Emmett McQuinn
- Electrical and Electronic Engineering top 5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Rodrigo Alvarez-IcazaJohn V. ArthurPaul MerollaPeiran GaoSwadesh ChoudharyJean-Marie BussatBen Varkey BenjaminAnand Chandrasekaran
- Topics
- Advanced Memory and Neural Computing (3 papers)CCD and CMOS Imaging Sensors (2 papers)Ferroelectric and Negative Capacitance Devices (1 paper)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Journals
- Proceedings of the IEEE
- Partner nations
- United States
In The Last Decade
Emmett McQuinn
3 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 1.0k
- Cognitive Neuroscience 505
- Artificial Intelligence 400
- Cellular and Molecular Neuroscience 380
- Computer Vision and Pattern Recognition 35
Countries citing papers authored by Emmett McQuinn
This map shows the geographic impact of Emmett McQuinn'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 Emmett McQuinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmett McQuinn more than expected).
Fields of papers citing papers by Emmett McQuinn
This network shows the impact of papers produced by Emmett McQuinn. 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 Emmett McQuinn. The network helps show where Emmett McQuinn may publish in the future.
Co-authorship network of co-authors of Emmett McQuinn
This figure shows the co-authorship network connecting the top 25 collaborators of Emmett McQuinn. A scholar is included among the top collaborators of Emmett McQuinn 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 Emmett McQuinn. Emmett McQuinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulationsbreakdown → | 847 |
| 2 | 171 | |
| 3 | 110 |
About Emmett McQuinn
Emmett McQuinn is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 3 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), CCD and CMOS Imaging Sensors (2 papers) and Ferroelectric and Negative Capacitance Devices (1 paper). The work is most often cited by research in Cognitive Neuroscience (505 citations), Cellular and Molecular Neuroscience (380 citations) and Electrical and Electronic Engineering (1.0k citations). Emmett McQuinn has collaborated with scholars based in United States. Frequent co-authors include Rodrigo Alvarez-Icaza, John V. Arthur, Paul Merolla, Peiran Gao, Swadesh Choudhary, Jean-Marie Bussat, Ben Varkey Benjamin, Anand Chandrasekaran, Kwabena Boahen and Andrew S. Cassidy. Their work appears in journals such as Proceedings of the IEEE.
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.