Radovan Galas

415 total citations
24 papers, 292 citations indexed

About

Radovan Galas is a scholar working on Mechanical Engineering, Mechanics of Materials and Automotive Engineering. According to data from OpenAlex, Radovan Galas has authored 24 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 18 papers in Mechanics of Materials and 10 papers in Automotive Engineering. Recurrent topics in Radovan Galas's work include Railway Engineering and Dynamics (21 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Brake Systems and Friction Analysis (10 papers). Radovan Galas is often cited by papers focused on Railway Engineering and Dynamics (21 papers), Adhesion, Friction, and Surface Interactions (11 papers) and Brake Systems and Friction Analysis (10 papers). Radovan Galas collaborates with scholars based in Czechia, China and Slovakia. Radovan Galas's co-authors include Milan Omasta, Martin Hartl, Ivan Křupka, Haohao Ding, Lubing Shi, Wenjian Wang, Q.Y. Liu, Junlong Guo, W.J. Wang and Qiyue Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Wear and Tribology International.

In The Last Decade

Radovan Galas

22 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Radovan Galas Czechia	12	275	228	72	33	19	24	292
Alexander Meierhofer Austria	9	339 1.2×	280 1.2×	32 0.4×	68 2.1×	33 1.7×	23	370
Gerald Trummer Austria	13	402 1.5×	330 1.4×	19 0.3×	82 2.5×	27 1.4×	32	422
Jingdong Song China	9	254 0.9×	170 0.7×	13 0.2×	102 3.1×	10 0.5×	15	290
Britta Schramm Germany	7	192 0.7×	227 1.0×	42 0.6×	56 1.7×	19 1.0×	27	321
Christopher R. D’Elia United States	10	230 0.8×	79 0.3×	61 0.8×	72 2.2×	23 1.2×	16	294
João da Cruz Payão Filho Brazil	14	418 1.5×	80 0.4×	85 1.2×	78 2.4×	23 1.2×	30	448
Mingzhuo Zhou China	9	262 1.0×	200 0.9×	30 0.4×	108 3.3×	6 0.3×	10	327
X.J. Zhao China	10	381 1.4×	335 1.5×	8 0.1×	170 5.2×	7 0.4×	10	404
Štěpán Jeníček Czechia	8	273 1.0×	96 0.4×	70 1.0×	120 3.6×	9 0.5×	58	307
Dinesh W. Rathod India	14	498 1.8×	94 0.4×	62 0.9×	96 2.9×	17 0.9×	28	538

Countries citing papers authored by Radovan Galas

Since Specialization

Citations

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

Fields of papers citing papers by Radovan Galas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Radovan Galas

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

All Works

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20 of 20 papers shown

Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2024). A benchmarking methodology for top-of-rail products: Carry distance and retentivity. Tribology International. 197. 109810–109810. 2 indexed citations

Omasta, Milan, et al.. (2024). Case Study: Correlations Between Curve Squeal, Weather Conditions, and Traction in a Tram Loop. Tribology in Industry. 46(4). 695–708.

Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2024). Assessing the Performance of TOR Lubricants in Humid Environments and Under Dew Conditions. Tribology Letters. 72(3).

Shi, Lubing, Jiaxin Li, Haohao Ding, et al.. (2023). Rheological and tribological performance of top-of-rail friction modifiers with different viscosities. Wear. 538-539. 205229–205229. 3 indexed citations

Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2023). A benchmarking methodology for top-of-rail products. Tribology International. 189. 108910–108910. 3 indexed citations

Ding, Haohao, et al.. (2023). Wear and damage behaviours of wheel and rail materials: Effects of friction modifier and environmental temperature. Wear. 523. 204796–204796. 12 indexed citations

Omasta, Milan, et al.. (2023). An approach for the creep-curve assessment using a new rail tribometer. Tribology International. 191. 109153–109153. 3 indexed citations

Galas, Radovan, Milan Omasta, Haohao Ding, et al.. (2023). The performance of top-of-rail products under water contamination. Tribology International. 188. 108872–108872. 4 indexed citations

Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2022). The effect of top of rail lubricant composition on adhesion and rheological behaviour. Engineering Science and Technology an International Journal. 35. 101100–101100. 17 indexed citations

10.

Galas, Radovan, et al.. (2022). Shear properties of top-of-rail products in numerical modelling. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 237(6). 796–805. 4 indexed citations

11.

Omasta, Milan, et al.. (2022). Design and Development of a Twin Disc Test Rig for the Study of Squeal Noise from the Wheel – Rail Interface. SHILAP Revista de lepidopterología. 7(1). 10–16. 2 indexed citations

12.

Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2022). Wheel Squeal Noise in Rail Transport: The Effect of Friction Modifier Composition. Tribology in Industry. 44(3). 361–373. 3 indexed citations

13.

Shi, Lubing, Haohao Ding, Weijie Wang, et al.. (2021). Adhesion and damage characteristics of wheel/rail using different mineral particles as adhesion enhancers. Wear. 477. 203796–203796. 18 indexed citations

14.

Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2021). Asperity-based model for prediction of traction in water-contaminated wheel-rail contact. Tribology International. 157. 106900–106900. 18 indexed citations

15.

Song, Jingdong, Lubing Shi, Haohao Ding, et al.. (2021). Effects of solid friction modifier on friction and rolling contact fatigue damage of wheel-rail surfaces. Friction. 10(4). 597–607. 24 indexed citations

16.

Shi, Lubing, Haohao Ding, Radovan Galas, et al.. (2020). Laboratory investigation on the particle-size effects in railway sanding: Comparisons between standard sand and its micro fragments. Tribology International. 146. 106259–106259. 34 indexed citations

17.

Galas, Radovan, Milan Omasta, Lubing Shi, et al.. (2020). The low adhesion problem: The effect of environmental conditions on adhesion in rolling-sliding contact. Tribology International. 151. 106521–106521. 25 indexed citations

18.

Shi, Lubing, Radovan Galas, Milan Omasta, et al.. (2019). Study on the wheel/rail adhesion restoration and damage evolution in the single application of alumina particles. Wear. 426-427. 1807–1819. 13 indexed citations

19.

Galas, Radovan, et al.. (2017). Case Study: the Influence of Oil-based Friction Modifier Quantity on Tram Braking Distance and Noise. Tribology in Industry. 39(2). 198–206. 19 indexed citations

20.

Galas, Radovan, et al.. (2017). The role of constituents contained in water–based friction modifiers for top–of–rail application. Tribology International. 117. 87–97. 29 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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