Pallab Datta

3.5k total citations · 2 hit papers
6 papers, 1.9k citations indexed

About

Pallab Datta is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pallab Datta has authored 6 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 3 papers in Cognitive Neuroscience and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pallab Datta's work include Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Pallab Datta is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Neural dynamics and brain function (3 papers) and CCD and CMOS Imaging Sensors (2 papers). Pallab Datta collaborates with scholars based in United States and Japan. Pallab Datta's co-authors include Dharmendra S. Modha, Andrew S. Cassidy, John V. Arthur, Paul Merolla, Brian Taba, W. P. Risk, Rodrigo Alvarez-Icaza, Jun Sawada, Filipp Akopyan and Bryan L. Jackson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IBM Journal of Research and Development and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Pallab Datta

6 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

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.

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

2015 1.1k citations Filipp Akopyan, Jun Sawada et al. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems profile →
Convolutional networks for fast, energy-efficient neuromorphic computing

2016 482 citations Steven K. Esser, Paul Merolla et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Pallab Datta

Since Specialization

Citations

This map shows the geographic impact of Pallab Datta'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 Pallab Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pallab Datta more than expected).

Fields of papers citing papers by Pallab Datta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pallab Datta. 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 Pallab Datta. The network helps show where Pallab Datta may publish in the future.

Co-authorship network of co-authors of Pallab Datta

This figure shows the co-authorship network connecting the top 25 collaborators of Pallab Datta. A scholar is included among the top collaborators of Pallab Datta 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 Pallab Datta. Pallab Datta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Convolutional networks for fast, energy-efficient neuromorphic computing breakdown → 2016 ·Proceedings of the National Academy of Sciences ·Steven K. Esser, Paul Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David Van Den Berg, Jeffrey L. McKinstry, (unknown), Davis Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron Flickner, Dharmendra S. Modha	482
2	TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip breakdown → 2015 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·Filipp Akopyan, Jun Sawada, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Nabil Imam, Yutaka Nakamura, Pallab Datta, Gi-Joon Nam, Brian Taba, Michael P. Beakes, Bernard Brezzo, Jente B. Kuang, Rajit Manohar, W. P. Risk, Bryan L. Jackson, Dharmendra S. Modha	1064
3	Visual saliency on networks of neurosynaptic cores 2015 ·IBM Journal of Research and Development ·Alexander Andreopoulos, Brian Taba, Andrew S. Cassidy, Rodrigo Alvarez-Icaza, Myron Flickner, W. P. Risk, Arnon Amir, Paul Merolla, John V. Arthur, David Van Den Berg, Jeff Kusnitz, Pallab Datta, Steven K. Esser, Raja Appuswamy, Davis Barch, Dharmendra S. Modha	12
4	Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores 2013 ·Andrew S. Cassidy, Paul Merolla, John V. Arthur, Steve K. Esser, Bryan L. Jackson, Rodrigo Alvarez-Icaza, Pallab Datta, Jun Sawada, Theodore M. Wong, Vitaly Feldman, Arnon Amir, Daniel Ben Dayan Rubin, Filipp Akopyan, Emmett McQuinn, W. P. Risk, Dharmendra S. Modha	171
5	Cognitive computing programming paradigm: A Corelet Language for composing networks of neurosynaptic cores 2013 ·Arnon Amir, Pallab Datta, W. P. Risk, Andrew S. Cassidy, Jeffrey A. Kusnitz, Steve K. Esser, Alexander Andreopoulos, Theodore M. Wong, Myron Flickner, Rodrigo Alvarez-Icaza, Emmett McQuinn, Ben Shaw, (unknown), Dharmendra S. Modha	110
6	Compass: A scalable simulator for an architecture for cognitive computing 2012 ·(unknown), Theodore M. Wong, Pallab Datta, Myron Flickner, Raghavendra Singh, Steven K. Esser, W. P. Risk, Horst D. Simon, Dharmendra S. Modha	65

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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