Justin M. Correll
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- CCD and CMOS Imaging Sensors
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 4
- Ferroelectric and Negative Capacitance Devices 3
- CCD and CMOS Imaging Sensors 2
- Radio Frequency Integrated Circuit Design 1
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- Analog and Mixed-Signal Circuit Design 3
- Co-authors
- Michael P. Flynn (6 shared papers)Zhengya Zhang (5 shared papers)Wei Lü (4 shared papers)Seung Hwan Lee (2 shared papers)Yong Lim (3 shared papers)Fuxi Cai (2 shared papers)Wei Tang (1 shared paper)Siddarth Krishnan (2 shared papers)
- Journals
- IEEE Journal of Solid-State Circuits (2 papers)Nature Electronics (1 paper)IEEE Journal on Exploratory Solid-State Computational Devices and Circuits (1 paper)2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits) (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Justin M. Correll
6 papers receiving 658 citations
Justin M. Correll's Hit Papers
Peers
Comparison fields: 5 of 36
- Cellular and Molecular Neuroscience 239
- Electrical and Electronic Engineering 636
- Cognitive Neuroscience 107
- Polymers and Plastics 55
- Artificial Intelligence 124
Countries citing papers authored by Justin M. Correll
This map shows the geographic impact of Justin M. Correll'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 Justin M. Correll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin M. Correll more than expected).
Fields of papers citing papers by Justin M. Correll
This network shows the impact of papers produced by Justin M. Correll. 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 Justin M. Correll. The network helps show where Justin M. Correll may publish in the future.
Co-authors
The 19 scholars most cited alongside Justin M. Correll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A fully integrated reprogrammable memristor–CMOS system for efficient multiply–accumulate operations Hit paper breakdown → | 2019 | 581 |
| 2 | 2022 | 29 | |
| 3 | 2020 | 26 | |
| 4 | 2022 | 18 | |
| 5 | 2017 | 10 | |
| 6 | 2025 | 2 |
About Justin M. Correll
Justin M. Correll is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Cellular and Molecular Neuroscience and Radiation, having authored 6 papers that have together received 666 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (4 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Analog and Mixed-Signal Circuit Design (3 papers), CCD and CMOS Imaging Sensors (2 papers), Radio Frequency Integrated Circuit Design (1 paper), Neuroscience and Neural Engineering (1 paper), Advanced Data Storage Technologies (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Electrical and Electronic Engineering (636 citations), Cognitive Neuroscience (107 citations), Polymers and Plastics (55 citations) and Artificial Intelligence (124 citations). Justin M. Correll has collaborated with scholars based in United States and South Korea. Frequent co-authors include Michael P. Flynn, Zhengya Zhang, Wei Lü, Seung Hwan Lee, Yong Lim, Fuxi Cai, Wei Tang, Siddarth Krishnan, Jie Lu and N. Breil. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Nature Electronics, IEEE Journal on Exploratory Solid-State Computational Devices and Circuits and 2022 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits).
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.