World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
40
Citations
10939
World Ranking
4397
National Ranking
1565

Naveen Verma publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Naveen Verma sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 185 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Naveen Verma D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Naveen Verma sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 40 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Overview

Naveen Verma is affiliated with Princeton University in the United States. Their research primarily spans the field of engineering, with a strong concentration in electrical and electronic engineering. Their work also covers mechanical engineering, biomedical engineering, artificial intelligence, and computer vision and pattern recognition.

Their research topics include advanced memory and neural computing, ferroelectric and negative capacitance devices, advanced materials and mechanics, soft robotics and applications, advanced neural network applications, micro and nano robotics, and structural health monitoring techniques.

Frequent coauthors collaborating with Naveen Verma include S. Wagner, James C. Sturm, Prakhar Kumar, Peter Deaville, and Zhiwu Zheng.

Verma has contributed to multiple publication venues, primarily:

  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • arXiv (Cornell University)
  • 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • IEEE Transactions on Robotics

Notable recent papers authored or coauthored by Naveen Verma include:

  • "A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing", 2020, IEEE Journal of Solid-State Circuits
  • "Scalable and Programmable Neural Network Inference Accelerator Based on In-Memory Computing", 2021, IEEE Journal of Solid-State Circuits
  • "A 22nm 128-kb MRAM Row/Column-Parallel In-Memory Computing Macro with Memory-Resistance Boosting and Multi-Column ADC Readout", 2022, 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits)
  • "Large-Area Resistive Strain Sensing Sheet for Structural Health Monitoring", 2020, Sensors
  • "A phased array based on large-area electronics that operates at gigahertz frequency", 2021, Nature Electronics

Best Publications

  • Graphene-based wireless bacteria detection on tooth enamel

    Manu Sebastian Mannoor;Hu Tao;Jefferson D. Clayton;Amartya Sengupta

  • 3D printed bionic ears.

    Manu S. Mannoor;Ziwen Jiang;Teena James;Yong Lin Kong

  • 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

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

    N. Verma;A.P. Chandrakasan

  • In-Memory Computation of a Machine-Learning Classifier in a Standard 6T SRAM Array

    Jintao Zhang;Zhuo Wang;Naveen Verma

  • 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

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

    N. Verma;A.P. Chandrakasan

  • In-Memory Computing: Advances and prospects

    Naveen Verma;Hongyang Jia;Hossein Valavi;Yinqi Tang

  • Ultralow-Power Electronics for Biomedical Applications

    Anantha P Chandrakasan;Naveen Verma;Denis C Daly

  • Design considerations for ultra-low energy wireless microsensor nodes

    B.H. Calhoun;D.C. Daly;Naveen Verma;D.F. Finchelstein

  • A 64-Tile 2.4-Mb In-Memory-Computing CNN Accelerator Employing Charge-Domain Compute

    Hossein Valavi;Peter J. Ramadge;Eric Nestler;Naveen Verma

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

    Naveen Verma;A.P. Chandrakasan

  • Nanometer MOSFET Variation in Minimum Energy Subthreshold Circuits

    N. Verma;J. Kwong;A.P. Chandrakasan

  • A 65nm Sub-V t Microcontroller with Integrated SRAM and Switched-Capacitor DC-DC Converter

    J. Kwong;Y. Ramadass;N. Verma;M. Koesler

  • A Low-Power Processor With Configurable Embedded Machine-Learning Accelerators for High-Order and Adaptive Analysis of Medical-Sensor Signals

    Kyong Ho Lee;N. Verma

  • A Programmable Heterogeneous Microprocessor Based on Bit-Scalable In-Memory Computing

    Hongyang Jia;Hossein Valavi;Yinqi Tang;Jintao Zhang

  • A machine-learning classifier implemented in a standard 6T SRAM array

    Jintao Zhang;Zhuo Wang;Naveen Verma

  • A Reconfigurable 8T Ultra-Dynamic Voltage Scalable (U-DVS) SRAM in 65 nm CMOS

    M.E. Sinangil;N. Verma;A.P. Chandrakasan

  • A Programmable Neural-Network Inference Accelerator Based on Scalable In-Memory Computing

    Hongyang Jia;Murat Ozatay;Yinqi Tang;Hossein Valavi

  • A 25/spl mu/W 100kS/s 12b ADC for wireless micro-sensor applications

    N. Verma;A.P. Chandrakasan

  • A Mixed-Signal Binarized Convolutional-Neural-Network Accelerator Integrating Dense Weight Storage and Multiplication for Reduced Data Movement

    Hossein Valavi;Peter J. Ramadge;Eric Nestler;Naveen Verma

  • Technologies for Ultradynamic Voltage Scaling

    A.P. Chandrakasan;D.C. Daly;D.F. Finchelstein;J. Kwong

Frequent Co-Authors

James C. Sturm
James C. Sturm Princeton University
Sigurd Wagner
Sigurd Wagner Princeton University
Branko Glisic
Branko Glisic Princeton University
Niraj K. Jha
Niraj K. Jha Princeton University
Benton H. Calhoun
Benton H. Calhoun University of Virginia
Michael C. McAlpine
Michael C. McAlpine University of Minnesota
Fiorenzo G. Omenetto
Fiorenzo G. Omenetto Tufts University
Hu Tao
Hu Tao Chinese Academy of Sciences
Rajesh R. Naik
Rajesh R. Naik United States Air Force Research Laboratory

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