Barnabás M. Garay
- Mathematical Physics top 10%
- Statistical and Nonlinear Physics top 5%
- Control and Systems Engineering top 10%
- Computer Networks and Communications top 10%
- Geometry and Topology top 5%
- Co-authors
- Josef HofbauerBalázs BánhelyiTibor CsendesBernd AulbachWolf‐Jürgen BeynStefan HilgerLuca PancioniKeonhee Lee
- Topics
- Mathematical Dynamics and Fractals (16 papers)Stability and Controllability of Differential Equations (11 papers)Advanced Differential Equations and Dynamical Systems (9 papers)
In The Last Decade
Barnabás M. Garay
45 papers receiving 333 citations
Peers
Comparison fields: 5 of 55
- Mathematical Physics 116
- Statistical and Nonlinear Physics 109
- Control and Systems Engineering 86
- Computer Networks and Communications 72
- Geometry and Topology 72
Countries citing papers authored by Barnabás M. Garay
This map shows the geographic impact of Barnabás M. Garay'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 Barnabás M. Garay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barnabás M. Garay more than expected).
Fields of papers citing papers by Barnabás M. Garay
This network shows the impact of papers produced by Barnabás M. Garay. 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 Barnabás M. Garay. The network helps show where Barnabás M. Garay may publish in the future.
Co-authorship network of co-authors of Barnabás M. Garay
This figure shows the co-authorship network connecting the top 25 collaborators of Barnabás M. Garay. A scholar is included among the top collaborators of Barnabás M. Garay 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 Barnabás M. Garay. Barnabás M. Garay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 17 | |
| 8 | 18 | |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 32 | |
| 13 | Existence results for infinite dimensional differential equations without compactness | 0 |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 17 | |
| 18 | 44 | |
| 19 | 4 | |
| 20 | 1 |
About Barnabás M. Garay
Barnabás M. Garay is a scholar working on Mathematical Physics, Numerical Analysis and Geometry and Topology, having authored 48 papers that have together received 375 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (16 papers), Stability and Controllability of Differential Equations (11 papers) and Advanced Differential Equations and Dynamical Systems (9 papers). The work is most often cited by research in Mathematical Physics (116 citations), Numerical Analysis (69 citations) and Statistical and Nonlinear Physics (109 citations). Barnabás M. Garay has collaborated with scholars based in Hungary, Italy and Germany. Frequent co-authors include Josef Hofbauer, Balázs Bánhelyi, Tibor Csendes, Bernd Aulbach, Wolf‐Jürgen Beyn, Stefan Hilger, Luca Pancioni, Keonhee Lee, László Hatvani and Anna Capietto. Their work appears in journals such as Journal of Mathematical Analysis and Applications, Chaos Solitons & Fractals and Journal of Differential Equations.
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.