

Gesturing with a multipoint sensing device

Wayne Carl Westerman;Steve Porter Hotelling;Myra Mary Haggerty;Bas Ording.
(2007)

1651 Citations

Detecting and interpreting real-world and security gestures on touch and hover sensitive devices

Wayne Carl Westerman;Myra Mary Haggerty.
(2010)

1033 Citations

Swipe gestures for touch screen keyboards

Wayne Carl Westerman;Henri Lamiraux;Matthew Evan Dreisbach.
(2007)

1003 Citations

Multi-touch gesture dictionary

John Greer Elias;Wayne Carl Westerman;Myra Mary Haggerty.
(2007)

944 Citations

Selective rejection of touch contacts in an edge region of a touch surface

Wayne Carl Westerman;カール ウェスターマン ウェイン.
(2008)

783 Citations

Multi-touch input discrimination

Wayne Carl Westerman.
(2007)

660 Citations

Using ambient light sensor to augment proximity sensor output

Scott M. Herz;Roberto G. Yepez;Wayne C. Westerman;Stephen P. Hotelling.
(2007)

586 Citations

Methods and graphical user interfaces for editing on a portable multifunction device

Stephen O. Lemay;Bas Ording;Marcel Van Os;B. Michael Victor.
(2008)

517 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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