Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A million spiking-neuron integrated circuit with a scalable communication network and interface
20142.8k citationsPaul Merolla, John V. Arthur et al.profile →
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
20151.1k citationsFilipp Akopyan, Jun Sawada et al.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systemsprofile →
Concept Decompositions for Large Sparse Text Data Using Clustering
2001823 citationsInderjit S. Dhillon, Dharmendra S. Modhaprofile →
Information-theoretic co-clustering
2003657 citationsInderjit S. Dhillon, Dharmendra S. Modha et al.profile →
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
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
1.
Esser, Steven K., Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, & Dharmendra S. Modha. (2020). LEARNED STEP SIZE QUANTIZATION. International Conference on Learning Representations.38 indexed citations
2.
Amir, Arnon, Brian Taba, David Van Den Berg, et al.. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7388–7397.559 indexed citations breakdown →
Cassidy, Andrew S., Jun Sawada, Paul Merolla, et al.. (2016). TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition.12 indexed citations
5.
Akopyan, Filipp, Jun Sawada, Andrew S. Cassidy, et al.. (2015). TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 34(10). 1537–1557.1064 indexed citations breakdown →
6.
Esser, Steve K., Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, & Dharmendra S. Modha. (2015). Backpropagation for energy-efficient neuromorphic computing. Neural Information Processing Systems. 28. 1117–1125.170 indexed citations
Sherbondy, Anthony J., Robert F. Dougherty, R. Ananthanarayanan, Dharmendra S. Modha, & Brian A. Wandell. (2009). Think Global, Act Local; Projectome Estimation with BlueMatter. Lecture notes in computer science. 12(Pt 1). 861–868.37 indexed citations
12.
Gill, Binny S. & Dharmendra S. Modha. (2005). SARC: sequential prefetching in adaptive replacement cache. USENIX Annual Technical Conference. 33–33.83 indexed citations
Modha, Dharmendra S. & Yeshaiahu Fainman. (1994). A learning law for density estimation. IEEE Transactions on Neural Networks. 5(3). 519–523.24 indexed citations
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.