Tamás Kalmár‐Nagy
- Mechanical Engineering top 10%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Gábor StépànFrancis C. MoonBalakumar BalachandranDavid E. GilsinnJosh DavidsonThomas ErneuxPiyush GroverC. P. Vyasarayani
- Topics
- Nonlinear Dynamics and Pattern Formation (12 papers)Fluid Dynamics and Vibration Analysis (9 papers)Iterative Learning Control Systems (9 papers)
- Journals
- Renewable and Sustainable Energy ReviewsJournal of Sound and VibrationPhilosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
- Partner nations
- HungaryUnited StatesJapan
In The Last Decade
Tamás Kalmár‐Nagy
65 papers receiving 875 citations
Peers
Comparison fields: 5 of 82
- Mechanical Engineering 298
- Control and Systems Engineering 272
- Biomedical Engineering 226
- Statistical and Nonlinear Physics 194
- Computer Networks and Communications 188
Countries citing papers authored by Tamás Kalmár‐Nagy
This map shows the geographic impact of Tamás Kalmár‐Nagy'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 Tamás Kalmár‐Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamás Kalmár‐Nagy more than expected).
Fields of papers citing papers by Tamás Kalmár‐Nagy
This network shows the impact of papers produced by Tamás Kalmár‐Nagy. 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 Tamás Kalmár‐Nagy. The network helps show where Tamás Kalmár‐Nagy may publish in the future.
Co-authorship network of co-authors of Tamás Kalmár‐Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Tamás Kalmár‐Nagy. A scholar is included among the top collaborators of Tamás Kalmár‐Nagy 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 Tamás Kalmár‐Nagy. Tamás Kalmár‐Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 44 | |
| 10 | 11 | |
| 11 | 13 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 110 | |
| 15 | 2 | |
| 16 | Genetic Algorithm for Combinatorial Search Problems | 4 |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 75 | |
| 20 | 187 |
About Tamás Kalmár‐Nagy
Tamás Kalmár‐Nagy is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering and Numerical Analysis, having authored 66 papers that have together received 913 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), Fluid Dynamics and Vibration Analysis (9 papers) and Iterative Learning Control Systems (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (194 citations), Numerical Analysis (72 citations) and Control and Systems Engineering (272 citations). Tamás Kalmár‐Nagy has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Gábor Stépàn, Francis C. Moon, Balakumar Balachandran, David E. Gilsinn, Josh Davidson, Thomas Erneux, Piyush Grover, C. P. Vyasarayani, Matthew A. Davies and Jon R. Pratt. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Sound and Vibration and Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences.
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.