Luis R. Peraza
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies 23
- EEG and Brain-Computer Interfaces 10
- Neural dynamics and brain function 9
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 5
- Neurology top 5%
- Neurology top 10%
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- Advanced Neuroimaging Techniques and Applications 7
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- Balance, Gait, and Falls Prevention 3
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- Mental Health Research Topics 3
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- Bayesian Modeling and Causal Inference 2
- Co-authors
- John‐Paul TaylorJohn T. O’BrienMarcus KaiserMichael FirbankAlan ThomasAndrew M. BlamireJulia SchumacherPeter Gallagher
- Partner nations
- United KingdomAustraliaItaly
In The Last Decade
Luis R. Peraza
31 papers receiving 918 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 697
- Psychiatry and Mental health 259
- Neurology 218
- Neurology 77
- Radiology, Nuclear Medicine and Imaging 156
Countries citing papers authored by Luis R. Peraza
This map shows the geographic impact of Luis R. Peraza'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 Luis R. Peraza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis R. Peraza more than expected).
Fields of papers citing papers by Luis R. Peraza
This network shows the impact of papers produced by Luis R. Peraza. 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 Luis R. Peraza. The network helps show where Luis R. Peraza may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luis R. Peraza, 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 | 2024 | 0 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 13 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 12 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 78 | |
| 8 | 2019 | 19 | |
| 9 | 2018 | 49 | |
| 10 | 2018 | 13 | |
| 11 | 2018 | 46 | |
| 12 | 2017 | 25 | |
| 13 | 2016 | 25 | |
| 14 | 2016 | 38 | |
| 15 | Informational Changes in Biomolecules Caused by Ionizing Radiations: What Tsallis Entropy Can Say | 2016 | 1 |
| 16 | 2015 | 59 | |
| 17 | 2014 | 76 | |
| 18 | 2012 | 65 | |
| 19 | Fourier Bayesian Information Criterion for network structure and causality estimation | 2010 | 1 |
| 20 | A fast dynamic Bayesian network algorithm for structure learning using a time-lagged partial correlation matrix | 2010 | 2 |
About Luis R. Peraza
Luis R. Peraza is a scholar working on Cognitive Neuroscience, Physical Therapy, Sports Therapy and Rehabilitation and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 928 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (23 papers), EEG and Brain-Computer Interfaces (10 papers), Neural dynamics and brain function (9 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Dementia and Cognitive Impairment Research (5 papers), Balance, Gait, and Falls Prevention (3 papers), Mental Health Research Topics (3 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Cognitive Neuroscience (697 citations), Psychiatry and Mental health (259 citations) and Neurology (218 citations). Luis R. Peraza has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include John‐Paul Taylor, John T. O’Brien, Marcus Kaiser, Michael Firbank, Alan Thomas, Andrew M. Blamire, Julia Schumacher, Peter Gallagher, Ruth Cromarty and Sara Graziadio. Their work appears in journals such as Brain, Scientific Reports and Sensors.
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.