Dharmendra S. Modha

68 papers receiving 10.4k citations

Dharmendra S. Modha's Hit Papers

A Low Power, Fully Event-Based Gesture Recognition System 2017 · 559 citations
5590+8+16Years since publication50010001.5k2.0k2.5k

Peers

Dharmendra S. Modha
Comparison fields: 5 of 161
  • Cognitive Neuroscience 2.6k
  • Artificial Intelligence 4.1k
  • Cellular and Molecular Neuroscience 2.1k
  • Electrical and Electronic Engineering 6.3k
  • Hardware and Architecture 658
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Citations per year

Countries citing papers authored by Dharmendra S. Modha

Since Specialization
Citations

This map shows the geographic impact of Dharmendra S. Modha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dharmendra S. Modha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dharmendra S. Modha more than expected).

Fields of papers citing papers by Dharmendra S. Modha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dharmendra S. Modha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dharmendra S. Modha. The network helps show where Dharmendra S. Modha may publish in the future.

Co-authors

The 25 scholars most cited alongside Dharmendra S. Modha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dharmendra S. Modha Line = papers co-authored together Dharmendra S. Modha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A million spiking-neuron integrated circuit with a scalable communication network and interface
Hit paper breakdown →
20142780
2
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
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20151064
3
Concept Decompositions for Large Sparse Text Data Using Clustering
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2001823
4
Information-theoretic co-clustering
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2003657
5
ARC: a self-tuning, low overhead replacement cache
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2003571
6
A Low Power, Fully Event-Based Gesture Recognition System
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2017559
7
Convolutional networks for fast, energy-efficient neuromorphic computing
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2016482
8 2011315
9 2003269
10 2011264
11 2003249
12 2011200
13 2010187
14 2009175
15 2013171
16
Backpropagation for energy-efficient neuromorphic computing
2015170
17 2004162
18
CAR: Clock with Adaptive Replacement
2004153
19 2004152
20 2013117

About Dharmendra S. Modha

Dharmendra S. Modha is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 10.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Neural dynamics and brain function (18 papers), Neural Networks and Applications (9 papers), Advanced Data Storage Technologies (9 papers), Algorithms and Data Compression (8 papers), Neuroscience and Neural Engineering (7 papers), Caching and Content Delivery (7 papers) and Error Correcting Code Techniques (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Artificial Intelligence (4.1k citations), Cellular and Molecular Neuroscience (2.1k citations), Electrical and Electronic Engineering (6.3k citations) and Hardware and Architecture (658 citations). Dharmendra S. Modha has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Inderjit S. Dhillon, Nimrod Megiddo, John V. Arthur, Paul Merolla, Subramanyam Mallela, Steven K. Esser, Filipp Akopyan, Nabil Imam, Rajit Manohar and Brian Taba. Their work appears in journals such as IEEE Transactions on Information Theory, Machine Learning, IEEE Journal on Selected Areas in Communications, Proceedings of the National Academy of Sciences and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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