World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
11375
World Ranking
9312
National Ranking
2605

Rajit Manohar publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Rajit Manohar sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 163 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Rajit Manohar D-index placement in Engineering and Technology in 2026

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

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Rajit Manohar is affiliated with Yale University in the United States and has an extensive body of research spanning engineering, computer science, and neuroscience. Their work primarily focuses on the intersections of advanced memory and neural computing, low-power high-performance VLSI design, and neuroscience and neural engineering.

The main fields of study for Rajit Manohar include:

  • Engineering
  • Computer Science
  • Neuroscience

Within these areas, the subfields of study often addressed are:

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Artificial Intelligence

The main topics covered by Rajit Manohar's research work encompass:

  • Advanced Memory and Neural Computing
  • Low-power high-performance VLSI design
  • Neuroscience and Neural Engineering
  • VLSI and FPGA Design Techniques
  • EEG and Brain-Computer Interfaces
  • Ferroelectric and Negative Capacitance Devices
  • VLSI and Analog Circuit Testing

Rajit Manohar has co-authored publications with several frequent collaborators, including:

  • Karthik Sriram
  • Abhishek Bhattacharjee
  • Jiayuan He
  • Keshav Pingali
  • Raghavendra Pradyumna Pothukuchi

The scientist's published papers appear notably in venues such as:

  • arXiv (Cornell University)
  • IEEE Micro
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • JMIR Formative Research
  • Nature Communications

Selected recent papers by Rajit Manohar include:

  • The neurobench framework for benchmarking neuromorphic computing algorithms and systems, 2025, Nature Communications
  • SPRoute 2.0: A detailed-routability-driven deterministic parallel global router with soft capacity, 2022, 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC)
  • An Open-Source EDA Flow for Asynchronous Logic, 2021, IEEE Design and Test
  • NeuroBench: A Framework for Benchmarking Neuromorphic Computing Algorithms and Systems, 2023, Lirias (KU Leuven)
  • Pilot Evaluations of Two Bluetooth Contact Tracing Approaches on a University Campus: Mixed Methods Study, 2021, JMIR Formative Research

Best Publications

  • A million spiking-neuron integrated circuit with a scalable communication network and interface

    Paul A. Merolla;John V. Arthur;Rodrigo Alvarez-Icaza;Andrew S. Cassidy

  • TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip

    Filipp Akopyan;Jun Sawada;Andrew Cassidy;Rodrigo Alvarez-Icaza

  • A digital neurosynaptic core using embedded crossbar memory with 45pJ per spike in 45nm

    Paul Merolla;John Arthur;Filipp Akopyan;Nabil Imam

  • The design of an asynchronous MIPS R3000 microprocessor

    A.J. Martin;A. Lines;R. Manohar;M. Nystrom

  • Highly pipelined asynchronous FPGAs

    John Teifel;Rajit Manohar

  • Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model

    Alexander Neckar;Sam Fok;Ben V. Benjamin;Terrence C. Stewart

  • Building block of a programmable neuromorphic substrate: A digital neurosynaptic core

    John V. Arthur;Paul A. Merolla;Filipp Akopyan;Rodrigo Alvarez

  • Utilizing Dynamically Coupled Cores to Form a Resilient Chip Multiprocessor

    C. LaFrieda;E. Ipek;J.F. Martinez;R. Manohar

  • An asynchronous dataflow FPGA architecture

    J. Teifel;R. Manohar

  • An ultra low-power processor for sensor networks

    Virantha Ekanayake;Clinton Kelly;Rajit Manohar

  • Programmable asynchronous pipeline arrays

    John R. Teifel;Rajit Manohar

  • A level-crossing flash asynchronous analog-to-digital converter

    F. Akopyan;R. Manohar;A.B. Apsel

  • Asynchronous analog-to-digital converter and method

    Filipp Akopyan;Alyssa Apsel;Rajit Manohar

  • Neuromorphic event-driven neural computing architecture in a scalable neural network

    Filipp Akopyan;John V. Arthur;Rajit Manohar;Paul A. Merolla

  • Slack Elasticity in Concurrent Computing

    Rajit Manohar;Alain J. Martin

  • Real-time scalable cortical computing at 46 giga-synaptic OPS/watt with ~100× speedup in time-to-solution and ~100,000× reduction in energy-to-solution

    Andrew S. Cassidy;Rodrigo Alvarez-Icaza;Filipp Akopyan;Jun Sawada

  • Pipelined asynchronous processing

    Alain J. Martin;Andrew Lines;Rajit Manohar;Uri Cummings

  • Fault detection and isolation techniques for quasi delay-insensitive circuits

    C. LaFrieda;R. Manohar

  • SNAP: a Sensor-Network Asynchronous Processor

    C. Kelly;V. Ekanayake;R. Manohar

  • Automated conversion of synchronous to asynchronous circuit design representations

    Rajit Manohar

Frequent Co-Authors

Alain J. Martin
Alain J. Martin California Institute of Technology
Dharmendra S. Modha
Dharmendra S. Modha IBM (United States)
Sunil A. Bhave
Sunil A. Bhave Purdue University West Lafayette
Yoram Moses
Yoram Moses Technion – Israel Institute of Technology
Yannis Tsividis
Yannis Tsividis Columbia University
Keshav Pingali
Keshav Pingali The University of Texas at Austin
François Guimbretière
François Guimbretière Cornell University
Michael B. Steer
Michael B. Steer North Carolina State University
Paul D. Franzon
Paul D. Franzon North Carolina State University
Yong Lian
Yong Lian York University

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