Stephen Carcieri
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in ⓘ
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- Neuroscience and Neural Engineering 3
- Photoreceptor and optogenetics research 2
- Neuroscience and Neuropharmacology Research 1
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- Neurological disorders and treatments 5
- Parkinson's Disease Mechanisms and Treatments 4
- Co-authors
- Sheila Nirenberg (2 shared papers)Peter E. Latham (1 shared paper)Adam Jacobs (1 shared paper)Jens Volkmann (2 shared papers)Brian Dalm (2 shared papers)Srivatsan Pallavaram (2 shared papers)Vibhor Krishna (2 shared papers)Aristide Merola (2 shared papers)
- Journals
- Journal of Neurophysiology (1 paper)Neurosurgery (1 paper)Movement Disorders (1 paper)Journal of Neural Engineering (1 paper)Nature (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Stephen Carcieri
8 papers receiving 420 citations
Peers
Comparison fields: 5 of 61
- Cellular and Molecular Neuroscience 251
- Cognitive Neuroscience 253
- Neurology 113
- Neurology 30
- Statistical and Nonlinear Physics 32
Countries citing papers authored by Stephen Carcieri
This map shows the geographic impact of Stephen Carcieri'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 Stephen Carcieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Carcieri more than expected).
Fields of papers citing papers by Stephen Carcieri
This network shows the impact of papers produced by Stephen Carcieri. 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 Stephen Carcieri. The network helps show where Stephen Carcieri may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Carcieri, 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 | 2001 | 223 | |
| 2 | 2003 | 70 | |
| 3 | 2017 | 40 | |
| 4 | 2020 | 35 | |
| 5 | 2021 | 22 | |
| 6 | 2005 | 17 | |
| 7 | 2022 | 13 | |
| 8 | 2016 | 11 |
About Stephen Carcieri
Stephen Carcieri is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 431 indexed citations. Recurring topics across this work include Neurological disorders and treatments (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuroscience and Neural Engineering (3 papers), Retinal Development and Disorders (3 papers), Photoreceptor and optogenetics research (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (251 citations), Cognitive Neuroscience (253 citations), Neurology (113 citations), Neurology (30 citations) and Statistical and Nonlinear Physics (32 citations). Stephen Carcieri has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Sheila Nirenberg, Peter E. Latham, Adam Jacobs, Jens Volkmann, Brian Dalm, Srivatsan Pallavaram, Vibhor Krishna, Aristide Merola, Leo Verhagen and George Mandybur. Their work appears in journals such as Journal of Neurophysiology, Neurosurgery, Movement Disorders, Journal of Neural Engineering and Nature.
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.