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 42 Citations 8,559 393 World Ranking 1689 National Ranking 35

Research.com Recognitions

Awards & Achievements

2010 - IEEE Fellow For contributions to reliability and design techniques for integrated circuits and systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Quantum mechanics
  • Electrical engineering
  • Operating system

His primary areas of study are Electronic engineering, CMOS, Electrical engineering, Electronic circuit and Transistor. Yusuf Leblebici is interested in Very-large-scale integration, which is a field of Electronic engineering. The concepts of his CMOS study are interwoven with issues in PMOS logic, Subthreshold conduction, Logic gate and Voltage.

His studies in Logic gate integrate themes in fields like NAND gate and Pass transistor logic. His Electronic circuit research includes themes of Spice and Circuit reliability. His biological study spans a wide range of topics, including Optoelectronics and Reliability.

His most cited work include:

  • CMOS Digital Integrated Circuits Analysis & Design (738 citations)
  • Neuromorphic computing using non-volatile memory (393 citations)
  • Neuromorphic computing with multi-memristive synapses (213 citations)

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

Yusuf Leblebici mainly investigates Electronic engineering, CMOS, Electrical engineering, Electronic circuit and Optoelectronics. His research investigates the connection with Electronic engineering and areas like Transistor which intersect with concerns in Reliability. His CMOS study combines topics in areas such as Computer hardware, Chip, Low-power electronics and Integrated circuit.

His research integrates issues of Pixel and Frame rate in his study of Computer hardware. His research investigates the connection between Electronic circuit and topics such as Very-large-scale integration that intersect with problems in Circuit reliability. His work carried out in the field of Optoelectronics brings together such families of science as Electrode and Resistive random-access memory.

He most often published in these fields:

  • Electronic engineering (46.17%)
  • CMOS (34.74%)
  • Electrical engineering (19.70%)

What were the highlights of his more recent work (between 2015-2021)?

  • Electronic engineering (46.17%)
  • CMOS (34.74%)
  • Optoelectronics (15.04%)

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

His main research concerns Electronic engineering, CMOS, Optoelectronics, Computer hardware and Resistive random-access memory. The study incorporates disciplines such as Power, Electronic circuit, Serial communication and Transceiver in addition to Electronic engineering. As a member of one scientific family, Yusuf Leblebici mostly works in the field of Electronic circuit, focusing on Logic gate and, on occasion, Noise margin.

His CMOS study results in a more complete grasp of Electrical engineering. His work on Nanowire, Lithography and Microelectromechanical systems as part of general Optoelectronics study is frequently linked to Tungsten, therefore connecting diverse disciplines of science. In his research, Phase-change memory and Conductance is intimately related to Artificial neural network, which falls under the overarching field of Resistive random-access memory.

Between 2015 and 2021, his most popular works were:

  • Neuromorphic computing using non-volatile memory (393 citations)
  • Neuromorphic computing with multi-memristive synapses (213 citations)
  • Neuromorphic computing with multi-memristive synapses (154 citations)

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

  • Quantum mechanics
  • Operating system
  • Electrical engineering

Yusuf Leblebici focuses on Electronic engineering, CMOS, Resistive random-access memory, Optoelectronics and Artificial intelligence. His specific area of interest is Electronic engineering, where Yusuf Leblebici studies Digital signal processing. His CMOS study is related to the wider topic of Electrical engineering.

His Resistive random-access memory research is multidisciplinary, incorporating perspectives in Artificial neural network, Layer, Chip and Resistive switching. His research in Optoelectronics focuses on subjects like Etching, which are connected to Electronics and Electrical measurements. His Artificial intelligence research integrates issues from Real-time computing, Neuron, Computer vision and Key.

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

CMOS Digital Integrated Circuits Analysis & Design

Sung-Mo (Steve) Kang;Yusuf Leblebici.
(1995)

1735 Citations

Neuromorphic computing using non-volatile memory

Geoffrey W. Burr;Robert M. Shelby;Abu Sebastian;Sangbum Kim.
Advances in Physics: X (2017)

602 Citations

A 3.1 mW 8b 1.2 GS/s Single-Channel Asynchronous SAR ADC With Alternate Comparators for Enhanced Speed in 32 nm Digital SOI CMOS

L. Kull;T. Toifl;M. Schmatz;P. A. Francese.
international solid-state circuits conference (2013)

294 Citations

Neuromorphic computing with multi-memristive synapses

Irem Boybat;Irem Boybat;Manuel Le Gallo;S. R. Nandakumar;S. R. Nandakumar;Timoleon Moraitis.
Nature Communications (2018)

292 Citations

Neuromorphic computing with multi-memristive synapses

Irem Boybat;Manuel Le Gallo;Nandakumar S. R.;Timoleon Moraitis.
arXiv: Emerging Technologies (2017)

235 Citations

Dynamic thermal management in 3D multicore architectures

Ayse K. Coskun;Jose L. Ayala;David Atienza;Tajana Simunic Rosing.
design, automation, and test in europe (2009)

233 Citations

Polarity control in double-gate, gate-all-around vertically stacked silicon nanowire FETs

M. De Marchi;D. Sacchetto;S. Frache;J. Zhang.
international electron devices meeting (2012)

209 Citations

22.1 A 90GS/s 8b 667mW 64× interleaved SAR ADC in 32nm digital SOI CMOS

Lukas Kull;Thomas Toifl;Martin Schmatz;Pier Andrea Francese.
international solid-state circuits conference (2014)

195 Citations

Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor

V Majidzadeh;A Schmid;Y Leblebici.
IEEE Transactions on Biomedical Circuits and Systems (2011)

189 Citations

MoS2 transistors operating at gigahertz frequencies.

Daria Krasnozhon;Dominik Lembke;Clemens Nyffeler;Yusuf Leblebici.
Nano Letters (2014)

187 Citations

Best Scientists Citing Yusuf Leblebici

David Atienza

David Atienza

École Polytechnique Fédérale de Lausanne

Publications: 35

Abu Sebastian

Abu Sebastian

IBM Research - Zurich

Publications: 30

Thomas Mikolajick

Thomas Mikolajick

Namlab GmbH

Publications: 26

Luca Benini

Luca Benini

University of Bologna

Publications: 23

Sung-Mo Kang

Sung-Mo Kang

University of California, Santa Cruz

Publications: 21

Evangelos S. Eleftheriou

Evangelos S. Eleftheriou

IBM (United States)

Publications: 21

Byung-Gook Park

Byung-Gook Park

Seoul National University

Publications: 17

Weisheng Zhao

Weisheng Zhao

Beihang University

Publications: 17

Geoffrey W. Burr

Geoffrey W. Burr

IBM (United States)

Publications: 16

Massimo Alioto

Massimo Alioto

National University of Singapore

Publications: 15

Angshul Majumdar

Angshul Majumdar

Indraprastha Institute of Information Technology Delhi

Publications: 15

Wilfried Haensch

Wilfried Haensch

IBM (United States)

Publications: 14

Jong-Ho Lee

Jong-Ho Lee

Samsung (South Korea)

Publications: 14

Boris Murmann

Boris Murmann

Stanford University

Publications: 14

Bipin Rajendran

Bipin Rajendran

King's College London

Publications: 13

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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