World's Best Scientists 2026 revealed!
Dharmendra S. Modha

Dharmendra S. Modha

D-Index & Metrics

Computer Science

D-Index
65
Citations
27448
World Ranking
2397
National Ranking
1197

Dharmendra S. Modha publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Dharmendra S. Modha sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 201 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Dharmendra S. Modha D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Dharmendra S. Modha sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 65 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2009 - ACM Gordon Bell Prize The Cat is Out of the Bag: Cortical Simulations with 109 Neurons, 1013 Synapses

Overview

Dharmendra S. Modha is affiliated with IBM in the United States and conducts research primarily in the fields of Computer Science and Engineering. Their work spans multiple subfields, with a focus on Artificial Intelligence, Electrical and Electronic Engineering, and Cellular and Molecular Neuroscience.

The areas of research and topics that Dharmendra S. Modha has been involved with include:

  • Advanced Memory and Neural Computing
  • CCD and CMOS Imaging Sensors
  • Neuroscience and Neural Engineering
  • Neural Networks and Applications
  • Natural Language Processing Techniques
  • Topic Modeling

Modha's recent publications reflect a concentration on neural networks, energy-efficient computation, and language model quantization. Notable papers include:

  • Neural inference at the frontier of energy, space, and time, 2023, published in Science
  • Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference, 2023, published on arXiv (Cornell University)
  • SiLQ: Simple Large Language Model Quantization-Aware Training, 2025, published on arXiv (Cornell University)

The venues where Modha has frequently published are arXiv (Cornell University), with two publications, and Science, with one publication.

Dharmendra S. Modha has collaborated frequently with a number of co-authors, including:

  • Steven K. Esser
  • Rathinakumar Appuswamy
  • Deepika Bablani
  • Jeffrey L. McKinstry
  • Filipp Akopyan

In 2009, Modha was awarded the ACM Gordon Bell Prize for work titled "The Cat is Out of the Bag: Cortical Simulations with 10^9 Neurons, 10^13 Synapses."

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

  • Concept Decompositions for Large Sparse Text Data Using Clustering

    Inderjit S. Dhillon;Dharmendra S. Modha

  • Information-theoretic co-clustering

    Inderjit S. Dhillon;Subramanyam Mallela;Dharmendra S. Modha

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

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

  • ARC: a self-tuning, low overhead replacement cache

    Nimrod Megiddo;Dharmendra S. Modha

  • A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation

    Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu

  • Convolutional networks for fast, energy-efficient neuromorphic computing

    Steven K. Esser;Paul A. Merolla;John V. Arthur;Andrew S. Cassidy

  • A Low Power, Fully Event-Based Gesture Recognition System

    Arnon Amir;Brian Taba;David Berg;Timothy Melano

  • Backpropagation for energy-efficient neuromorphic computing

    Steve K. Esser;Rathinakumar Appuswamy;Paul A. Merolla;John V. Arthur

  • A Data-Clustering Algorithm on Distributed Memory Multiprocessors

    Inderjit S. Dhillon;Dharmendra S. Modha

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

    Paul Merolla;John Arthur;Filipp Akopyan;Nabil Imam

  • Feature Weighting in k -Means Clustering

    Dharmendra S. Modha;W. Scott Spangler

  • Cognitive computing

    Dharmendra S. Modha;Rajagopal Ananthanarayanan;Steven K. Esser;Anthony Ndirango

  • 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

  • Fully automatic cross-associations

    Deepayan Chakrabarti;Spiros Papadimitriou;Dharmendra S. Modha;Christos Faloutsos

  • The cat is out of the bag: cortical simulations with 109 neurons, 1013 synapses

    Rajagopal Ananthanarayanan;Steven K. Esser;Horst D. Simon;Dharmendra S. Modha

  • CAR: Clock with Adaptive Replacement

    Sorav Bansal;Dharmendra S. Modha

  • LEARNED STEP SIZE QUANTIZATION

    Steven K. Esser;Jeffrey L. McKinstry;Deepika Bablani;Rathinakumar Appuswamy

  • System and method for adaptively managing pages in a memory

    Nimrod Megiddo;Dharmendra Shantilal Modha

  • Network architecture of the long-distance pathways in the macaque brain

    Dharmendra S. Modha;Raghavendra Singh

  • Outperforming LRU with an adaptive replacement cache algorithm

    N. Megiddo;D.S. Modha

Frequent Co-Authors

Myron D. Flickner
Myron D. Flickner IBM (United States)
Arnon Amir
Arnon Amir IBM (United States)
Bipin Rajendran
Bipin Rajendran King's College London
Matthew J. Breitwisch
Matthew J. Breitwisch IBM (United States)
Inderjit S. Dhillon
Inderjit S. Dhillon Google (United States)
Rajit Manohar
Rajit Manohar Yale University
Nimrod Megiddo
Nimrod Megiddo IBM (United States)
Daniel J. Friedman
Daniel J. Friedman IBM (United States)
Leland Chang
Leland Chang IBM Research - Thomas J. Watson Research Center
Subramanian S. Iyer
Subramanian S. Iyer University of California, Los Angeles

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