H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 57 Citations 18,988 184 World Ranking 1851 National Ranking 1018
Mathematics H-index 52 Citations 16,494 153 World Ranking 465 National Ranking 240

Research.com Recognitions

Awards & Achievements

2017 - Fellow of the Royal Society of Canada Academy of Science

2013 - Fellow of the American Mathematical Society

1988 - IEEE Fellow For contributions in computer vision and image processing

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Mathematical analysis
  • Computer vision

His main research concerns Artificial intelligence, Algorithm, Computer vision, Curvature and Discrete mathematics. He studies Representation which is a part of Artificial intelligence. His work carried out in the field of Algorithm brings together such families of science as Object, Object detection, Relaxation and Identification.

His study in the field of Edge detection and Noise reduction is also linked to topics like Computer techniques and Digital filter. In his study, Orientation is strongly linked to Mathematical analysis, which falls under the umbrella field of Curvature. His study on Clique is often connected to K-tree as part of broader study in Discrete mathematics.

His most cited work include:

  • Scene Labeling by Relaxation Operations (1288 citations)
  • Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps (1155 citations)
  • On the Foundations of Relaxation Labeling Processes (830 citations)

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

Steven W. Zucker mainly focuses on Artificial intelligence, Computer vision, Algorithm, Geometry and Curvature. Within one scientific family, Steven W. Zucker focuses on topics pertaining to Computation under Artificial intelligence, and may sometimes address concerns connected to Optical flow. His Computer vision study integrates concerns from other disciplines, such as Surface and Shading.

He has researched Algorithm in several fields, including Discrete mathematics and Piecewise. Steven W. Zucker works mostly in the field of Curvature, limiting it down to topics relating to Mathematical analysis and, in certain cases, Pure mathematics. The concepts of his Orientation study are interwoven with issues in Perspective and Tangent.

He most often published in these fields:

  • Artificial intelligence (41.67%)
  • Computer vision (27.98%)
  • Algorithm (20.83%)

What were the highlights of his more recent work (between 2011-2020)?

  • Artificial intelligence (41.67%)
  • Computer vision (27.98%)
  • Photometric stereo (6.85%)

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

Steven W. Zucker spends much of his time researching Artificial intelligence, Computer vision, Photometric stereo, Shading and Geometry. His Artificial intelligence research is multidisciplinary, relying on both Gestalt psychology and Pattern recognition. His Computer vision research includes elements of Visual perception and Models of neural computation.

His study looks at the relationship between Visual perception and topics such as Connection, which overlap with Algorithm. His biological study spans a wide range of topics, including Orientation, Differential geometry, Invariant and Inverse problem. His work carried out in the field of Geometry brings together such families of science as Current and Structural engineering.

Between 2011 and 2020, his most popular works were:

  • Heart wall myofibers are arranged in minimal surfaces to optimize organ function (52 citations)
  • Spatial self-organization resolves conflicts between individuality and collective migration. (36 citations)
  • A Gradient Projection Algorithm for Relaxation Methods (29 citations)

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

  • Artificial intelligence
  • Mathematical analysis
  • Computer vision

His primary areas of study are Photometric stereo, Computer vision, Artificial intelligence, Curvature and Inverse problem. His Photometric stereo research incorporates elements of Salient, Brightness, Shading, Image flow and Invariant. His Computer vision study combines topics from a wide range of disciplines, such as Visual perception, Theoretical computer science and Pattern recognition.

His research integrates issues of Closure and Information processing in his study of Artificial intelligence. His work deals with themes such as Differential geometry and Probabilistic logic, Pairwise comparison, Statistics, which intersect with Curvature. Steven W. Zucker combines subjects such as Geometry, Surface and Covariant transformation with his study of Inverse problem.

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

Scene Labeling by Relaxation Operations

Azriel Rosenfeld;Robert A. Hummel;Steven W. Zucker.
systems man and cybernetics (1976)

2088 Citations

Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps

R. R. Coifman;S. Lafon;A. B. Lee;M. Maggioni.
Proceedings of the National Academy of Sciences of the United States of America (2005)

1494 Citations

On the Foundations of Relaxation Labeling Processes

Robert A. Hummel;Steven W. Zucker.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1983)

1286 Citations

Shock graphs and shape matching

K. Siddiqi;A. Shokoufandeh;S.J. Dickenson;S.W. Zucker.
international conference on computer vision (1998)

1199 Citations

Region growing: Childhood and adolescence*

Steven W. Zucker.
Computer Graphics and Image Processing (1976)

949 Citations

Toward efficient trajectory planning: the path-velocity decomposition

K Kant;S W Zucker.
The International Journal of Robotics Research (1986)

898 Citations

Shapes, shocks, and deformations I: the components of two-dimensional shape and the reaction-diffusion space

Benjamin B. Kimia;Allen R. Tannenbaum;Steven W. Zucker.
International Journal of Computer Vision (1995)

833 Citations

Local scale control for edge detection and blur estimation

J.H. Elder;S.W. Zucker.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1998)

787 Citations

Trace inference, curvature consistency, and curve detection

P. Parent;S.W. Zucker.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1989)

691 Citations

Evaluating the fractal dimension of profiles

B. Dubuc;J. F. Quiniou;C. Roques-Carmes;C. Tricot.
Physical Review A (1989)

594 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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