Nicholas Tufillaro
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 2%
- Computational Mechanics top 5%
- Mathematical Physics top 5%
- Economics and Econometrics top 5%
- Co-authors
- Robert GilmoreA. M. AlbanoJ. P. GollubR. RamshankarT. C. A. MoltenoHernán G. SolariReggie BrownMarc Lefranc
- Topics
- Chaos control and synchronization (16 papers)Quantum chaos and dynamical systems (13 papers)Marine and coastal ecosystems (11 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- United StatesAustraliaNew Zealand
In The Last Decade
Nicholas Tufillaro
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 105
- Statistical and Nonlinear Physics 794
- Computer Networks and Communications 476
- Computational Mechanics 174
- Mathematical Physics 173
- Economics and Econometrics 167
Countries citing papers authored by Nicholas Tufillaro
This map shows the geographic impact of Nicholas Tufillaro'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 Nicholas Tufillaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Tufillaro more than expected).
Fields of papers citing papers by Nicholas Tufillaro
This network shows the impact of papers produced by Nicholas Tufillaro. 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 Nicholas Tufillaro. The network helps show where Nicholas Tufillaro may publish in the future.
Co-authorship network of co-authors of Nicholas Tufillaro
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Tufillaro. A scholar is included among the top collaborators of Nicholas Tufillaro 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 Nicholas Tufillaro. Nicholas Tufillaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 80 | |
| 7 | 2 | |
| 8 | 79 | |
| 9 | 29 | |
| 10 | 30 | |
| 11 | Radial-Basis Models for Feedback Systems With Fading Memory | 1 |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 11 | |
| 17 | 51 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | 7 |
About Nicholas Tufillaro
Nicholas Tufillaro is a scholar working on Statistical and Nonlinear Physics, Oceanography and Mathematical Physics, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chaos control and synchronization (16 papers), Quantum chaos and dynamical systems (13 papers) and Marine and coastal ecosystems (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (794 citations), Computer Networks and Communications (476 citations) and Mathematical Physics (173 citations). Nicholas Tufillaro has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Robert Gilmore, A. M. Albano, J. P. Gollub, R. Ramshankar, T. C. A. Molteno, Hernán G. Solari, Reggie Brown, Marc Lefranc, Xinjun Hou and Gabriel B. Mindlin. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.