H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 34 Citations 5,243 205 World Ranking 2672 National Ranking 1085

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to high performance and low power digital circuits for microprocessors

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Central processing unit
  • Integrated circuit

His primary areas of investigation include CMOS, Electronic engineering, Electrical engineering, Adder and Electronic circuit. His studies deal with areas such as Key generation, Low-power electronics, Integrated circuit, Process variation and Circuit design as well as CMOS. His Electronic engineering research is multidisciplinary, incorporating perspectives in Voltage, Robustness and Leakage.

Ram Krishnamurthy usually deals with Electrical engineering and limits it to topics linked to Random number generation and Feedback loop. His Adder research incorporates themes from Microprocessor, Logic synthesis, 32-bit and Parallel computing. His Electronic circuit research is multidisciplinary, relying on both Floating point, Computation and Binary number.

His most cited work include:

  • Near-threshold voltage (NTV) design: opportunities and challenges (207 citations)
  • A sub-130-nm conditional keeper technique (171 citations)
  • 16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS (142 citations)

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

His scientific interests lie mostly in Electronic engineering, CMOS, Electrical engineering, Computer hardware and Electronic circuit. His Electronic engineering research integrates issues from Transistor, Robustness and Leakage. Ram Krishnamurthy has included themes like Adder, Efficient energy use, Datapath and Very-large-scale integration in his CMOS study.

His Adder research includes elements of Microprocessor and Multiplexer. His Computer hardware study integrates concerns from other disciplines, such as Artificial neural network, Reduction and Cache. His research on Electronic circuit frequently links to adjacent areas such as Low voltage.

He most often published in these fields:

  • Electronic engineering (40.70%)
  • CMOS (38.25%)
  • Electrical engineering (24.91%)

What were the highlights of his more recent work (between 2018-2021)?

  • CMOS (38.25%)
  • Computer hardware (22.81%)
  • Voltage (16.14%)

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

The scientist’s investigation covers issues in CMOS, Computer hardware, Voltage, Artificial neural network and Electrical engineering. His CMOS study combines topics in areas such as Logic gate, Efficient energy use, Chip and Parallel computing. Ram Krishnamurthy focuses mostly in the field of Logic gate, narrowing it down to matters related to Electronic circuit and, in some cases, Energy consumption.

His research integrates issues of Electronic engineering, Binary number, Computer data storage and Memory management in his study of Chip. In general Voltage, his work in Node is often linked to Column linking many areas of study. His Electrical engineering study frequently links to related topics such as Power management.

Between 2018 and 2021, his most popular works were:

  • A 4096-Neuron 1M-Synapse 3.8-pJ/SOP Spiking Neural Network With On-Chip STDP Learning and Sparse Weights in 10-nm FinFET CMOS (28 citations)
  • An All-Digital Unified Physically Unclonable Function and True Random Number Generator Featuring Self-Calibrating Hierarchical Von Neumann Extraction in 14-nm Tri-gate CMOS (18 citations)
  • Why Compete When You Can Work Together: FPGA-ASIC Integration for Persistent RNNs (14 citations)

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

  • Electrical engineering
  • Central processing unit
  • Integrated circuit

Ram Krishnamurthy focuses on Voltage, Computer hardware, Efficient energy use, Memory array and Artificial intelligence. His work deals with themes such as CMOS, Ideal and Porting, which intersect with Voltage. The various areas that Ram Krishnamurthy examines in his Computer hardware study include Artificial neural network, Software implementation and Range.

The concepts of his Efficient energy use study are interwoven with issues in Floating point, Binary neural network, Electronic engineering and Chip. His Memory array study results in a more complete grasp of Electrical engineering. With his scientific publications, his incorporates both Electrical engineering and Charge.

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

Near-threshold voltage (NTV) design: opportunities and challenges

Himanshu Kaul;Mark Anders;Steven Hsu;Amit Agarwal.
design automation conference (2012)

307 Citations

A sub-130-nm conditional keeper technique

A. Alvandpour;R.K. Krishnamurthy;K. Soumyanath;S.Y. Borkar.
IEEE Journal of Solid-state Circuits (2002)

258 Citations

A 4-GHz 130-nm address generation unit with 32-bit sparse-tree adder core

S. Mathew;M. Anders;R.K. Krishnamurthy;S. Borkar.
IEEE Journal of Solid-state Circuits (2003)

184 Citations

16.2 A 0.19pJ/b PVT-variation-tolerant hybrid physically unclonable function circuit for 100% stable secure key generation in 22nm CMOS

Sanu K. Mathew;Sudhir K. Satpathy;Mark A. Anders;Himanshu Kaul.
international solid-state circuits conference (2014)

179 Citations

53 Gbps Native ${ m GF}(2 ^{4}) ^{2}$ Composite-Field AES-Encrypt/Decrypt Accelerator for Content-Protection in 45 nm High-Performance Microprocessors

S K Mathew;F Sheikh;M Kounavis;S Gueron.
IEEE Journal of Solid-state Circuits (2011)

138 Citations

A 320 mV 56 μW 411 GOPS/Watt Ultra-Low Voltage Motion Estimation Accelerator in 65 nm CMOS

H. Kaul;M.A. Anders;S.K. Mathew;S.K. Hsu.
IEEE Journal of Solid-state Circuits (2009)

135 Citations

Comparison of high-performance VLSI adders in the energy-delay space

V.G. Oklobdzija;B.R. Zeydel;H.Q. Dao;S. Mathew.
IEEE Transactions on Very Large Scale Integration Systems (2005)

133 Citations

2.4 Gbps, 7 mW All-Digital PVT-Variation Tolerant True Random Number Generator for 45 nm CMOS High-Performance Microprocessors

S. K. Mathew;S. Srinivasan;M. A. Anders;H. Kaul.
IEEE Journal of Solid-state Circuits (2012)

133 Citations

Sub-500-ps 64-b ALUs in 0.18-/spl mu/m SOI/bulk CMOS: design and scaling trends

S.K. Mathew;R.K. Krishnamurthy;M.A. Anders;R. Rios.
international solid-state circuits conference (2001)

125 Citations

An improved unified scalable radix-2 Montgomery multiplier

D. Harris;R. Krishnamurthy;M. Anders;S. Mathew.
symposium on computer arithmetic (2005)

124 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Ram Krishnamurthy

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 51

Dennis Sylvester

Dennis Sylvester

University of Michigan–Ann Arbor

Publications: 30

Vivek De

Vivek De

Intel (United States)

Publications: 26

David Blaauw

David Blaauw

University of Michigan–Ann Arbor

Publications: 26

Massimo Alioto

Massimo Alioto

National University of Singapore

Publications: 26

Vojin G. Oklobdzija

Vojin G. Oklobdzija

SambaNova Systems

Publications: 25

Takayasu Sakurai

Takayasu Sakurai

University of Tokyo

Publications: 19

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 19

Manoj Sachdev

Manoj Sachdev

University of Waterloo

Publications: 18

Makoto Takamiya

Makoto Takamiya

University of Tokyo

Publications: 16

Shekhar Borkar

Shekhar Borkar

Intel (United States)

Publications: 15

Wayne Burleson

Wayne Burleson

University of Massachusetts Amherst

Publications: 13

Muhammad M. Khellah

Muhammad M. Khellah

Intel (United States)

Publications: 13

Anantha P. Chandrakasan

Anantha P. Chandrakasan

MIT

Publications: 13

Luca Benini

Luca Benini

University of Bologna

Publications: 13

James W. Tschanz

James W. Tschanz

Intel (United States)

Publications: 12

Something went wrong. Please try again later.