Corey D. Acker
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- Neuroscience and Neuropharmacology Research 9
- Neuroscience and Neural Engineering 8
- Photoreceptor and optogenetics research 7
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 8
- Memory and Neural Mechanisms 3
- Biophysics top 10%
- Advanced Fluorescence Microscopy Techniques 3
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- Advanced Memory and Neural Computing 3
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- Molecular Sensors and Ion Detection 1
- Co-authors
- John A. WhiteNancy KopellThéoden I. NetoffLeslie M. LoewSrdjan D. AnticPing YanAlan D. DorvalJennifer S. Haas
- Journals
- Journal of Neurophysiology (4 papers)Journal of Computational Neuroscience (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Corey D. Acker
17 papers receiving 771 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 518
- Cognitive Neuroscience 526
- Statistical and Nonlinear Physics 154
- Biophysics 44
- Computer Networks and Communications 134
Countries citing papers authored by Corey D. Acker
This map shows the geographic impact of Corey D. Acker'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 Corey D. Acker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey D. Acker more than expected).
Fields of papers citing papers by Corey D. Acker
This network shows the impact of papers produced by Corey D. Acker. 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 Corey D. Acker. The network helps show where Corey D. Acker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Corey D. Acker, 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 | 2023 | 6 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 29 | |
| 4 | 2021 | 11 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 26 | |
| 9 | 2013 | 7 | |
| 10 | 2012 | 136 | |
| 11 | 2009 | 36 | |
| 12 | 2007 | 10 | |
| 13 | 2005 | 51 | |
| 14 | 2005 | 57 | |
| 15 | 2005 | 118 | |
| 16 | 2004 | 138 | |
| 17 | 2003 | 117 |
About Corey D. Acker
Corey D. Acker is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Cognitive Neuroscience, Bioengineering and Spectroscopy, having authored 17 papers that have together received 791 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (8 papers), Neuroscience and Neural Engineering (8 papers), Photoreceptor and optogenetics research (7 papers), Advanced Memory and Neural Computing (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Memory and Neural Mechanisms (3 papers) and Molecular Sensors and Ion Detection (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Cognitive Neuroscience (526 citations), Statistical and Nonlinear Physics (154 citations), Biophysics (44 citations) and Computer Networks and Communications (134 citations). Corey D. Acker has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include John A. White, Nancy Kopell, Théoden I. Netoff, Leslie M. Loew, Srdjan D. Antic, Ping Yan, Alan D. Dorval, Jennifer S. Haas, Matthew I. Banks and Martin J. Gillies. Their work appears in journals such as Journal of Neurophysiology, Journal of Computational Neuroscience, Proceedings of the National Academy of Sciences, Progress in Biophysics and Molecular Biology and Communications Biology.
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.