Rachel M. Brouwer
- Cognitive Neuroscience top 1%
- Functional Brain Connectivity Studies 36
- Behavioral Neuroscience top 2%
- Psychiatry and Mental health top 1%
- Schizophrenia research and treatment 15
- Bipolar Disorder and Treatment 8
- Biological Psychiatry top 5%
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- Cognitive Abilities and Testing 11
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- Advanced Neuroimaging Techniques and Applications 26
- Advanced MRI Techniques and Applications 17
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- Genetic Associations and Epidemiology 10
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- Hypothalamic control of reproductive hormones 7
- Co-authors
- Hilleke E. Hulshoff PolRené S. KahnDorret I. BoomsmaHugo G. SchnackJiska S. PeperNeeltje E.M. van HarenMarieke van LeeuwenAlan C. Evans
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Rachel M. Brouwer
83 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 133
- Cognitive Neuroscience 1.7k
- Behavioral Neuroscience 238
- Psychiatry and Mental health 808
- Biological Psychiatry 115
- Experimental and Cognitive Psychology 551
Countries citing papers authored by Rachel M. Brouwer
This map shows the geographic impact of Rachel M. Brouwer'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 Rachel M. Brouwer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel M. Brouwer more than expected).
Fields of papers citing papers by Rachel M. Brouwer
This network shows the impact of papers produced by Rachel M. Brouwer. 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 Rachel M. Brouwer. The network helps show where Rachel M. Brouwer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rachel M. Brouwer, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 18 | |
| 6 | 2021 | 11 | |
| 7 | 2020 | 40 | |
| 8 | 2020 | 3 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 28 | |
| 11 | 2018 | 38 | |
| 12 | 2015 | 31 | |
| 13 | 2015 | 22 | |
| 14 | 2014 | 11 | |
| 15 | 2014 | 271 | |
| 16 | 2011 | 48 | |
| 17 | 2009 | 64 | |
| 18 | 2009 | 123 | |
| 19 | Self-destructive percolation | 2003 | 12 |
| 20 | Random sampling for the monomer-dimer model on a lattice | 1999 | 2 |
About Rachel M. Brouwer
Rachel M. Brouwer is a scholar working on Cognitive Neuroscience, Computational Mathematics and Psychiatry and Mental health, having authored 87 papers that have together received 3.3k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (36 papers), Advanced Neuroimaging Techniques and Applications (26 papers), Advanced MRI Techniques and Applications (17 papers), Schizophrenia research and treatment (15 papers), Cognitive Abilities and Testing (11 papers), Genetic Associations and Epidemiology (10 papers), Bipolar Disorder and Treatment (8 papers) and Hypothalamic control of reproductive hormones (7 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Behavioral Neuroscience (238 citations) and Psychiatry and Mental health (808 citations). Rachel M. Brouwer has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Hilleke E. Hulshoff Pol, René S. Kahn, Dorret I. Boomsma, Hugo G. Schnack, Jiska S. Peper, Neeltje E.M. van Haren, Marieke van Leeuwen, Alan C. Evans, I.L.C. van Soelen and G. Caroline M. van Baal. Their work appears in journals such as Neuron, PLoS ONE and NeuroImage.
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.