Rodica Curtu
- Cognitive Neuroscience top 5%
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Cellular and Molecular Neuroscience
- Global and Planetary Change
- Co-authors
- John RinzelAsya ShpiroNava RubinBard ErmentroutJonathan E. RubinRicardo MantillaScott J. SmallL. Cunha
- Topics
- Neural dynamics and brain function (16 papers)stochastic dynamics and bifurcation (12 papers)Nonlinear Dynamics and Pattern Formation (7 papers)
- Cited by
- Cognitive NeuroscienceStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- United StatesRomaniaIsrael
In The Last Decade
Rodica Curtu
25 papers receiving 484 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 305
- Statistical and Nonlinear Physics 174
- Computer Networks and Communications 155
- Cellular and Molecular Neuroscience 100
- Global and Planetary Change 66
Countries citing papers authored by Rodica Curtu
This map shows the geographic impact of Rodica Curtu'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 Rodica Curtu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rodica Curtu more than expected).
Fields of papers citing papers by Rodica Curtu
This network shows the impact of papers produced by Rodica Curtu. 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 Rodica Curtu. The network helps show where Rodica Curtu may publish in the future.
Co-authorship network of co-authors of Rodica Curtu
This figure shows the co-authorship network connecting the top 25 collaborators of Rodica Curtu. A scholar is included among the top collaborators of Rodica Curtu 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 Rodica Curtu. Rodica Curtu 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 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 14 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 74 | |
| 13 | 46 | |
| 14 | 117 | |
| 15 | 38 | |
| 16 | 13 | |
| 17 | 36 | |
| 18 | Periodic Traveling Waves in a One-Dimensional Integrate-and-Fire Neural Network | 1 |
| 19 | 13 | |
| 20 | 0 |
About Rodica Curtu
Rodica Curtu is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Water Science and Technology, having authored 28 papers that have together received 504 indexed citations. Recurring topics across this work include Neural dynamics and brain function (16 papers), stochastic dynamics and bifurcation (12 papers) and Nonlinear Dynamics and Pattern Formation (7 papers). The work is most often cited by research in Cognitive Neuroscience (305 citations), Statistical and Nonlinear Physics (174 citations) and Computer Networks and Communications (155 citations). Rodica Curtu has collaborated with scholars based in United States, Romania and Israel. Frequent co-authors include John Rinzel, Asya Shpiro, Nava Rubin, Bard Ermentrout, Jonathan E. Rubin, Ricardo Mantilla, Scott J. Small, L. Cunha, Laurent O. Jay and Witold F. Krajewski. Their work appears in journals such as Journal of Neuroscience, Journal of Neurophysiology and Molecular Biology of the Cell.
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.