Matthew Ríos
Impact in
- Cognitive Neuroscience top 5%
- Pain Management and Placebo Effect
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
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- Pain Management and Placebo Effect 3
- Neural and Behavioral Psychology Studies 2
- EEG and Brain-Computer Interfaces 2
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- Pain Mechanisms and Treatments 2
- Co-authors
- Greg Krauss (4 shared papers)Ronald P. Lesser (2 shared papers)David T. Chau (2 shared papers)Ali Zırh (2 shared papers)Fred A. Lenz (2 shared papers)Frederick A. Lenz (2 shared papers)Rolf‐Detlef Treede (3 shared papers)Vladimir Miskovic (3 shared papers)
- Journals
- Journal of Neurophysiology (2 papers)Inorganica Chimica Acta (1 paper)Prenatal Diagnosis (1 paper)Consciousness and Cognition (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Matthew Ríos
10 papers receiving 404 citations
Peers
Comparison fields: 5 of 45
- Cognitive Neuroscience 251
- Physiology 215
- Neurology 60
- Sensory Systems 27
- Anesthesiology and Pain Medicine 20
Countries citing papers authored by Matthew Ríos
This map shows the geographic impact of Matthew Ríos'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 Matthew Ríos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Ríos more than expected).
Fields of papers citing papers by Matthew Ríos
This network shows the impact of papers produced by Matthew Ríos. 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 Matthew Ríos. The network helps show where Matthew Ríos may publish in the future.
Co-authors
The 23 scholars most cited alongside Matthew Ríos, 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 | 1998 | 196 | |
| 2 | 1998 | 110 | |
| 3 | 2000 | 32 | |
| 4 | 1999 | 22 | |
| 5 | 2017 | 13 | |
| 6 | Pain-related evoked potentials from parasylvian cortex in humans. | 1999 | 10 |
| 7 | 2019 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2022 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2020 | 0 |
About Matthew Ríos
Matthew Ríos is a scholar working on Cognitive Neuroscience, Physiology, Archeology, Psychiatry and Mental health and Inorganic Chemistry, having authored 11 papers that have together received 409 indexed citations. Recurring topics across this work include Pain Management and Placebo Effect (3 papers), Cultural Heritage Materials Analysis (2 papers), Neural and Behavioral Psychology Studies (2 papers), Pigment Synthesis and Properties (2 papers), Psychosomatic Disorders and Their Treatments (2 papers), EEG and Brain-Computer Interfaces (2 papers), Pain Mechanisms and Treatments (2 papers) and Dental Anxiety and Anesthesia Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (251 citations), Physiology (215 citations), Neurology (60 citations), Sensory Systems (27 citations) and Anesthesiology and Pain Medicine (20 citations). Matthew Ríos has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Greg Krauss, Ronald P. Lesser, David T. Chau, Ali Zırh, Fred A. Lenz, Frederick A. Lenz, Rolf‐Detlef Treede, Vladimir Miskovic, Jangwon Lee and Dana Boatman. Their work appears in journals such as Journal of Neurophysiology, Inorganica Chimica Acta, Prenatal Diagnosis, Consciousness and Cognition and PLoS ONE.
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.