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 42 Citations 15,457 169 World Ranking 4071 National Ranking 2067

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Algorithm
  • Statistics

Her primary areas of study are Algorithm, Signal processing, Theoretical computer science, Wavelet and Filter bank. In her study, which falls under the umbrella issue of Algorithm, Kernel adaptive filter is strongly linked to Speech recognition. She combines subjects such as Optimization problem, Digital signal processing, Fourier transform and Computer engineering with her study of Signal processing.

Jelena Kovacevic interconnects Toolbox and Robustness in the investigation of issues within Theoretical computer science. Her Wavelet research includes themes of Basis, Discrete time and continuous time, Filter and Pure mathematics. Jelena Kovacevic has researched Filter bank in several fields, including Discrete mathematics, Digital filter, Multidimensional systems, Mathematical optimization and Filter.

Her most cited work include:

  • Wavelets and Subband Coding (2180 citations)
  • Graph Signal Processing: Overview, Challenges, and Applications (559 citations)
  • Quantized Frame Expansions with Erasures (468 citations)

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

Her primary areas of investigation include Algorithm, Artificial intelligence, Computer vision, Signal processing and Filter bank. Her work deals with themes such as Theoretical computer science, Filter, Speech recognition, Filter and Graph, which intersect with Algorithm. The study of Artificial intelligence is intertwined with the study of Pattern recognition in a number of ways.

Her Signal processing research focuses on subjects like Fourier transform, which are linked to Orthonormal basis. Her study in Filter bank is interdisciplinary in nature, drawing from both Discrete mathematics, Filter design, Digital filter, Multidimensional systems and Wavelet. Her Wavelet research is mostly focused on the topic Wavelet transform.

She most often published in these fields:

  • Algorithm (37.90%)
  • Artificial intelligence (29.84%)
  • Computer vision (17.74%)

What were the highlights of her more recent work (between 2016-2020)?

  • Graph (9.68%)
  • Algorithm (37.90%)
  • Signal processing (16.13%)

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

The scientist’s investigation covers issues in Graph, Algorithm, Signal processing, Theoretical computer science and Point cloud. The study incorporates disciplines such as Graph, Sampling, Supervised learning, Noise reduction and Acceleration in addition to Algorithm. Her Graph research incorporates elements of Image segmentation and Directed graph.

Her Signal processing study integrates concerns from other disciplines, such as Real-time computing and Data mining. As a part of the same scientific family, Jelena Kovacevic mostly works in the field of Theoretical computer science, focusing on Graph bandwidth and, on occasion, Hamming distance and Speedup. Her Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition.

Between 2016 and 2020, her most popular works were:

  • Graph Signal Processing: Overview, Challenges, and Applications (559 citations)
  • Fast Resampling of Three-Dimensional Point Clouds via Graphs (65 citations)
  • Light field otoscope design for 3D in vivo imaging of the middle ear. (30 citations)

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

  • Artificial intelligence
  • Statistics
  • Algorithm

Her main research concerns Algorithm, Signal processing, Point cloud, Graph and Theoretical computer science. Her work carried out in the field of Algorithm brings together such families of science as Process, Bridge, Dimensionality reduction, Supervised learning and Acceleration. The Signal processing study combines topics in areas such as Matching pursuit, Sparse approximation and Data mining.

Artificial intelligence covers Jelena Kovacevic research in Point cloud. Her Graph study combines topics from a wide range of disciplines, such as Polygon mesh, Exponential function and Piecewise. The various areas that Jelena Kovacevic examines in her Theoretical computer science study include Differentiable function, Generalization, Image and Convolution.

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

Wavelets and Subband Coding

Martin Vetterli;Jelena Kovačevic.
(2013)

4923 Citations

Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for R/sup n/

J. Kovacevic;M. Vetterli;M. Vetterli;M. Vetterli.
IEEE Transactions on Information Theory (1992)

671 Citations

Graph Signal Processing: Overview, Challenges, and Applications

Antonio Ortega;Pascal Frossard;Jelena Kovacevic;Jose M. F. Moura.
Proceedings of the IEEE (2018)

612 Citations

Quantized Frame Expansions with Erasures

Vivek K. Goyal;Jelena Kovačević;Jonathan A. Kelner.
Applied and Computational Harmonic Analysis (2001)

594 Citations

Discrete Signal Processing on Graphs: Sampling Theory

Siheng Chen;Rohan Varma;Aliaksei Sandryhaila;Jelena Kovacevic.
IEEE Transactions on Signal Processing (2015)

479 Citations

Wavelets: the mathematical background

A. Cohen;J. Kovacevic.
Proceedings of the IEEE (1996)

471 Citations

Equal-Norm Tight Frames with Erasures

Peter G. Casazza;Jelena Kovačević.
Advances in Computational Mathematics (2003)

430 Citations

Foundations of Signal Processing

Martin Vetterli;Jelena Kovačević;Vivek K Goyal.
(2014)

381 Citations

Life Beyond Bases: The Advent of Frames (Part II)

J. Kovacevic;A. Chebira.
IEEE Signal Processing Magazine (2007)

358 Citations

Reproducible research in signal processing

P. Vandewalle;J. Kovacevic;M. Vetterli.
IEEE Signal Processing Magazine (2009)

357 Citations

Best Scientists Citing Jelena Kovacevic

Martin Vetterli

Martin Vetterli

École Polytechnique Fédérale de Lausanne

Publications: 97

Alejandro Ribeiro

Alejandro Ribeiro

University of Pennsylvania

Publications: 58

P.P. Vaidyanathan

P.P. Vaidyanathan

California Institute of Technology

Publications: 58

Michael Unser

Michael Unser

École Polytechnique Fédérale de Lausanne

Publications: 51

Peter G. Casazza

Peter G. Casazza

University of Missouri

Publications: 49

Geert Leus

Geert Leus

Delft University of Technology

Publications: 49

Jonathan J. Hull

Jonathan J. Hull

Independent Scientist / Consultant, US

Publications: 45

Minh N. Do

Minh N. Do

University of Illinois at Urbana-Champaign

Publications: 42

Gene Cheung

Gene Cheung

York University

Publications: 37

Antonio Ortega

Antonio Ortega

University of Southern California

Publications: 36

Berna Erol

Berna Erol

Ricoh (Japan)

Publications: 34

Gitta Kutyniok

Gitta Kutyniok

Ludwig-Maximilians-Universität München

Publications: 33

Kannan Ramchandran

Kannan Ramchandran

University of California, Berkeley

Publications: 31

Ljubisa Stankovic

Ljubisa Stankovic

University of Montenegro

Publications: 23

Dimitri Van De Ville

Dimitri Van De Ville

École Polytechnique Fédérale de Lausanne

Publications: 23

Thierry Blu

Thierry Blu

Chinese University of Hong Kong

Publications: 23

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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