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 59 Citations 26,285 226 World Ranking 1613 National Ranking 34

Research.com Recognitions

Awards & Achievements

2014 - SIAM Fellow For contributions to signal processing, image analysis, and ant robotics.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Image processing and Sparse approximation. His Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition. Alfred M. Bruckstein interconnects Curve evolution, Medial axis, Skeletonization, Signal and Shape analysis in the investigation of issues within Algorithm.

In his study, which falls under the umbrella issue of Computer vision, Digital watermarking, Digital image and Watermark is strongly linked to Holography. His work carried out in the field of Sparse approximation brings together such families of science as Discrete mathematics, Matching pursuit, Wavelet transform and Neural coding. His K-SVD research includes themes of Matrix decomposition, Matrix, k-means clustering, Cluster analysis and Signal processing.

His most cited work include:

  • $rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation (7452 citations)
  • From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images (1889 citations)
  • Dictionaries for Sparse Representation Modeling (1048 citations)

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

Alfred M. Bruckstein spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Robot and Swarm behaviour. His Artificial intelligence research incorporates themes from Planar and Pattern recognition. Alfred M. Bruckstein combines subjects such as Surface and Holography with his study of Computer vision.

His work focuses on many connections between Algorithm and other disciplines, such as Image compression, that overlap with his field of interest in Data compression. His Robot research is multidisciplinary, incorporating perspectives in Grid, Simple, Distributed computing and Position. His study on Swarm behaviour is mostly dedicated to connecting different topics, such as Upper and lower bounds.

He most often published in these fields:

  • Artificial intelligence (39.83%)
  • Computer vision (27.58%)
  • Algorithm (23.68%)

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

  • Swarm behaviour (9.19%)
  • Algorithm (23.68%)
  • Robot (9.75%)

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

Alfred M. Bruckstein mostly deals with Swarm behaviour, Algorithm, Robot, Artificial intelligence and Distributed computing. His Swarm behaviour research includes elements of Orientation, Upper and lower bounds and Real-time computing. His Algorithm study combines topics from a wide range of disciplines, such as Lossy compression, Distributed data store, Holography, Image compression and Compression.

His biological study spans a wide range of topics, including Time complexity, Grid, Simple, Protocol and Visibility. He usually deals with Artificial intelligence and limits it to topics linked to Computer vision and Frame. His studies in Distributed computing integrate themes in fields like Network topology, Multi-agent system, Connectivity and Mobile robot.

Between 2016 and 2021, his most popular works were:

  • On Swarm Optimality in Dynamic and Symmetric Environments (20 citations)
  • A Randomized Gathering Algorithm for Multiple Robots with Limited Sensing Capabilities (12 citations)
  • Optimal Dynamic Coverage Infrastructure for Large-Scale Fleets of Reconnaissance UAVs (11 citations)

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

  • Artificial intelligence
  • Algorithm
  • Computer vision

His main research concerns Algorithm, Swarm behaviour, Robot, Drone and Compression. His Algorithm research focuses on Distortion and how it connects with Focus and Iterative reconstruction. His Swarm behaviour research is multidisciplinary, relying on both Distributed computing and Protocol.

In Robot, Alfred M. Bruckstein works on issues like Orientation, which are connected to Discrete time and continuous time, Sorting, Frame of reference and Randomized algorithm. His research in Compression focuses on subjects like Image compression, which are connected to Binary data and Sensitivity. In his work, Alfred M. Bruckstein performs multidisciplinary research in Artificial intelligence and Field.

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

$rm K$ -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation

M. Aharon;M. Elad;A. Bruckstein.
IEEE Transactions on Signal Processing (2006)

9487 Citations

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

Alfred M. Bruckstein;David L. Donoho;Michael Elad.
Siam Review (2009)

2318 Citations

Dictionaries for Sparse Representation Modeling

Ron Rubinstein;Alfred M Bruckstein;Michael Elad.
Proceedings of the IEEE (2010)

1351 Citations

A probabilistic Hough transform

N. Kiryati;Y. Eldar;A. M. Bruckstein.
Pattern Recognition (1991)

846 Citations

A generalized uncertainty principle and sparse representation in pairs of bases

M. Elad;A.M. Bruckstein.
IEEE Transactions on Information Theory (2002)

774 Citations

A new method for image segmentation

S. D. Yanowitz;A. M. Bruckstein.
Graphical Models /graphical Models and Image Processing /computer Vision, Graphics, and Image Processing (1989)

572 Citations

Finding shortest paths on surfaces using level sets propagation

R. Kimmel;A. Amir;A.M. Bruckstein.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1995)

361 Citations

Distributed covering by ant-robots using evaporating traces

I.A. Wagner;M. Lindenbaum;A.M. Bruckstein.
international conference on robotics and automation (1999)

350 Citations

On Gabor's contribution to image enhancement

Michael Lindenbaum;M. Fischer;Alfred M. Bruckstein.
Pattern Recognition (1994)

324 Citations

Regularized Laplacian Zero Crossings as Optimal Edge Integrators

R. Kimmel;A. M. Bruckstein.
International Journal of Computer Vision (2003)

306 Citations

Best Scientists Citing Alfred M. Bruckstein

Michael Elad

Michael Elad

Technion – Israel Institute of Technology

Publications: 141

Guillermo Sapiro

Guillermo Sapiro

Duke University

Publications: 98

Ron Kimmel

Ron Kimmel

Technion – Israel Institute of Technology

Publications: 89

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 70

Lei Zhang

Lei Zhang

Hong Kong Polytechnic University

Publications: 59

Yonina C. Eldar

Yonina C. Eldar

Weizmann Institute of Science

Publications: 58

Vishal M. Patel

Vishal M. Patel

Johns Hopkins University

Publications: 58

Alexander M. Bronstein

Alexander M. Bronstein

Technion – Israel Institute of Technology

Publications: 53

Joachim Weickert

Joachim Weickert

Saarland University

Publications: 50

Angshul Majumdar

Angshul Majumdar

Indraprastha Institute of Information Technology Delhi

Publications: 49

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 47

Nir Sochen

Nir Sochen

Tel Aviv University

Publications: 45

Yoram Bresler

Yoram Bresler

University of Illinois at Urbana-Champaign

Publications: 44

Edwin R. Hancock

Edwin R. Hancock

University of York

Publications: 42

Trac D. Tran

Trac D. Tran

Johns Hopkins University

Publications: 41

Gitta Kutyniok

Gitta Kutyniok

Ludwig-Maximilians-Universität München

Publications: 40

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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