Robert Rosenbaum
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 29
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- Neuroscience and Neuropharmacology Research 12
- Neuroscience and Neural Engineering 10
- Photoreceptor and optogenetics research 8
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- stochastic dynamics and bifurcation 11
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- Advanced Memory and Neural Computing 6
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- Neural Networks and Applications 4
- Neural Networks and Reservoir Computing 2
- Co-authors
- Brent DoironJonathan E. RubinKrešimir Josić́Ashok Litwin-KumarAdam KohnMatthew A. SmithGabriel Koch OckerDouglas A. Ruff
- Journals
- PLoS Computational Biology (4 papers)Journal of Neurophysiology (3 papers)Nature Neuroscience (3 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Robert Rosenbaum
34 papers receiving 968 citations
Peers
Comparison fields: 5 of 70
- Cognitive Neuroscience 827
- Cellular and Molecular Neuroscience 581
- Statistical and Nonlinear Physics 179
- Neurology 84
- Electrical and Electronic Engineering 208
Countries citing papers authored by Robert Rosenbaum
This map shows the geographic impact of Robert Rosenbaum'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 Robert Rosenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Rosenbaum more than expected).
Fields of papers citing papers by Robert Rosenbaum
This network shows the impact of papers produced by Robert Rosenbaum. 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 Robert Rosenbaum. The network helps show where Robert Rosenbaum may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Rosenbaum, 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 | 1 | |
| 3 | 2022 | 12 | |
| 4 | 2021 | 8 | |
| 5 | 2020 | 16 | |
| 6 | 2020 | 1 | |
| 7 | 2020 | 17 | |
| 8 | 2018 | 13 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 17 | |
| 12 | 2016 | 146 | |
| 13 | 2014 | 6 | |
| 14 | 2013 | 81 | |
| 15 | 2013 | 9 | |
| 16 | 2012 | 72 | |
| 17 | THE TRANSFER AND PROPAGATION OF CORRELATED NEURONAL ACTIVITY | 2011 | 1 |
| 18 | 2011 | 16 | |
| 19 | 2011 | 25 | |
| 20 | 2011 | 4 |
About Robert Rosenbaum
Robert Rosenbaum is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 34 papers that have together received 974 indexed citations. Recurring topics across this work include Neural dynamics and brain function (29 papers), Neuroscience and Neuropharmacology Research (12 papers), stochastic dynamics and bifurcation (11 papers), Neuroscience and Neural Engineering (10 papers), Photoreceptor and optogenetics research (8 papers), Advanced Memory and Neural Computing (6 papers), Neural Networks and Applications (4 papers) and Neural Networks and Reservoir Computing (2 papers). The work is most often cited by research in Cognitive Neuroscience (827 citations), Cellular and Molecular Neuroscience (581 citations) and Statistical and Nonlinear Physics (179 citations). Robert Rosenbaum has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Brent Doiron, Jonathan E. Rubin, Krešimir Josić́, Ashok Litwin-Kumar, Adam Kohn, Matthew A. Smith, Gabriel Koch Ocker, Douglas A. Ruff, Chengcheng Huang and Marlene R. Cohen. Their work appears in journals such as PLoS Computational Biology, Journal of Neurophysiology, Nature Neuroscience, Journal of Computational Neuroscience and Physical review. E.
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.