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Danilo P. Mandic

Danilo P. Mandic

Imperial College London
United Kingdom

Electronics and Electrical Engineering

2023

Computer Science

2023

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Electronics and Electrical Engineering D-index 64 Citations 18,975 561 World Ranking 725 National Ranking 35

Computer Science D-index 69 Citations 21,145 659 World Ranking 1225 National Ranking 70

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in United Kingdom Leader Award

2023 - Research.com Electronics and Electrical Engineering in United Kingdom Leader Award

2013 - IEEE Fellow For contributions to multivariate and nonlinear learning systems

Overview

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

His work blends Artificial intelligence and Theoretical computer science studies together. He merges many fields, such as Theoretical computer science and Artificial intelligence, in his writings. Many of his studies involve connections with topics such as Hilbert–Huang transform and Energy (signal processing). As part of his studies on Hilbert–Huang transform, he often connects relevant areas like Energy (signal processing). His Telecommunications research extends to Sampling (signal processing), which is thematically connected. Telecommunications is often connected to Detector in his work. His Detector study frequently draws connections between related disciplines such as Sampling (signal processing). He integrates many fields, such as Statistics and Algorithm, in his works. In his research, Danilo P. Mandic performs multidisciplinary study on Algorithm and Statistics.

Danilo P. Mandic most often published in these fields:

Artificial intelligence (100.00%)
Energy (signal processing) (50.00%)
Sampling (signal processing) (50.00%)

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

Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis

Andrzej Cichocki;Danilo Mandic;Lieven De Lathauwer;Guoxu Zhou.
IEEE Signal Processing Magazine (2015)

1212 Citations

Recurrent Neural Networks for Prediction: Learning Algorithms,Architectures and Stability

Danilo P. Mandic;Jonathon Chambers.
(2001)

855 Citations

Multivariate empirical mode decomposition

N. Rehman;D. P. Mandic.
Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences (2010)

846 Citations

Recurrent Neural Networks for Prediction

Danilo P. Mandic;Jonathon A. Chambers.
Wiley Series in Adaptive and Learning Systems for Signal Processing, Communications, and Control (2001)

835 Citations

Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

Danilo Mandic;Vanessa Su Lee Goh.
(2009)

617 Citations

Tensor Decompositions for Signal Processing Applications From Two-way to Multiway Component Analysis

A. Cichocki;D. Mandic;A-H. Phan;C. Caiafa.
arXiv: Numerical Analysis (2014)

559 Citations

Complex Valued Nonlinear Adaptive Filters

Danilo P. Mandic;Vanessa Su Lee Goh.
(2009)

485 Citations

Filter Bank Property of Multivariate Empirical Mode Decomposition

Naveed ur Rehman;D P Mandic.
IEEE Transactions on Signal Processing (2011)

404 Citations

Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis

Danilo P. Mandic;Naveed Ur Rehman;Zhaohua Wu;Norden E. Huang.
IEEE Signal Processing Magazine (2013)

385 Citations

Complex Empirical Mode Decomposition

T. Tanaka;D.P. Mandic.
IEEE Signal Processing Letters (2007)

322 Citations

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Danilo P. Mandic

D-Index & Metrics 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.

Research.com Recognitions

Awards & Achievements

Overview

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

Danilo P. Mandic most often published in these fields:

Best Publications

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