Anastasios N. Venetsanopoulos

Toronto Metropolitan University
Canada

Electronics and Electrical Engineering

Canada

2023

Computer Science

Canada

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 20,634 482 World Ranking 719 National Ranking 42

Computer Science D-index 69 Citations 23,436 526 World Ranking 1217 National Ranking 45

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Canada Leader Award

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

2010 - Fellow of the Royal Society of Canada Academy of Science

Overview

What is he best known for?

The fields of study Anastasios N. Venetsanopoulos is best known for:

Low-pass filter
Digital signal processing
Signal processing

In his study, Algebra over a field is strongly linked to Pure mathematics, which falls under the umbrella field of Dimension (graph theory). He regularly ties together related areas like Pure mathematics in his Algebra over a field studies. Realization (probability) and Flexibility (engineering) are all intertwined in Statistics research. His research is interdisciplinary, bridging the disciplines of Statistics and Flexibility (engineering). He connects Computer vision with Artificial neural network in his research. Artificial neural network and Computer vision are two areas of study in which Anastasios N. Venetsanopoulos engages in interdisciplinary work. He incorporates Filter (signal processing) and Low-pass filter in his studies. In his study, he carries out multidisciplinary Low-pass filter and Linear filter research. He conducts interdisciplinary study in the fields of Linear filter and Digital filter through his research.

His most cited work include:

Nonlinear mean filters in image processing (161 citations)
Improved short-term load forecasting using bagged neural networks (118 citations)
Design of circularly symmetric two-dimensional recursive filters (87 citations)

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

In his study, Anastasios N. Venetsanopoulos carries out multidisciplinary Algorithm and Discrete mathematics research. Anastasios N. Venetsanopoulos applies his multidisciplinary studies on Discrete mathematics and Algorithm in his research. While working on this project, he studies both Filter (signal processing) and Linear filter. In his works, he undertakes multidisciplinary study on Linear filter and Filter (signal processing). In his works, Anastasios N. Venetsanopoulos performs multidisciplinary study on Computer vision and Pixel. He conducted interdisciplinary study in his works that combined Pixel and Computer vision. He conducts interdisciplinary study in the fields of Digital filter and Finite impulse response through his research. Anastasios N. Venetsanopoulos merges Finite impulse response with Digital filter in his research. His Noise (video) research extends to Artificial intelligence, which is thematically connected.

Anastasios N. Venetsanopoulos most often published in these fields:

Algorithm (70.00%)
Filter (signal processing) (66.67%)
Computer vision (66.67%)

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