H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering H-index 31 Citations 7,413 117 World Ranking 3431 National Ranking 1337

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Artificial intelligence
  • Integrated circuit

Naveen Verma mostly deals with Electronic engineering, Low-power electronics, Electrical engineering, Static random-access memory and Low voltage. Naveen Verma works in the field of Electronic engineering, focusing on CMOS in particular. His CMOS research incorporates elements of Bit cell and Sampling.

The Static random-access memory study combines topics in areas such as Classifier, Computation and Learning classifier system. His Low voltage research incorporates themes from Switched capacitor and Logic gate. His research in Energy harvesting intersects with topics in Integrated circuit design and Electronics.

His most cited work include:

  • 3D Printed Bionic Ears (517 citations)
  • Graphene-based wireless bacteria detection on tooth enamel (509 citations)
  • A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System (395 citations)

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

Naveen Verma mainly focuses on Electronic engineering, CMOS, Electronics, Electrical engineering and Computer hardware. His research in the fields of Static random-access memory overlaps with other disciplines such as Low-power electronics. His CMOS research includes themes of Comparator, Capacitive coupling and Embedded system.

His research integrates issues of Structural health monitoring, Hybrid system, Transceiver, Transistor and Interfacing in his study of Electronics. Naveen Verma interconnects Wireless and Energy harvesting in the investigation of issues within Electrical engineering. His study in Computer hardware is interdisciplinary in nature, drawing from both Fault tolerance, Data-driven, Feature extraction and Inference.

He most often published in these fields:

  • Electronic engineering (33.33%)
  • CMOS (25.73%)
  • Electronics (23.98%)

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

  • CMOS (25.73%)
  • Computer hardware (14.04%)
  • Throughput (5.26%)

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

His primary areas of investigation include CMOS, Computer hardware, Throughput, Electronics and Scalability. The study incorporates disciplines such as Hybrid system and Robustness in addition to CMOS. His Computer hardware study also includes fields such as

  • Neuromodulation together with Stimulus, Electroencephalography and Signal processing,
  • Waveform which connect with Dimensionality reduction, Epilepsy and Autoencoder.

His work carried out in the field of Electronics brings together such families of science as Transistor, Electronic engineering, Structural health monitoring and Thin-film transistor. His Computation study deals with Boosting intersecting with Algorithm. His biological study spans a wide range of topics, including Feature extraction and Genetic programming.

Between 2017 and 2021, his most popular works were:

  • A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute (48 citations)
  • A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement (45 citations)
  • In-Memory Computing: Advances and prospects (39 citations)

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

  • Electrical engineering
  • Artificial intelligence
  • Integrated circuit

In-Memory Processing, Computer hardware, Throughput, CMOS and Efficient energy use are his primary areas of study. He has researched Computer hardware in several fields, including Inference, Neuromodulation, Waveform, Brain–computer interface and Neurostimulation. Naveen Verma connects CMOS with Scalability in his research.

Naveen Verma combines subjects such as Computational statistics, System on a chip and Statistical model with his study of Efficient energy use. His study looks at the relationship between Computation and topics such as Segmentation, which overlap with Algorithm. In his research on the topic of Algorithm, Feature extraction is strongly related with Lossy compression.

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

3D Printed Bionic Ears

Manu S. Mannoor;Ziwen Jiang;Teena James;Yong Lin Kong.
Nano Letters (2013)

742 Citations

Graphene-based wireless bacteria detection on tooth enamel

Manu Sebastian Mannoor;Hu Tao;Jefferson D. Clayton;Amartya Sengupta.
Nature Communications (2012)

585 Citations

A Micro-Power EEG Acquisition SoC With Integrated Feature Extraction Processor for a Chronic Seizure Detection System

Naveen Verma;Ali Shoeb;Jose Bohorquez;Joel Dawson.
IEEE Journal of Solid-state Circuits (2010)

499 Citations

A 256 kb 65 nm 8T Subthreshold SRAM Employing Sense-Amplifier Redundancy

N. Verma;A.P. Chandrakasan.
IEEE Journal of Solid-state Circuits (2008)

490 Citations

A 65 nm Sub- $V_{t}$ Microcontroller With Integrated SRAM and Switched Capacitor DC-DC Converter

J. Kwong;Y.K. Ramadass;N. Verma;A.P. Chandrakasan.
IEEE Journal of Solid-state Circuits (2009)

450 Citations

An Ultra Low Energy 12-bit Rate-Resolution Scalable SAR ADC for Wireless Sensor Nodes

N. Verma;A.P. Chandrakasan.
IEEE Journal of Solid-state Circuits (2007)

413 Citations

Design considerations for ultra-low energy wireless microsensor nodes

B.H. Calhoun;D.C. Daly;Naveen Verma;D.F. Finchelstein.
IEEE Transactions on Computers (2005)

357 Citations

Ultralow-Power Electronics for Biomedical Applications

Anantha P Chandrakasan;Naveen Verma;Denis C Daly.
Annual Review of Biomedical Engineering (2008)

326 Citations

A 65nm 8T Sub-Vt SRAM Employing Sense-Amplifier Redundancy

Naveen Verma;A.P. Chandrakasan.
international solid-state circuits conference (2007)

237 Citations

Nanometer MOSFET Variation in Minimum Energy Subthreshold Circuits

N. Verma;J. Kwong;A.P. Chandrakasan.
IEEE Transactions on Electron Devices (2008)

232 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.

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

Contact us

Top Scientists Citing Naveen Verma

Anantha P. Chandrakasan

Anantha P. Chandrakasan

MIT

Publications: 49

Dennis Sylvester

Dennis Sylvester

University of Michigan–Ann Arbor

Publications: 47

David Blaauw

David Blaauw

University of Michigan–Ann Arbor

Publications: 42

Benton H. Calhoun

Benton H. Calhoun

University of Virginia

Publications: 36

Naresh R. Shanbhag

Naresh R. Shanbhag

University of Illinois at Urbana-Champaign

Publications: 28

Meng-Fan Chang

Meng-Fan Chang

National Tsing Hua University

Publications: 26

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 25

Massimo Alioto

Massimo Alioto

National University of Singapore

Publications: 23

Luca Benini

Luca Benini

University of Bologna

Publications: 22

Wim Dehaene

Wim Dehaene

KU Leuven

Publications: 21

Saraju P. Mohanty

Saraju P. Mohanty

University of North Texas

Publications: 20

Chris Van Hoof

Chris Van Hoof

KU Leuven

Publications: 19

Denis Flandre

Denis Flandre

Université Catholique de Louvain

Publications: 17

Refet Firat Yazicioglu

Refet Firat Yazicioglu

Interuniversity Microelectronics Centre

Publications: 17

Kofi A. A. Makinwa

Kofi A. A. Makinwa

Delft University of Technology

Publications: 17

Something went wrong. Please try again later.