M. Carmen Romano
- Statistical and Nonlinear Physics top 0.5%
- Cognitive Neuroscience top 2%
- Economics and Econometrics top 1%
- Computer Networks and Communications top 1%
- Molecular Biology top 10%
- Co-authors
- Jürgen KurthsMarko ThielNorbert MarwanMarco ThielLuca CiandriniIan StansfieldCelso GrebogiIstván Z. Kiss
- Topics
- Chaos control and synchronization (22 papers)Nonlinear Dynamics and Pattern Formation (18 papers)RNA and protein synthesis mechanisms (14 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
M. Carmen Romano
66 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Statistical and Nonlinear Physics 1.4k
- Cognitive Neuroscience 1.0k
- Economics and Econometrics 1.0k
- Computer Networks and Communications 934
- Molecular Biology 789
Countries citing papers authored by M. Carmen Romano
This map shows the geographic impact of M. Carmen Romano'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. Carmen Romano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Carmen Romano more than expected).
Fields of papers citing papers by M. Carmen Romano
This network shows the impact of papers produced by M. Carmen Romano. 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. Carmen Romano. The network helps show where M. Carmen Romano may publish in the future.
Co-authorship network of co-authors of M. Carmen Romano
This figure shows the co-authorship network connecting the top 25 collaborators of M. Carmen Romano. A scholar is included among the top collaborators of M. Carmen Romano 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 M. Carmen Romano. M. Carmen Romano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 54 | |
| 9 | 10 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | 19 | |
| 13 | 32 | |
| 14 | 39 | |
| 15 | 14 | |
| 16 | 56 | |
| 17 | 10 | |
| 18 | 56 | |
| 19 | 12 | |
| 20 | 27 |
About M. Carmen Romano
M. Carmen Romano is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Computer Networks and Communications, having authored 67 papers that have together received 4.8k indexed citations. Recurring topics across this work include Chaos control and synchronization (22 papers), Nonlinear Dynamics and Pattern Formation (18 papers) and RNA and protein synthesis mechanisms (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Cognitive Neuroscience (1.0k citations) and Signal Processing (444 citations). M. Carmen Romano has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Jürgen Kurths, Marko Thiel, Norbert Marwan, Marco Thiel, Luca Ciandrini, Ian Stansfield, Celso Grebogi, István Z. Kiss, Chris A. Brackley and John L. Hudson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.