Sacha J. van Albada
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 38
- Functional Brain Connectivity Studies 20
- EEG and Brain-Computer Interfaces 7
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- Neuroscience and Neural Engineering 6
- Neuroscience and Neuropharmacology Research 3
- Neurology top 10%
- Neurological disorders and treatments 5
- Biophysics top 10%
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- stochastic dynamics and bifurcation 3
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- Advanced Memory and Neural Computing 17
- Co-authors
- P. A. RobinsonMarkus DiesmannChristopher RennieCliff C. KerrMaximilian SchmidtAlan ChiangRembrandt BakkerP. M. Drysdale
- Partner nations
- GermanyAustraliaNetherlands
In The Last Decade
Sacha J. van Albada
42 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 123
- Cognitive Neuroscience 871
- Cellular and Molecular Neuroscience 395
- Neurology 194
- Biophysics 36
- Statistical and Nonlinear Physics 58
Countries citing papers authored by Sacha J. van Albada
This map shows the geographic impact of Sacha J. van Albada'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 Sacha J. van Albada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sacha J. van Albada more than expected).
Fields of papers citing papers by Sacha J. van Albada
This network shows the impact of papers produced by Sacha J. van Albada. 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 Sacha J. van Albada. The network helps show where Sacha J. van Albada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sacha J. van Albada, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 20 | |
| 11 | 2022 | 10 | |
| 12 | Connectivity Concepts for Neuronal Networks | 2019 | 1 |
| 13 | Multi-area spiking network models of macaque and humancortices | 2019 | 0 |
| 14 | 2018 | 73 | |
| 15 | 2017 | 60 | |
| 16 | 2013 | 34 | |
| 17 | 2011 | 144 | |
| 18 | 2009 | 60 | |
| 19 | 2008 | 116 | |
| 20 | 2007 | 25 |
About Sacha J. van Albada
Sacha J. van Albada is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural dynamics and brain function (38 papers), Functional Brain Connectivity Studies (20 papers), Advanced Memory and Neural Computing (17 papers), EEG and Brain-Computer Interfaces (7 papers), Neuroscience and Neural Engineering (6 papers), Neurological disorders and treatments (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and stochastic dynamics and bifurcation (3 papers). The work is most often cited by research in Cognitive Neuroscience (871 citations), Cellular and Molecular Neuroscience (395 citations) and Neurology (194 citations). Sacha J. van Albada has collaborated with scholars based in Germany, Australia and Netherlands. Frequent co-authors include P. A. Robinson, Markus Diesmann, Christopher Rennie, Cliff C. Kerr, Maximilian Schmidt, Alan Chiang, Rembrandt Bakker, P. M. Drysdale, Richard T. Gray and Claus C. Hilgetag. Their work appears in journals such as Cerebral Cortex, PLoS Computational Biology, BMC Neuroscience, Clinical Neurophysiology and Journal of Theoretical 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.