Rubén D. Spies
- Cognitive Neuroscience top 10%
- Control and Systems Engineering top 5%
- Computational Theory and Mathematics top 5%
- Biomedical Engineering
- Mathematical Physics top 10%
- Co-authors
- Scott W. HansenVictoria PetersonHugo Leonardo RufinerNicolás NietoOlivier LambercyRoger GassertJuan E. KamienkowskiLeandro E. Di Persia
- Topics
- Numerical methods in inverse problems (15 papers)Stability and Controllability of Differential Equations (11 papers)EEG and Brain-Computer Interfaces (10 papers)
- Journals
- Journal of Materials ScienceMathematics of ComputationIEEE Transactions on Biomedical Engineering
- Partner nations
- ArgentinaUnited StatesSwitzerland
In The Last Decade
Rubén D. Spies
43 papers receiving 459 citations
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 187
- Control and Systems Engineering 158
- Computational Theory and Mathematics 131
- Biomedical Engineering 82
- Mathematical Physics 69
Countries citing papers authored by Rubén D. Spies
This map shows the geographic impact of Rubén D. Spies'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 Rubén D. Spies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rubén D. Spies more than expected).
Fields of papers citing papers by Rubén D. Spies
This network shows the impact of papers produced by Rubén D. Spies. 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 Rubén D. Spies. The network helps show where Rubén D. Spies may publish in the future.
Co-authorship network of co-authors of Rubén D. Spies
This figure shows the co-authorship network connecting the top 25 collaborators of Rubén D. Spies. A scholar is included among the top collaborators of Rubén D. Spies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rubén D. Spies. Rubén D. Spies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 3 | |
| 3 | 53 | |
| 4 | 46 | |
| 5 | 21 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | Global Saturation of Regularization Methods for Inverse Ill-Posed Problems | 1 |
| 13 | 3 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Results On Transversal And Axial Motions Of A System Of Two Beams Coupled To A Joint Through Two Legs | 2 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 9 |
About Rubén D. Spies
Rubén D. Spies is a scholar working on Mathematical Physics, Applied Mathematics and Cognitive Neuroscience, having authored 48 papers that have together received 480 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (15 papers), Stability and Controllability of Differential Equations (11 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cognitive Neuroscience (187 citations), Computational Theory and Mathematics (131 citations) and Mathematical Physics (69 citations). Rubén D. Spies has collaborated with scholars based in Argentina, United States and Switzerland. Frequent co-authors include Scott W. Hansen, Victoria Peterson, Hugo Leonardo Rufiner, Nicolás Nieto, Olivier Lambercy, Roger Gassert, Juan E. Kamienkowski, Leandro E. Di Persia, John A. Burns and Pedro Morín. Their work appears in journals such as Journal of Materials Science, Mathematics of Computation and IEEE Transactions on Biomedical Engineering.
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.