Marius‐F. Danca
- Statistical and Nonlinear Physics top 0.5%
- Chaos control and synchronization 57
- Quantum chaos and dynamical systems 31
- stochastic dynamics and bifurcation 9
- Modeling and Simulation top 1%
- Fractional Differential Equations Solutions 36
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- Nonlinear Dynamics and Pattern Formation 31
- Geometry and Topology top 5%
- Advanced Differential Equations and Dynamical Systems 29
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals 15
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- Mathematical and Theoretical Epidemiology and Ecology Models 8
- Co-authors
- Н. В. КузнецовGuanrong ChenMičhal FĕckanK.S. TangM. RomeraB. BakóMichael SmallRoberto Garrappa
- Cited by
- Statistical and Nonlinear PhysicsModeling and SimulationComputer Networks and Communications
In The Last Decade
Marius‐F. Danca
96 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 74
- Statistical and Nonlinear Physics 995
- Modeling and Simulation 301
- Computer Networks and Communications 554
- Geometry and Topology 146
- Mathematical Physics 119
Countries citing papers authored by Marius‐F. Danca
This map shows the geographic impact of Marius‐F. Danca'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 Marius‐F. Danca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius‐F. Danca more than expected).
Fields of papers citing papers by Marius‐F. Danca
This network shows the impact of papers produced by Marius‐F. Danca. 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 Marius‐F. Danca. The network helps show where Marius‐F. Danca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marius‐F. Danca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 20 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 13 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 5 | |
| 11 | 2021 | 14 | |
| 12 | 2017 | 4 | |
| 13 | 2013 | 25 | |
| 14 | 2013 | 18 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 1 | |
| 17 | 2012 | 3 | |
| 18 | 2009 | 21 | |
| 19 | 1997 | 7 | |
| 20 | 1997 | 82 |
About Marius‐F. Danca
Marius‐F. Danca is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Geometry and Topology, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chaos control and synchronization (57 papers), Fractional Differential Equations Solutions (36 papers), Quantum chaos and dynamical systems (31 papers), Nonlinear Dynamics and Pattern Formation (31 papers), Advanced Differential Equations and Dynamical Systems (29 papers), Mathematical Dynamics and Fractals (15 papers), stochastic dynamics and bifurcation (9 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (995 citations), Modeling and Simulation (301 citations) and Computer Networks and Communications (554 citations). Marius‐F. Danca has collaborated with scholars based in Romania, Hong Kong and Slovakia. Frequent co-authors include Н. В. Кузнецов, Guanrong Chen, Mičhal Fĕckan, K.S. Tang, M. Romera, B. Bakó, Michael Small, Roberto Garrappa, Marek Lampart and G. Pastor. Their work appears in journals such as Journal of the Franklin Institute, Chaos Solitons & Fractals and Applied Mathematics and Computation.
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.