Tibor Nagy

2.9k total citations
98 papers, 2.2k citations indexed

About

Tibor Nagy is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Organic Chemistry. According to data from OpenAlex, Tibor Nagy has authored 98 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Fluid Flow and Transfer Processes, 27 papers in Computational Mechanics and 21 papers in Organic Chemistry. Recurrent topics in Tibor Nagy's work include Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (22 papers) and Advanced Chemical Physics Studies (12 papers). Tibor Nagy is often cited by papers focused on Advanced Combustion Engine Technologies (29 papers), Combustion and flame dynamics (22 papers) and Advanced Chemical Physics Studies (12 papers). Tibor Nagy collaborates with scholars based in Hungary, Ireland and United States. Tibor Nagy's co-authors include Tamás Turányi, István Gy. Zsély, Henry J. Curran, Tamás Varga, Carsten Olm, Markus Meuwly, Éva Valkó, Máté Papp, György Lendvay and Stewart Williams and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and Physical Chemistry Chemical Physics.

In The Last Decade

Tibor Nagy

90 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tibor Nagy Hungary 26 1.0k 960 412 395 380 98 2.2k
Steven Zabarnick United States 30 968 0.9× 1.4k 1.5× 457 1.1× 483 1.2× 232 0.6× 82 2.6k
Raghu Sivaramakrishnan United States 30 1.4k 1.3× 943 1.0× 373 0.9× 601 1.5× 264 0.7× 76 2.2k
Jürgen Warnatz Germany 29 1.6k 1.6× 1.7k 1.7× 639 1.6× 1.0k 2.6× 115 0.3× 45 3.1k
G. Scacchi France 20 1.0k 1.0× 824 0.9× 215 0.5× 498 1.3× 208 0.5× 54 1.7k
Donald R. Burgess United States 28 498 0.5× 461 0.5× 529 1.3× 452 1.1× 252 0.7× 74 2.4k
Alexander Burcat Israel 25 1.0k 1.0× 850 0.9× 770 1.9× 537 1.4× 410 1.1× 73 2.4k
Assa Lifshitz Israel 29 1.2k 1.1× 726 0.8× 636 1.5× 585 1.5× 370 1.0× 117 2.8k
Robert S. Tranter United States 29 1.2k 1.1× 755 0.8× 350 0.8× 406 1.0× 262 0.7× 86 2.0k
C. Franklin Goldsmith United States 32 1.3k 1.2× 824 0.9× 361 0.9× 1.5k 3.7× 469 1.2× 98 3.2k
Akira Sekiya Japan 24 380 0.4× 306 0.3× 345 0.8× 398 1.0× 650 1.7× 150 2.4k

Countries citing papers authored by Tibor Nagy

Since Specialization
Citations

This map shows the geographic impact of Tibor 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 Tibor Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tibor Nagy more than expected).

Fields of papers citing papers by Tibor Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tibor 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 Tibor Nagy. The network helps show where Tibor Nagy may publish in the future.

Co-authorship network of co-authors of Tibor Nagy

This figure shows the co-authorship network connecting the top 25 collaborators of Tibor Nagy. A scholar is included among the top collaborators of Tibor 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 Tibor Nagy. Tibor Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kovács, Márton, Máté Papp, István Gy. Zsély, Tibor Nagy, & Tamás Turányi. (2025). Uncertainty quantification of a newly optimized methanol/NOx combustion mechanism. Proceedings of the Combustion Institute. 41. 105938–105938.
2.
Turányi, Tamás, István Gy. Zsély, Máté Papp, et al.. (2025). ReSpecTh: Reaction kinetics, spectroscopy, and thermochemical datasets. Scientific Data. 12(1). 1021–1021. 2 indexed citations
3.
Zhang, Peng, István Gy. Zsély, Máté Papp, et al.. (2025). Comparison of methane combustion mechanisms using concentration measurements. Combustion and Flame. 282. 114499–114499.
4.
Su, Boyang, Tibor Nagy, Máté Papp, & Tamás Turányi. (2025). Reduction-assisted parameter optimization of the ethylene chemistry in the AramcoMech 2.0 combustion mechanism. Combustion and Flame. 273. 113976–113976. 4 indexed citations
5.
6.
Nagy, Tibor, et al.. (2025). A focus on the first-stage ignition of n-pentane. Combustion and Flame. 277. 114207–114207. 3 indexed citations
7.
Kovács, Márton, et al.. (2024). Optimization of a methanol/NOx combustion mechanism based on a large amount of experimental data. Fuel. 375. 132544–132544. 6 indexed citations
8.
Papp, Máté, et al.. (2024). Mechanism development for larger alkanes by auto-generation and rate rule optimization: A case study of the pentane isomers. Proceedings of the Combustion Institute. 40(1-4). 105408–105408. 4 indexed citations
9.
Su, Bin, Máté Papp, István Gy. Zsély, et al.. (2023). Comparison of the performance of ethylene combustion mechanisms. Combustion and Flame. 260. 113201–113201. 9 indexed citations
10.
Lónyi, Ferenc, Tibor Nagy, Gyula Novodárszki, et al.. (2023). Ethanol Coupling Reactions over MgO–Al2O3 Mixed Oxide-Based Catalysts for Producing Biofuel Additives. Molecules. 28(9). 3788–3788. 5 indexed citations
11.
Kovács, Márton, Máté Papp, Tamás Turányi, & Tibor Nagy. (2022). A novel active parameter selection strategy for the efficient optimization of combustion mechanisms. Proceedings of the Combustion Institute. 39(4). 5259–5267. 12 indexed citations
12.
Papp, Máté, et al.. (2022). Efficient numerical methods for the optimisation of large kinetic reaction mechanisms. Combustion Theory and Modelling. 26(6). 1071–1097. 12 indexed citations
13.
Papp, Máté, et al.. (2022). Comparison and Analysis of Butanol Combustion Mechanisms. Energy & Fuels. 36(18). 11154–11176. 11 indexed citations
14.
Zhang, Peng, István Gy. Zsély, Máté Papp, Tibor Nagy, & Tamás Turányi. (2021). Comparison of methane combustion mechanisms using laminar burning velocity measurements. Combustion and Flame. 238. 111867–111867. 43 indexed citations
15.
Zhang, Peng, et al.. (2021). Comparison of Methane Combustion Mechanisms Using Shock Tube and Rapid Compression Machine Ignition Delay Time Measurements. Energy & Fuels. 35(15). 12329–12351. 34 indexed citations
16.
Valkó, Éva, Máté Papp, Márton Kovács, et al.. (2021). Design of combustion experiments using differential entropy. Combustion Theory and Modelling. 26(1). 67–90. 9 indexed citations
17.
Kovács, Tamás, J. M. C. Plane, Wuhu Feng, et al.. (2016). D -region ion–neutral coupled chemistry (Sodankylä IonChemistry, SIC) within the Whole Atmosphere Community Climate Model (WACCM 4)– WACCM-SIC and WACCM-rSIC. Geoscientific model development. 9(9). 3123–3136. 15 indexed citations
18.
Kovács, Tamás, J. M. C. Plane, Wuhu Feng, et al.. (2016). D region ion-neutral coupled chemistry within a whole atmosphere chemistry-climate model. 1 indexed citations
19.
Tolvaj, László, et al.. (2001). Wood degradation caused by KrF UV-laser. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 1 indexed citations
20.
Nagy, Tibor, et al.. (1965). Elektronenmikroskopische Untersuchung junger und reifer menschlicher Placenten. Archives of Gynecology and Obstetrics. 200(5). 428–440. 8 indexed citations

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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