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
Electronics and Electrical Engineering D-index 43 Citations 23,321 142 World Ranking 1605 National Ranking 717

Research.com Recognitions

Awards & Achievements

2013 - Hellman Fellow

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Integrated circuit
  • Artificial intelligence

His primary areas of investigation include Memristor, Crossbar switch, Nanotechnology, Neuromorphic engineering and Electronic circuit. His study in Memristor is interdisciplinary in nature, drawing from both Resistor, Thin film, Dopant and Memistor. His studies in Memistor integrate themes in fields like Inductor, Capacitor and Electrical element.

As a part of the same scientific study, Dmitri B. Strukov usually deals with the Crossbar switch, concentrating on CMOS and frequently concerns with Integrated circuit, Logic gate and Nanoelectronics. His Nanotechnology research incorporates themes from Optoelectronics, Joule heating, Condensed matter physics and Resistive switching. His Artificial neural network research is multidisciplinary, incorporating elements of Transistor and Electronics.

His most cited work include:

  • The missing memristor found (6638 citations)
  • Memristive devices for computing (2110 citations)
  • Training and operation of an integrated neuromorphic network based on metal-oxide memristors (1357 citations)

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

His main research concerns Memristor, Electronic engineering, Neuromorphic engineering, Electronic circuit and CMOS. The study incorporates disciplines such as Nanotechnology, Resistive random-access memory, Memistor, Artificial neural network and Optoelectronics in addition to Memristor. His Resistive switching research extends to Nanotechnology, which is thematically connected.

His Electronic engineering research incorporates elements of Integrated circuit, Electrical engineering, Analog computer and Flash memory. His research investigates the connection with Electronic circuit and areas like Crossbar switch which intersect with concerns in Multilayer perceptron. His CMOS study integrates concerns from other disciplines, such as Field-programmable gate array, Embedded system and Nanoelectronics.

He most often published in these fields:

  • Memristor (37.43%)
  • Electronic engineering (33.69%)
  • Neuromorphic engineering (26.74%)

What were the highlights of his more recent work (between 2017-2021)?

  • Neuromorphic engineering (26.74%)
  • Electronic circuit (25.67%)
  • Memristor (37.43%)

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

Dmitri B. Strukov spends much of his time researching Neuromorphic engineering, Electronic circuit, Memristor, Electronic engineering and Mixed-signal integrated circuit. His biological study spans a wide range of topics, including Non-volatile memory, Computer hardware and Efficient energy use. Dmitri B. Strukov has researched Electronic circuit in several fields, including Synaptic weight and CMOS.

His Memristor study incorporates themes from Reinforcement learning, Nanotechnology and Crossbar switch. His work carried out in the field of Electronic engineering brings together such families of science as Amplifier, Analog computer and Electrical efficiency. His Artificial neural network study combines topics from a wide range of disciplines, such as Electrical engineering and Process.

Between 2017 and 2021, his most popular works were:

  • Implementation of multilayer perceptron network with highly uniform passive memristive crossbar circuits. (152 citations)
  • Hardware-intrinsic security primitives enabled by analogue state and nonlinear conductance variations in integrated memristors (59 citations)
  • High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays (54 citations)

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

  • Electrical engineering
  • Integrated circuit
  • Artificial intelligence

His primary scientific interests are in Electronic circuit, Electronic engineering, Neuromorphic engineering, Memristor and Crossbar switch. His work deals with themes such as AND gate and Logic gate, which intersect with Electronic circuit. His Electronic engineering research includes themes of Artificial neural network, Resistive switching and Electronics.

Dmitri B. Strukov studied Neuromorphic engineering and Efficient energy use that intersect with Mixed-signal integrated circuit, Flash memory and Non-volatile memory. His Memristor research includes elements of Field-programmable gate array, CMOS and Stochastic neural network. His study looks at the relationship between Crossbar switch and fields such as Computer hardware, as well as how they intersect with chemical problems.

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

The missing memristor found

Dmitri B. Strukov;Gregory S. Snider;Duncan R. Stewart;R. Stanley Williams.
Nature (2008)

8305 Citations

Memristive devices for computing

J. Joshua Yang;Dmitri B. Strukov;Duncan R. Stewart.
Nature Nanotechnology (2013)

2767 Citations

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

Mirko Prezioso;Farnood Merrikh-Bayat;Brian Hoskins;Gina C. Adam.
Nature (2015)

1710 Citations

Switching dynamics in titanium dioxide memristive devices

Matthew D. Pickett;Dmitri B. Strukov;Julien L. Borghetti;J. Joshua Yang.
Journal of Applied Physics (2009)

711 Citations

Memristor―CMOS Hybrid Integrated Circuits for Reconfigurable Logic

Qiangfei Xia;Warren Robinett;Michael W. Cumbie;Neel Banerjee.
Nano Letters (2009)

631 Citations

CMOL FPGA: a reconfigurable architecture for hybrid digital circuits with two-terminal nanodevices

Dmitri B Strukov;Konstantin K Likharev.
Nanotechnology (2005)

599 Citations

Exponential ionic drift: fast switching and low volatility of thin-film memristors

Dmitri B. Strukov;R. Stanley Williams.
Applied Physics A (2009)

504 Citations

High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

Fabien Alibart;Ligang Gao;Brian D Hoskins;Dmitri B Strukov.
Nanotechnology (2012)

466 Citations

Pattern classification by memristive crossbar circuits using ex situ and in situ training

Fabien Alibart;Elham Zamanidoost;Dmitri B. Strukov.
Nature Communications (2013)

463 Citations

Coupled Ionic and Electronic Transport Model of Thin‐Film Semiconductor Memristive Behavior

Dmitri B. Strukov;Julien L. Borghetti;R. Stanley Williams.
Small (2009)

287 Citations

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