Nabil Imam

19 papers receiving 7.7k citations

Nabil Imam's Hit Papers

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning 2018 · 2.8k citations
2.8k0+4+8Years since publication10002.0k3.0k

Peers

Nabil Imam
Comparison fields: 5 of 116
  • Cognitive Neuroscience 2.8k
  • Cellular and Molecular Neuroscience 2.5k
  • Electrical and Electronic Engineering 7.1k
  • Artificial Intelligence 2.5k
  • Hardware and Architecture 176
Replace Paul A. Merolla with:
Paul A. Merolla United States
Andrew S. Cassidy United States
Rodrigo Alvarez-Icaza United States
John V. Arthur United States
Brian Taba United States
Filipp Akopyan United States
Steven K. Esser United States
Jun Sawada United States
Bryan L. Jackson United States
Bernabe Linares-Barranco Spain
Nabil Imam relative to Paul A. Merolla United States Paul A. Merolla's profile →
Citations per field
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Paul A. Merolla · 1×
Citations per year

Countries citing papers authored by Nabil Imam

Since Specialization
Citations

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

Fields of papers citing papers by Nabil Imam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nabil Imam, 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 Nabil Imam Line = papers co-authored together Nabil Imam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 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 →
20143238
2
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning
Hit paper breakdown →
20182774
3
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
Hit paper breakdown →
20151259
4 2011346
5 2012108
6 201458
7 201228
8 201226
9 201115
10 202012
11 201312
12 201311
13 20167
14 20216
15 20085
16
Novel Methods of Evaluating the Growth Response Patterns of Treated Brain Tumors.
19952
17 20052
18 20151
19 20201
20 20240

About Nabil Imam

Nabil Imam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence and Sensory Systems, having authored 22 papers that have together received 7.9k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (13 papers), Neural dynamics and brain function (11 papers), Neuroscience and Neural Engineering (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers), Neural Networks and Reservoir Computing (4 papers), CCD and CMOS Imaging Sensors (3 papers), Neural Networks and Applications (3 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Cellular and Molecular Neuroscience (2.5k citations), Electrical and Electronic Engineering (7.1k citations), Artificial Intelligence (2.5k citations) and Hardware and Architecture (176 citations). Nabil Imam has collaborated with scholars based in United States, Japan and Ireland. Frequent co-authors include Rajit Manohar, Filipp Akopyan, John V. Arthur, Paul A. Merolla, Dharmendra S. Modha, Andrew S. Cassidy, W. P. Risk, Jun Sawada, Rodrigo Alvarez-Icaza and Yutaka Nakamura. Their work appears in journals such as Nature Machine Intelligence, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Proceedings of the National Academy of Sciences, Frontiers in Neuroscience and Science.

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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