Andrew S. Cassidy
- Electrical and Electronic Engineering top 0.5%
- Cognitive Neuroscience top 1%
- Artificial Intelligence top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Dharmendra S. ModhaJohn V. ArthurPaul MerollaBrian TabaW. P. RiskRodrigo Alvarez-IcazaFilipp AkopyanBryan L. Jackson
- Topics
- Advanced Memory and Neural Computing (23 papers)Neural dynamics and brain function (11 papers)Neuroscience and Neural Engineering (10 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- United StatesCyprusCanada
In The Last Decade
Andrew S. Cassidy
38 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Electrical and Electronic Engineering 4.8k
- Cognitive Neuroscience 1.8k
- Artificial Intelligence 1.7k
- Cellular and Molecular Neuroscience 1.7k
- Computer Vision and Pattern Recognition 287
Countries citing papers authored by Andrew S. Cassidy
This map shows the geographic impact of Andrew S. Cassidy'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 Andrew S. Cassidy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew S. Cassidy more than expected).
Fields of papers citing papers by Andrew S. Cassidy
This network shows the impact of papers produced by Andrew S. Cassidy. 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 Andrew S. Cassidy. The network helps show where Andrew S. Cassidy may publish in the future.
Co-authorship network of co-authors of Andrew S. Cassidy
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew S. Cassidy. A scholar is included among the top collaborators of Andrew S. Cassidy 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 Andrew S. Cassidy. Andrew S. Cassidy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 10 | |
| 4 | TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition | 12 |
| 5 | 24 | |
| 6 | TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chipbreakdown → | 1064 |
| 7 | 9 | |
| 8 | 88 | |
| 9 | 25 | |
| 10 | Semi-filterless optical network: a cost-efficient passive wide area network solution with effective resource utilization | 5 |
| 11 | 52 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 28 | |
| 15 | 46 | |
| 16 | 8 | |
| 17 | 38 | |
| 18 | Impulse Radio Address Event Interconnects for body area networks and neural prostheses | 2 |
| 19 | 5 | |
| 20 | 21 |
About Andrew S. Cassidy
Andrew S. Cassidy is a scholar working on Hardware and Architecture, Cognitive Neuroscience and Cellular and Molecular Neuroscience, having authored 40 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (23 papers), Neural dynamics and brain function (11 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), Cellular and Molecular Neuroscience (1.7k citations) and Electrical and Electronic Engineering (4.8k citations). Andrew S. Cassidy has collaborated with scholars based in United States, Cyprus and Canada. Frequent co-authors include Dharmendra S. Modha, John V. Arthur, Paul Merolla, Brian Taba, W. P. Risk, Rodrigo Alvarez-Icaza, Filipp Akopyan, Bryan L. Jackson, Jun Sawada and Rajit Manohar. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neural Networks.
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.