Tamás Kalmár‐Nagy

103 total papers · 1.3k total citations
66 papers, 908 citations indexed

About

Tamás Kalmár‐Nagy is a scholar working on Control and Systems Engineering, Statistical and Nonlinear Physics and Computational Mechanics. According to data from OpenAlex, Tamás Kalmár‐Nagy has authored 66 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 16 papers in Statistical and Nonlinear Physics and 16 papers in Computational Mechanics. Recurrent topics in Tamás Kalmár‐Nagy's work include Nonlinear Dynamics and Pattern Formation (12 papers), Iterative Learning Control Systems (9 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Tamás Kalmár‐Nagy is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (12 papers), Iterative Learning Control Systems (9 papers) and Fluid Dynamics and Vibration Analysis (9 papers). Tamás Kalmár‐Nagy collaborates with scholars based in Hungary, United States and Japan. Tamás Kalmár‐Nagy's co-authors include Gábor Stépàn, Francis C. Moon, Balakumar Balachandran, David E. Gilsinn, Josh Davidson, Thomas Erneux, Piyush Grover, C. P. Vyasarayani, Michael D. Kennedy and Jon R. Pratt and has published in prestigious 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.

In The Last Decade

Tamás Kalmár‐Nagy

65 papers receiving 869 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamás Kalmár‐Nagy 299 271 227 194 189 66 908
Jànos Turi 349 1.2× 410 1.5× 280 1.2× 68 0.4× 89 0.5× 71 965
Grzegorz Kudra 135 0.5× 328 1.2× 107 0.5× 233 1.2× 104 0.6× 71 714
Benson H. Tongue 105 0.4× 253 0.9× 78 0.3× 269 1.4× 157 0.8× 57 818
Ming-Jyi Jang 255 0.9× 278 1.0× 146 0.6× 244 1.3× 89 0.5× 34 937
Mina B. Abd‐el‐Malek 253 0.8× 148 0.5× 264 1.2× 109 0.6× 39 0.2× 75 796
R.H.B. Fey 188 0.6× 341 1.3× 186 0.8× 188 1.0× 197 1.0× 89 1.0k
Arkadiusz Syta 386 1.3× 186 0.7× 143 0.6× 269 1.4× 135 0.7× 48 883
Alicia Gonzalez-Buelga 293 1.0× 299 1.1× 70 0.3× 85 0.4× 80 0.4× 27 1.0k
Abolhassan Razminia 144 0.5× 162 0.6× 72 0.3× 159 0.8× 97 0.5× 58 772
Lincong Chen 97 0.3× 333 1.2× 78 0.3× 295 1.5× 56 0.3× 82 942

Countries citing papers authored by Tamás Kalmár‐Nagy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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