Dharmendra S. Modha
Impact in
- Cognitive Neuroscience top 0.5%
- Neural dynamics and brain function
- Artificial Intelligence top 0.1%
- Neural Networks and Reservoir Computing
- Advanced Clustering Algorithms Research
Papers in
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- Neural Networks and Applications 9
- Algorithms and Data Compression 8
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- Advanced Memory and Neural Computing 25
- Ferroelectric and Negative Capacitance Devices 6
- Co-authors
- Inderjit S. Dhillon (6 shared papers)Nimrod Megiddo (3 shared papers)John V. Arthur (15 shared papers)Paul Merolla (13 shared papers)Steven K. Esser (11 shared papers)Subramanyam Mallela (2 shared papers)Filipp Akopyan (8 shared papers)Rajit Manohar (6 shared papers)
- Journals
- IEEE Transactions on Information Theory (4 papers)Machine Learning (3 papers)Proceedings of the National Academy of Sciences (2 papers)IEEE Journal on Selected Areas in Communications (2 papers)ACM SIGMETRICS Performance Evaluation Review (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Dharmendra S. Modha
69 papers receiving 10.6k citations
Dharmendra S. Modha's Hit Papers
Peers
Comparison fields: 5 of 160
- Cognitive Neuroscience 2.7k
- Artificial Intelligence 4.2k
- Cellular and Molecular Neuroscience 2.2k
- Electrical and Electronic Engineering 6.4k
- Hardware and Architecture 664
Countries citing papers authored by Dharmendra S. Modha
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
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.
All Works
Showing the 20 most-cited of 69 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 → | 2014 | 2852 |
| 2 | TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip Hit paper breakdown → | 2015 | 1098 |
| 3 | Concept Decompositions for Large Sparse Text Data Using Clustering Hit paper breakdown → | 2001 | 828 |
| 4 | Information-theoretic co-clustering Hit paper breakdown → | 2003 | 658 |
| 5 | A Low Power, Fully Event-Based Gesture Recognition System Hit paper breakdown → | 2017 | 582 |
| 6 | ARC: a self-tuning, low overhead replacement cache Hit paper breakdown → | 2003 | 569 |
| 7 | Convolutional networks for fast, energy-efficient neuromorphic computing Hit paper breakdown → | 2016 | 490 |
| 8 | 2011 | 319 | |
| 9 | 2003 | 269 | |
| 10 | 2011 | 269 | |
| 11 | 2003 | 250 | |
| 12 | 2011 | 205 | |
| 13 | 2010 | 191 | |
| 14 | 2009 | 177 | |
| 15 | 2013 | 171 | |
| 16 | Backpropagation for energy-efficient neuromorphic computing | 2015 | 169 |
| 17 | 2004 | 162 | |
| 18 | 2004 | 153 | |
| 19 | CAR: Clock with Adaptive Replacement | 2004 | 151 |
| 20 | 2013 | 116 |
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 69 papers that have together received 11.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (25 papers), Neural dynamics and brain function (19 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 Ferroelectric and Negative Capacitance Devices (6 papers). The work is most often cited by research in Cognitive Neuroscience (2.7k citations), Artificial Intelligence (4.2k citations), Cellular and Molecular Neuroscience (2.2k citations), Electrical and Electronic Engineering (6.4k citations) and Hardware and Architecture (664 citations). Dharmendra S. Modha has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Inderjit S. Dhillon, Nimrod Megiddo, John V. Arthur, Paul Merolla, Steven K. Esser, Subramanyam Mallela, Filipp Akopyan, Rajit Manohar, Nabil Imam and Brian Taba. Their work appears in journals such as IEEE Transactions on Information Theory, Machine Learning, Proceedings of the National Academy of Sciences, IEEE Journal on Selected Areas in Communications and ACM SIGMETRICS Performance Evaluation Review.
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.