Dharmendra S. Modha

17.6k citations
68 papers · 10.9k indexed · 7 hit papers · h-index 36
Topics
Advanced Memory and Neural Computing (24 papers)Neural dynamics and brain function (18 papers)Advanced Data Storage Technologies (9 papers)

In The Last Decade

Dharmendra S. Modha

68 papers receiving 10.4k citations

Hit Papers

A million spiking-neuron integrated circu...20012026200920172014201520012003200350010001.5k2.0k2.5k

Peers

Dharmendra S. Modha
Comparison fields: 5 of 161
  • Electrical and Electronic Engineering 6.3k
  • Artificial Intelligence 4.1k
  • Cognitive Neuroscience 2.6k
  • Cellular and Molecular Neuroscience 2.1k
  • Computer Networks and Communications 1.6k
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Citations per field
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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-authorship network of co-authors of Dharmendra S. Modha

This figure shows the co-authorship network connecting the top 25 collaborators of Dharmendra S. Modha. A scholar is included among the top collaborators of Dharmendra S. Modha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dharmendra S. Modha. Dharmendra S. Modha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
LEARNED STEP SIZE QUANTIZATION
38
2
A Low Power, Fully Event-Based Gesture Recognition Systembreakdown →
559
3 10
4
TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition
12
5
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chipbreakdown →
1064
6
Backpropagation for energy-efficient neuromorphic computing
170
7 27
8 315
9 7
10 6
11 37
12
SARC: sequential prefetching in adaptive replacement cache
83
13 63
14
CAR: Clock with Adaptive Replacement
153
15 97
16
One Up on LRU
11
17
ARC: a self-tuning, low overhead replacement cachebreakdown →
571
18 3
19 60
20 24

About Dharmendra S. Modha

Dharmendra S. Modha is a scholar working on Computational Mathematics, Cognitive Neuroscience and Artificial Intelligence, 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) and Advanced Data Storage Technologies (9 papers). The work is most often cited by research in Cognitive Neuroscience (2.6k citations), Artificial Intelligence (4.1k citations) and Cellular and Molecular Neuroscience (2.1k 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, Rajit Manohar, Nabil Imam and Brian Taba. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

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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