D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 54 Citations 20,069 130 World Ranking 2251 National Ranking 1217

Research.com Recognitions

Awards & Achievements

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Algorithm

Dharmendra S. Modha mostly deals with TrueNorth, Parallel computing, Neuromorphic engineering, Cluster analysis and Synapse. His TrueNorth research incorporates themes from Frame, Pixel, Chip, Von Neumann architecture and Cognitive computing. His study in the field of Cache also crosses realms of Throughput.

His Neuromorphic engineering study incorporates themes from Scalability, Computer hardware, Static random-access memory and Spiking neural network. His Cluster analysis study integrates concerns from other disciplines, such as Disjoint sets, Algorithm, Set and Pattern recognition. The concepts of his Synapse study are interwoven with issues in Theoretical computer science, Neuron, Dendrite and Topology.

His most cited work include:

  • A million spiking-neuron integrated circuit with a scalable communication network and interface (2022 citations)
  • Concept Decompositions for Large Sparse Text Data Using Clustering (1133 citations)
  • Information-theoretic co-clustering (939 citations)

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

His primary areas of investigation include Computer hardware, Artificial neural network, Artificial intelligence, Neuromorphic engineering and Electronic circuit. Dharmendra S. Modha combines subjects such as Set, Electronic engineering, Core and Spiking neural network with his study of Computer hardware. His studies in Artificial neural network integrate themes in fields like Substrate, Inference, Neuron and Parallel computing.

His Artificial intelligence study combines topics in areas such as Machine learning, Computer vision and Pattern recognition. His research in Neuromorphic engineering is mostly focused on TrueNorth. His research in TrueNorth focuses on subjects like Scalability, which are connected to Computer architecture.

He most often published in these fields:

  • Computer hardware (22.67%)
  • Artificial neural network (22.22%)
  • Artificial intelligence (16.44%)

What were the highlights of his more recent work (between 2015-2020)?

  • Artificial neural network (22.22%)
  • Artificial intelligence (16.44%)
  • Computer hardware (22.67%)

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

Dharmendra S. Modha mainly focuses on Artificial neural network, Artificial intelligence, Computer hardware, Algorithm and TrueNorth. His study in Artificial neural network is interdisciplinary in nature, drawing from both Substrate, Inference, Neuron, Parallel computing and Topology. His Artificial intelligence research integrates issues from Sequence, Computer vision and Pattern recognition.

His research integrates issues of Routing, Hardware software, Multi-core processor and Asynchronous communication in his study of Computer hardware. His Quantization and Error detection and correction study in the realm of Algorithm connects with subjects such as Sequence and Quantization. His study on TrueNorth is covered under Neuromorphic engineering.

Between 2015 and 2020, his most popular works were:

  • Convolutional networks for fast, energy-efficient neuromorphic computing (424 citations)
  • A Low Power, Fully Event-Based Gesture Recognition System (151 citations)
  • Deep neural networks are robust to weight binarization and other non-linear distortions (65 citations)

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

  • Artificial intelligence
  • Operating system
  • Algorithm

His scientific interests lie mostly in TrueNorth, Artificial intelligence, Algorithm, Quantization and Neuromorphic engineering. Dharmendra S. Modha has researched TrueNorth in several fields, including Feature extraction, Computer architecture and Massively parallel, Parallel computing. His Parallel computing study integrates concerns from other disciplines, such as Telecommunications network, Backpropagation and Efficient energy use.

He has included themes like Latency and Computer vision in his Artificial intelligence study. His Algorithm research includes elements of Dimension and Robustness. The study incorporates disciplines such as Boltzmann machine, Very-large-scale integration, Markov process and Electronic design automation in addition to Neuromorphic engineering.

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.

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.
Science (2014)

2605 Citations

Concept Decompositions for Large Sparse Text Data Using Clustering

Inderjit S. Dhillon;Dharmendra S. Modha.
Machine Learning (2001)

1684 Citations

Information-theoretic co-clustering

Inderjit S. Dhillon;Subramanyam Mallela;Dharmendra S. Modha.
knowledge discovery and data mining (2003)

1543 Citations

ARC: a self-tuning, low overhead replacement cache

Nimrod Megiddo;Dharmendra S. Modha.
file and storage technologies (2003)

1180 Citations

Convolutional networks for fast, energy-efficient neuromorphic computing

Steven K. Esser;Paul A. Merolla;John V. Arthur;Andrew S. Cassidy.
Proceedings of the National Academy of Sciences of the United States of America (2016)

678 Citations

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

Filipp Akopyan;Jun Sawada;Andrew Cassidy;Rodrigo Alvarez-Icaza.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2015)

660 Citations

Backpropagation for energy-efficient neuromorphic computing

Steve K. Esser;Rathinakumar Appuswamy;Paul A. Merolla;John V. Arthur.
neural information processing systems (2015)

643 Citations

A Data-Clustering Algorithm on Distributed Memory Multiprocessors

Inderjit S. Dhillon;Dharmendra S. Modha.
knowledge discovery and data mining (1999)

559 Citations

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

Arindam Banerjee;Inderjit Dhillon;Joydeep Ghosh;Srujana Merugu.
Journal of Machine Learning Research (2007)

506 Citations

Feature Weighting in k -Means Clustering

Dharmendra S. Modha;W. Scott Spangler.
Machine Learning (2003)

483 Citations

Best Scientists Citing Dharmendra S. Modha

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Kaushik Roy

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Giacomo Indiveri

Giacomo Indiveri

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Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

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Steve Furber

Steve Furber

University of Manchester

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Joydeep Ghosh

Joydeep Ghosh

The University of Texas at Austin

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Shimeng Yu

Shimeng Yu

Georgia Institute of Technology

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Yiran Chen

Yiran Chen

Duke University

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Evangelos S. Eleftheriou

Evangelos S. Eleftheriou

IBM (United States)

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Tao Li

Tao Li

Florida International University

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Bipin Rajendran

Bipin Rajendran

King's College London

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Eugene M. Izhikevich

Eugene M. Izhikevich

Neurosciences Institute

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Paul R. Prucnal

Paul R. Prucnal

Princeton University

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Gert Cauwenberghs

Gert Cauwenberghs

University of California, San Diego

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Abu Sebastian

Abu Sebastian

IBM Research - Zurich

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Hai Li

Hai Li

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Yuan Xie

Yuan Xie

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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