R. Biscay
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Numerical Analysis top 5%
- Numerical methods for differential equations
Papers in
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- Neural dynamics and brain function 13
- Functional Brain Connectivity Studies 10
- EEG and Brain-Computer Interfaces 9
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- Advanced Statistical Methods and Models 6
- Co-authors
- Juan Carlos Jiménez (24 shared papers)Pedro A. Valdés‐Sosa (20 shared papers)Tohru Ozaki (6 shared papers)Jorge Riera (5 shared papers)J. Bosch (6 shared papers)Félix Carbonell (11 shared papers)Andreas Galka (2 shared papers)Okito Yamashita (2 shared papers)
In The Last Decade
R. Biscay
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 114
- Cognitive Neuroscience 774
- Numerical Analysis 102
- Signal Processing 189
- Computational Mathematics 8
- Finance 96
Countries citing papers authored by R. Biscay
This map shows the geographic impact of R. Biscay'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 R. Biscay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Biscay more than expected).
Fields of papers citing papers by R. Biscay
This network shows the impact of papers produced by R. Biscay. 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 R. Biscay. The network helps show where R. Biscay may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Biscay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 112 | |
| 2 | 1999 | 104 | |
| 3 | 1999 | 92 | |
| 4 | 1997 | 89 | |
| 5 | 1992 | 83 | |
| 6 | 1994 | 77 | |
| 7 | 2014 | 72 | |
| 8 | 2004 | 57 | |
| 9 | 1994 | 55 | |
| 10 | 1996 | 55 | |
| 11 | 1995 | 43 | |
| 12 | 1992 | 41 | |
| 13 | 2002 | 32 | |
| 14 | 2005 | 31 | |
| 15 | 2008 | 28 | |
| 16 | 2004 | 28 | |
| 17 | 1998 | 28 | |
| 18 | 2006 | 27 | |
| 19 | 1991 | 26 | |
| 20 | 2008 | 23 |
About R. Biscay
R. Biscay is a scholar working on Cognitive Neuroscience, Statistics and Probability, Numerical Analysis, Finance and Computational Mechanics, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Functional Brain Connectivity Studies (10 papers), EEG and Brain-Computer Interfaces (9 papers), Stochastic processes and financial applications (7 papers), Numerical methods for differential equations (7 papers), Blind Source Separation Techniques (6 papers), Advanced Statistical Methods and Models (6 papers) and Spectroscopy and Chemometric Analyses (5 papers). The work is most often cited by research in Cognitive Neuroscience (774 citations), Numerical Analysis (102 citations), Signal Processing (189 citations), Computational Mathematics (8 citations) and Finance (96 citations). R. Biscay has collaborated with scholars based in Cuba, Mexico and Chile. Frequent co-authors include Juan Carlos Jiménez, Pedro A. Valdés‐Sosa, Tohru Ozaki, Jorge Riera, J. Bosch, Félix Carbonell, Andreas Galka, Okito Yamashita, Jorge Bosch‐Bayard and Luis M. Rodríguez. Their work appears in journals such as NeuroImage, Brain Topography, Journal of Computational Physics, Applied Mathematics and Computation and Journal of Statistical Computation and Simulation.
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.