M. Rivera
Impact in
-
- stochastic dynamics and bifurcation
- Chaos control and synchronization
- Quantum chaos and dynamical systems
-
- Nonlinear Dynamics and Pattern Formation
Papers in ⓘ
-
- stochastic dynamics and bifurcation 25
- Chaos control and synchronization 13
-
- Nonlinear Dynamics and Pattern Formation 31
- Co-authors
- P. Parmananda (32 shared papers)Gerardo J. Escalera Santos (6 shared papers)Róger Madrigal (3 shared papers)José‐Manuel Cruz (5 shared papers)Vilmos Gáspár (2 shared papers)István Z. Kiss (2 shared papers)Lajos Nyikos (1 shared paper)Moumita Dasgupta (1 shared paper)
- Journals
- Chaos An Interdisciplinary Journal of Nonlinear Science (7 papers)Physical review. E (3 papers)IEEE Transactions on Plasma Science (2 papers)Physical Review Letters (2 papers)Chaos Solitons & Fractals (2 papers)
- Partner nations
- MexicoIndiaUnited Kingdom
In The Last Decade
M. Rivera
41 papers receiving 524 citations
Peers
Comparison fields: 5 of 81
- Statistical and Nonlinear Physics 316
- Computer Networks and Communications 373
- Electrochemistry 33
- Cognitive Neuroscience 97
- Molecular Medicine 22
Countries citing papers authored by M. Rivera
This map shows the geographic impact of M. Rivera'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 M. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Rivera more than expected).
Fields of papers citing papers by M. Rivera
This network shows the impact of papers produced by M. Rivera. 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 M. Rivera. The network helps show where M. Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Rivera, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 85 | |
| 2 | 2007 | 37 | |
| 3 | 2004 | 35 | |
| 4 | 2010 | 33 | |
| 5 | 2004 | 29 | |
| 6 | 2005 | 28 | |
| 7 | 2015 | 27 | |
| 8 | 2014 | 22 | |
| 9 | 2011 | 21 | |
| 10 | 2005 | 20 | |
| 11 | 2016 | 15 | |
| 12 | 2006 | 15 | |
| 13 | 2000 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 1999 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2007 | 9 | |
| 20 | 2015 | 9 |
About M. Rivera
M. Rivera is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Endocrinology and Statistics, Probability and Uncertainty, having authored 46 papers that have together received 544 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (31 papers), stochastic dynamics and bifurcation (25 papers), Chaos control and synchronization (13 papers), Neural dynamics and brain function (8 papers), Multilevel Inverters and Converters (3 papers), Diffusion and Search Dynamics (3 papers), Plasma Applications and Diagnostics (3 papers) and Gas Sensing Nanomaterials and Sensors (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (316 citations), Computer Networks and Communications (373 citations), Electrochemistry (33 citations), Cognitive Neuroscience (97 citations) and Molecular Medicine (22 citations). M. Rivera has collaborated with scholars based in Mexico, India and United Kingdom. Frequent co-authors include P. Parmananda, Gerardo J. Escalera Santos, Róger Madrigal, José‐Manuel Cruz, Vilmos Gáspár, István Z. Kiss, Lajos Nyikos, Moumita Dasgupta, Fernando Montoya and M. Eiswirth. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical review. E, IEEE Transactions on Plasma Science, Physical Review Letters and Chaos Solitons & Fractals.
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.