World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
42
Citations
11205
World Ranking
4018
National Ranking
210

Bipin Rajendran 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 Bipin Rajendran 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: 153 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

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

Bipin Rajendran 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 Bipin Rajendran 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: 42 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Overview

Bipin Rajendran is affiliated with King's College London in the United Kingdom. Their research primarily spans the domains of engineering, computer science, and neuroscience, with significant contributions to the fields of electrical and electronic engineering, artificial intelligence, and cognitive as well as cellular and molecular neuroscience.

The scientist's work focuses on advanced topics in memory and neural computing, including ferroelectric and negative capacitance devices. Their research also addresses neural dynamics and brain function, neural networks and reservoir computing, neural networks and applications, CCD and CMOS imaging sensors, and neuroscience and neural engineering.

Frequent publication venues for Rajendran include:

  • arXiv (Cornell University)
  • Frontiers in Neuroscience
  • IEEE Transactions on Machine Learning in Communications and Networking
  • Repository for Publications and Research Data (ETH Zurich)
  • Advanced Intelligent Systems

Rajendran has collaborated extensively with several researchers, notably:

  • Osvaldo Simeone
  • Abu Sebastian
  • Prabodh Katti
  • Sabina Spiga
  • Damien Querlioz

The following are some recent publications authored or coauthored by Rajendran, with publication year and venue noted:

  • Accurate deep neural network inference using computational phase-change memory, 2020, Repository for Publications and Research Data (ETH Zurich)
  • Memristors-From In-Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio-Inspired Computing, 2020, Advanced Intelligent Systems
  • Mixed-Precision Deep Learning Based on Computational Memory, 2020, Frontiers in Neuroscience
  • Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses, 2020, Scientific Reports
  • Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning, 2022, IEEE Transactions on Computers

Best Publications

  • Phase Change Memory

    H P Wong;S Raoux;S Kim;J Liang

  • Phase change memory technology

    Geoffrey W. Burr;Matthew J. Breitwisch;Michele Franceschini;Davide Garetto

  • Neuromorphic computing with multi-memristive synapses

    Irem Boybat;Irem Boybat;Manuel Le Gallo;S. R. Nandakumar;S. R. Nandakumar;Timoleon Moraitis

  • Accurate deep neural network inference using computational phase-change memory.

    Vinay Joshi;Vinay Joshi;Manuel Le Gallo;Simon Haefeli;Simon Haefeli;Irem Boybat;Irem Boybat

  • A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons

    Jae-sun Seo;Bernard Brezzo;Yong Liu;Benjamin D. Parker

  • Write Strategies for 2 and 4-bit Multi-Level Phase-Change Memory

    T. Nirschl;J.B. Phipp;T.D. Happ;G.W. Burr

  • Memristors - from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing.

    Adnan Mehonic;Abu Sebastian;Bipin Rajendran;Osvaldo Simeone

  • Area efficient neuromorphic system that connects a FET in a diode configuration, and a variable resistance material to junctions of neuron circuit blocks

    Matthew J. Breitwisch;Chung Hon Lam;Dharmendra S. Modha;Bipin Rajendran

  • Nanoscale electronic synapses using phase change devices

    Bryan L. Jackson;Bipin Rajendran;Gregory S. Corrado;Matthew Breitwisch

  • Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems

    B. Rajendran;Yong Liu;Jae-sun Seo;K. Gopalakrishnan

  • Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches

    Bipin Rajendran;Abu Sebastian;Michael Schmuker;Narayan Srinivasa

  • Silicon nanowires for sequence-specific DNA sensing: device fabrication and simulation

    Z. Li;Bipin Rajendran;T. I. Kamins;X. Li

  • Spiking neural networks for handwritten digit recognition—Supervised learning and network optimization

    Shruti R. Kulkarni;Bipin Rajendran

  • A phase-change memory model for neuromorphic computing

    S. R. Nandakumar;S. R. Nandakumar;Manuel Le Gallo;Irem Boybat;Irem Boybat;Bipin Rajendran

  • Phase Change Memory: From Devices to Systems

    Moinuddin K. Qureshi;Sudhanva Gurumurthi;Bipin Rajendran

  • Novel Lithography-Independent Pore Phase Change Memory

    M. Breitwisch;T. Nirschl;C.F. Chen;Y. Zhu

  • Resistive memory devices having a not-and(nand) structure

    Matthew J. Breitwisch;Gary S. Ditlow;Michele M. Franceschini;Luis A. Lastras-Montano

  • Hardware analog-digital neural networks

    Bruce G. Elmegreen;Ralph Linsker;Dennis M. Newns;Bipin Rajendran

  • CMOS transistor processing compatible with monolithic 3-D integration

    Bipin Rajendran;R. S. Shenoy;D. J. Witte;N. S. Chokshi

  • Efficient scrub mechanisms for error-prone emerging memories

    Manu Awasthi;Manjunath Shevgoor;Kshitij Sudan;Bipin Rajendran

Frequent Co-Authors

Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Chung H. Lam
Chung H. Lam IBM (United States)
Dharmendra S. Modha
Dharmendra S. Modha IBM (United States)
Osvaldo Simeone
Osvaldo Simeone Northeastern University
Simone Raoux
Simone Raoux Helmholtz-Zentrum Berlin für Materialien und Energie
Hsiang-Lan Lung
Hsiang-Lan Lung Macronix International (Taiwan)
Geoffrey W. Burr
Geoffrey W. Burr IBM (United States)
Jae-sun Seo
Jae-sun Seo Cornell University

External Links

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering, expanding skills through online education can open diverse career opportunities. Many opt for a project management bachelor degree, which complements technical expertise with essential leadership and organizational skills.

Working professionals often benefit from accelerated online degree programs designed to help balance career demands with continued education. These programs enable quicker entry or advancement in the workforce.

For those interested in education, pursuing one of the best online teaching master's programs allows engineers to transition into instructional design or academic roles, sharing their expertise with future generations.

Additionally, many institutions offer competency based masters that emphasize mastering practical skills over traditional coursework, ideal for professionals looking for flexible, outcome-focused learning.

Best Scientists Citing Bipin Rajendran

Trending Scientists

Recently Published Articles