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 34 Citations 5,115 177 World Ranking 2599 National Ranking 1061

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Integrated circuit

Arijit Raychowdhury mainly focuses on Electronic engineering, Electrical engineering, Logic gate, Transistor and CMOS. The Electronic engineering study combines topics in areas such as Threshold voltage, Low-dropout regulator, Electronic circuit and MOSFET. His Electronic circuit research incorporates elements of Energy consumption, Microprocessor and Clock rate.

The study incorporates disciplines such as Optoelectronics and Carbon nanotube in addition to Electrical engineering. His research in Logic gate intersects with topics in Pass transistor logic, Reduction, Leakage, Boosting and Subthreshold conduction. His study looks at the intersection of Transistor and topics like Nanoelectronics with Electronics, Electron mobility and Noise margin.

His most cited work include:

  • A 45 nm Resilient Microprocessor Core for Dynamic Variation Tolerance (211 citations)
  • Carbon-nanotube-based voltage-mode multiple-valued logic design (194 citations)
  • Modeling of metallic carbon-nanotube interconnects for circuit simulations and a comparison with Cu interconnects for scaled technologies (172 citations)

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

His main research concerns Electronic engineering, Electrical engineering, CMOS, Transistor and Electronic circuit. His primary area of study in Electronic engineering is in the field of Logic gate. His work on Voltage regulator, Subthreshold conduction and Integrated circuit design as part of general Electrical engineering study is frequently connected to Low-power electronics, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

Arijit Raychowdhury has included themes like AND gate, Dropout voltage and Static random-access memory in his CMOS study. His work carried out in the field of Transistor brings together such families of science as Carbon nanotube and Leakage. His Field-effect transistor study combines topics in areas such as Optoelectronics and Nanoelectronics.

He most often published in these fields:

  • Electronic engineering (37.25%)
  • Electrical engineering (19.46%)
  • CMOS (16.11%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (9.73%)
  • Artificial neural network (7.72%)
  • Efficient energy use (6.04%)

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

Arijit Raychowdhury spends much of his time researching Artificial intelligence, Artificial neural network, Efficient energy use, Computer hardware and Power. His Computer hardware research is multidisciplinary, incorporating perspectives in Attack time, Overhead, Pseudorandom number generator and Cryptography. His research integrates issues of Variation, Design technology, ARM architecture, CMOS and Topology in his study of Power.

His work in Bottleneck tackles topics such as Resistive random-access memory which are related to areas like Electronic engineering. His Electronic engineering study integrates concerns from other disciplines, such as Frequency response, Signal and Noise. In the subject of general Electrical engineering, his work in Voltage is often linked to Multiplication, thereby combining diverse domains of study.

Between 2019 and 2021, his most popular works were:

  • Roadmap on emerging hardware and technology for machine learning. (13 citations)
  • Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation (6 citations)
  • 27.3 EM and Power SCA-Resilient AES-256 in 65nm CMOS Through >350× Current-Domain Signature Attenuation (6 citations)

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

  • Electrical engineering
  • Artificial intelligence
  • Integrated circuit

Artificial neural network, Artificial intelligence, Efficient energy use, Reinforcement learning and CMOS are his primary areas of study. His study on Artificial neural network also encompasses disciplines like

  • Random access memory that intertwine with fields like Non-volatile memory, Electronic circuit, Circuit design and Work,
  • Computer engineering that connect with fields like Static random-access memory and Data flow diagram. His Efficient energy use research includes themes of Computer hardware and Computation.

The concepts of his Reinforcement learning study are interwoven with issues in Range, Task, Gradient method and Energy consumption. His CMOS research incorporates themes from Capacitor, Electrical efficiency and Leakage. His Leakage study is related to the wider topic of Electrical engineering.

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

A 45 nm Resilient Microprocessor Core for Dynamic Variation Tolerance

K A Bowman;J W Tschanz;S L Lu;P A Aseron.
IEEE Journal of Solid-state Circuits (2011)

289 Citations

A circuit-compatible model of ballistic carbon nanotube field-effect transistors

A. Raychowdhury;S. Mukhopadhyay;K. Roy.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2004)

260 Citations

Carbon-nanotube-based voltage-mode multiple-valued logic design

A. Raychowdhury;K. Roy.
IEEE Transactions on Nanotechnology (2005)

238 Citations

Modeling of metallic carbon-nanotube interconnects for circuit simulations and a comparison with Cu interconnects for scaled technologies

A. Raychowdhury;K. Roy.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2006)

222 Citations

Leakage Power Analysis and Reduction for Nanoscale Circuits

Amit Agarwal;Saibal Mukhopadhyay;Arijit Raychowdhury;Kaushik Roy.
IEEE Micro (2006)

191 Citations

Accurate estimation of total leakage current in scaled CMOS logic circuits based on compact current modeling

Saibal Mukhopadhyay;Arijit Raychowdhury;Kaushik Roy.
design automation conference (2003)

164 Citations

Synchronized charge oscillations in correlated electron systems

Nikhil Shukla;Abhinav Parihar;Eugene Freeman;Hanjong Paik.
Scientific Reports (2015)

160 Citations

Design space and scalability exploration of 1T-1STT MTJ memory arrays in the presence of variability and disturbances

Arijit Raychowdhury;Dinesh Somasekhar;Tanay Karnik;Vivek De.
international electron devices meeting (2009)

155 Citations

Carbon Nanotube Electronics: Design of High-Performance and Low-Power Digital Circuits

A. Raychowdhury;K. Roy.
IEEE Transactions on Circuits and Systems I-regular Papers (2007)

144 Citations

TapeCache: a high density, energy efficient cache based on domain wall memory

Rangharajan Venkatesan;Vivek Kozhikkottu;Charles Augustine;Arijit Raychowdhury.
international symposium on low power electronics and design (2012)

140 Citations

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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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