H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 4,573 202 World Ranking 6941 National Ranking 9

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Algorithm
  • Computer vision

His primary areas of investigation include Cellular neural network, Artificial neural network, Artificial intelligence, Universal Turing machine and Algorithm. In his works, Tamás Roska conducts interdisciplinary research on Cellular neural network and Template. His Artificial neural network research incorporates themes from Weighting, Filter, Ohm and Signal processing.

His Artificial intelligence research is multidisciplinary, incorporating perspectives in Basis and Computer vision. His Universal Turing machine research is multidisciplinary, incorporating elements of Computer architecture and State. His research integrates issues of Reciprocity, Nonlinear network analysis, Closeness, Topology and Edge detection in his study of Algorithm.

His most cited work include:

  • The CNN paradigm (878 citations)
  • The CNN universal machine: an analogic array computer (852 citations)
  • Cellular neural networks with non-linear and delay-type template elements and non-uniform grids (351 citations)

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

Cellular neural network, Artificial intelligence, Computer vision, Artificial neural network and Algorithm are his primary areas of study. His Cellular neural network research incorporates elements of Theoretical computer science, Computer hardware, Chip, Universal Turing machine and Very-large-scale integration. He combines subjects such as Computer architecture and Electronic engineering with his study of Chip.

His Universal Turing machine study incorporates themes from Microprocessor and Binary number. His Artificial intelligence study frequently draws connections between adjacent fields such as Pattern recognition. His work in the fields of Algorithm, such as Cellular automaton, intersects with other areas such as Template.

He most often published in these fields:

  • Cellular neural network (43.70%)
  • Artificial intelligence (37.02%)
  • Computer vision (21.85%)

What were the highlights of his more recent work (between 2008-2014)?

  • Artificial intelligence (37.02%)
  • Computer vision (21.85%)
  • Electronic engineering (6.68%)

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

His primary areas of investigation include Artificial intelligence, Computer vision, Electronic engineering, Chip and Topology. His work on Feature detection, Cellular neural network and Orientation as part of general Artificial intelligence research is often related to Airplane, thus linking different fields of science. In his works, Tamás Roska undertakes multidisciplinary study on Cellular neural network and Template.

Many of his research projects under Computer vision are closely connected to Course with Course, tying the diverse disciplines of science together. His Electronic engineering study combines topics from a wide range of disciplines, such as Weighting and Artificial neural network, Neuromorphic engineering. He has included themes like Layer and Computer hardware in his Chip study.

Between 2008 and 2014, his most popular works were:

  • Neural Synaptic Weighting With a Pulse-Based Memristor Circuit (255 citations)
  • Spin torque oscillator models for applications in associative memories (39 citations)
  • Biomimetic model of the outer plexiform layer by incorporating memristive devices. (31 citations)

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

  • Artificial intelligence
  • Algorithm
  • Computer vision

Tamás Roska mostly deals with Electronic engineering, Electrical engineering, Software, Simulation and Memristor. The Electronic engineering study combines topics in areas such as Sensor array, Torque, Processor array and Spin-½. His research in the fields of Electronic circuit and Oscilloscope overlaps with other disciplines such as Personal computer and Laptop.

His studies deal with areas such as Microprocessor, Computer architecture and Chua's circuit as well as Software. His study in Memristor is interdisciplinary in nature, drawing from both Weighting, Artificial neural network, Fault tolerance and Thresholding. Tamás Roska mostly deals with Neuromorphic engineering in his studies of Artificial neural network.

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

The CNN universal machine: an analogic array computer

T. Roska;L.O. Chua.
IEEE Transactions on Circuits and Systems Ii: Analog and Digital Signal Processing (1993)

1289 Citations

The CNN paradigm

L.O. Chua;T. Roska.
IEEE Transactions on Circuits and Systems I-regular Papers (1993)

1227 Citations

Cellular Neural Networks and Visual Computing: Foundations and Applications

Leon O. Chua;Tamás Roska.
(2002)

863 Citations

Cellular neural networks with non-linear and delay-type template elements and non-uniform grids

Tamás Roska;Leon O. Chua.
International Journal of Circuit Theory and Applications (1992)

528 Citations

Cellular Neural Networks and Visual Computing

Leon O. Chua;Tamas Roska.
(2005)

350 Citations

Neural Synaptic Weighting With a Pulse-Based Memristor Circuit

Hyongsuk Kim;Maheshwar Sah;Changju Yang;Tamás Roska.
IEEE Transactions on Circuits and Systems (2012)

327 Citations

Stability and dynamics of delay-type general and cellular neural networks

T. Roska;C.W. Wu;M. Balsi;L.O. Chua.
IEEE Transactions on Circuits and Systems I-regular Papers (1992)

316 Citations

Stability of a class of nonreciprocal cellular neural networks

L.O. Chua;T. Roska.
IEEE Transactions on Circuits and Systems (1990)

312 Citations

The analogic cellular neural network as a bionic eye

Frank S. Werblin;Tamás Roska;Leon O. Chua.
International Journal of Circuit Theory and Applications (1995)

276 Citations

Cellular neural networks with nonlinear and delay-type template elements

T. Roska;L.O. Chua.
ieee international workshop on cellular neural networks and their applications (1990)

266 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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