Ted Carnevale
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Functional Brain Connectivity Studies 4
- Neural dynamics and brain function 2
- EEG and Brain-Computer Interfaces 1
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- Scientific Computing and Data Management 3
- Co-authors
- Luis Marenco (1 shared paper)Rixin Wang (1 shared paper)Gordon M. Shepherd (1 shared paper)Thomas M. Morse (1 shared paper)Michael L. Hines (1 shared paper)Perry L. Miller (1 shared paper)Michele Migliore (1 shared paper)Robert A. McDougal (1 shared paper)
- Journals
- Journal of Computational Neuroscience (1 paper)BMC Neuroscience (1 paper)Practice and Experience in Advanced Research Computing (2 papers)Scholarpedia (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Ted Carnevale
7 papers receiving 195 citations
Peers
Comparison fields: 5 of 57
- Cognitive Neuroscience 130
- Cellular and Molecular Neuroscience 80
- Biophysics 25
- Information Systems and Management 25
- Developmental Biology 3
Countries citing papers authored by Ted Carnevale
This map shows the geographic impact of Ted Carnevale'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 Ted Carnevale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Carnevale more than expected).
Fields of papers citing papers by Ted Carnevale
This network shows the impact of papers produced by Ted Carnevale. 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 Ted Carnevale. The network helps show where Ted Carnevale may publish in the future.
Co-authors
The 16 scholars most cited alongside Ted Carnevale, 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 | 2016 | 126 | |
| 2 | 2013 | 35 | |
| 3 | 2007 | 18 | |
| 4 | 2014 | 10 | |
| 5 | 2020 | 4 | |
| 6 | 2016 | 2 | |
| 7 | 2023 | 1 |
About Ted Carnevale
Ted Carnevale is a scholar working on Cognitive Neuroscience, Information Systems and Management, Biophysics, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 7 papers that have together received 196 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Cell Image Analysis Techniques (3 papers), Scientific Computing and Data Management (3 papers), Advanced Memory and Neural Computing (3 papers), Neural dynamics and brain function (2 papers), Neuroscience and Neural Engineering (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Distributed and Parallel Computing Systems (1 paper). The work is most often cited by research in Cognitive Neuroscience (130 citations), Cellular and Molecular Neuroscience (80 citations), Biophysics (25 citations), Information Systems and Management (25 citations) and Developmental Biology (3 citations). Ted Carnevale has collaborated with scholars based in United States and Italy. Frequent co-authors include Luis Marenco, Rixin Wang, Gordon M. Shepherd, Thomas M. Morse, Michael L. Hines, Perry L. Miller, Michele Migliore, Robert A. McDougal, A. Majumdar and Kenneth Yoshimoto. Their work appears in journals such as Journal of Computational Neuroscience, BMC Neuroscience, Practice and Experience in Advanced Research Computing and Scholarpedia.
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.