H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 10,161 87 World Ranking 7250 National Ranking 3407

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

James W. Davis mainly investigates Computer vision, Artificial intelligence, Motion estimation, Motion and Motion History Images. His study in the fields of Iterative reconstruction, Segmentation and Object detection under the domain of Computer vision overlaps with other disciplines such as Template. His study in Iterative reconstruction is interdisciplinary in nature, drawing from both Parametrization, Representation, Feature detection and Categorical variable.

In his work, Pixel is strongly intertwined with Pattern recognition, which is a subfield of Artificial intelligence. His studies deal with areas such as Object, Cognitive neuroscience of visual object recognition, Tracking and Cluster analysis as well as Motion estimation. His research investigates the connection with Motion and areas like Gesture recognition which intersect with concerns in Position and Pattern recognition.

His most cited work include:

  • The recognition of human movement using temporal templates (2403 citations)
  • The representation and recognition of human movement using temporal templates (464 citations)
  • The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment (329 citations)

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

James W. Davis mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Motion and Segmentation. He studied Artificial intelligence and Machine learning that intersect with Inference. His Pattern recognition research is multidisciplinary, relying on both Pixel and Prior probability.

As a part of the same scientific study, he usually deals with the Motion, concentrating on Gesture and frequently concerns with Position. His Segmentation research focuses on subjects like Invariant, which are linked to Iterative reconstruction. His Motion field study, which is part of a larger body of work in Motion estimation, is frequently linked to Motion History Images, bridging the gap between disciplines.

He most often published in these fields:

  • Artificial intelligence (80.58%)
  • Computer vision (62.14%)
  • Pattern recognition (29.13%)

What were the highlights of his more recent work (between 2010-2021)?

  • Artificial intelligence (80.58%)
  • Computer vision (62.14%)
  • Pattern recognition (29.13%)

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

His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Set and Prior probability. His work in Artificial intelligence addresses issues such as Machine learning, which are connected to fields such as Motion. James W. Davis regularly ties together related areas like Translation system in his Computer vision studies.

In general Pattern recognition, his work in Segmentation is often linked to Maximum a posteriori estimation linking many areas of study. James W. Davis has researched Prior probability in several fields, including Semantic image segmentation, Support vector machine, Synthetic data and Problem domain. His Pattern recognition study which covers Statistical model that intersects with Visual hull, Markov random field and Classifier.

Between 2010 and 2021, his most popular works were:

  • FGF23 neutralization improves chronic kidney disease–associated hyperparathyroidism yet increases mortality (295 citations)
  • A Multi-transformational Model for Background Subtraction with Moving Cameras (33 citations)
  • Discovery of a Calcimimetic with Differential Effects on Parathyroid Hormone and Calcitonin Secretion (25 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Artificial intelligence, Computer vision, Pattern recognition, Background subtraction and Secondary hyperparathyroidism are his primary areas of study. By researching both Artificial intelligence and Iterative and incremental development, James W. Davis produces research that crosses academic boundaries. James W. Davis integrates many fields in his works, including Computer vision and Frame.

His Pattern recognition study integrates concerns from other disciplines, such as Covariance matrix, Spectral clustering, Robustness and Biclustering. The Background subtraction study combines topics in areas such as Epipolar geometry, Fundamental matrix, Point tracking and Geometry. His Hyperparathyroidism research is multidisciplinary, incorporating elements of Calcitonin, Renal osteodystrophy and Osteoid.

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

The recognition of human movement using temporal templates

A.F. Bobick;J.W. Davis.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2001)

3438 Citations

The representation and recognition of human movement using temporal templates

J.W. Davis;A.F. Bobick.
computer vision and pattern recognition (1997)

983 Citations

The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment

Aaron F. Bobick;Stephen S. Intille;James W. Davis;Freedom Baird.
Teleoperators and Virtual Environments (1999)

481 Citations

Motion segmentation and pose recognition with motion history gradients

G.R. Bradski;J. Davis.
workshop on applications of computer vision (2000)

417 Citations

Real-time closed-world tracking

S.S. Intille;J.W. Davis;A.F. Bobick.
computer vision and pattern recognition (1997)

402 Citations

FGF23 neutralization improves chronic kidney disease–associated hyperparathyroidism yet increases mortality

Victoria Shalhoub;Edward M. Shatzen;Sabrina C. Ward;James Davis.
Journal of Clinical Investigation (2012)

391 Citations

Background-subtraction using contour-based fusion of thermal and visible imagery

James W. Davis;Vinay Sharma.
Computer Vision and Image Understanding (2007)

376 Citations

Visual gesture recognition

J. Davis;M. Shah.
IEE Proceedings - Vision, Image, and Signal Processing (1994)

318 Citations

Real-time recognition of activity using temporal templates

A. Bobick;J. Davis.
workshop on applications of computer vision (1996)

305 Citations

A Two-Stage Template Approach to Person Detection in Thermal Imagery

J.W. Davis;M.A. Keck.
workshop on applications of computer vision (2005)

286 Citations

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Best Scientists Citing James W. Davis

Mubarak Shah

Mubarak Shah

University of Central Florida

Publications: 42

Larry S. Davis

Larry S. Davis

University of Maryland, College Park

Publications: 33

Aaron F. Bobick

Aaron F. Bobick

Washington University in St. Louis

Publications: 30

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 29

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 24

Yingli Tian

Yingli Tian

City University of New York

Publications: 24

Jake K. Aggarwal

Jake K. Aggarwal

The University of Texas at Austin

Publications: 23

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 22

Thomas B. Moeslund

Thomas B. Moeslund

Aalborg University

Publications: 19

Shaogang Gong

Shaogang Gong

Queen Mary University of London

Publications: 18

Myles Wolf

Myles Wolf

Duke University

Publications: 18

Sergio A. Velastin

Sergio A. Velastin

Queen Mary University of London

Publications: 17

Zicheng Liu

Zicheng Liu

Huazhong University of Science and Technology

Publications: 16

Nikolaos Papanikolopoulos

Nikolaos Papanikolopoulos

University of Minnesota

Publications: 16

Seong-Whan Lee

Seong-Whan Lee

Korea University

Publications: 16

Maja Pantic

Maja Pantic

Imperial College London

Publications: 16

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