Szabolcs Fischer

1.4k total citations
105 papers, 915 citations indexed

About

Szabolcs Fischer is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Szabolcs Fischer has authored 105 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Mechanical Engineering, 45 papers in Civil and Structural Engineering and 25 papers in Industrial and Manufacturing Engineering. Recurrent topics in Szabolcs Fischer's work include Railway Engineering and Dynamics (54 papers), Geotechnical Engineering and Underground Structures (14 papers) and Railway Systems and Energy Efficiency (10 papers). Szabolcs Fischer is often cited by papers focused on Railway Engineering and Dynamics (54 papers), Geotechnical Engineering and Underground Structures (14 papers) and Railway Systems and Energy Efficiency (10 papers). Szabolcs Fischer collaborates with scholars based in Hungary, Ukraine and Germany. Szabolcs Fischer's co-authors include Attila Németh, Mykola Sysyn, Dmytro Kurhan, Majid Movahedi Rad, Vitalii Kovalchuk, Olga Nabochenko, Eduardo Alonso Pérez de Ágreda, Jianxing Liu, László Gáspár and Zoltán Major and has published in prestigious journals such as SHILAP Revista de lepidopterología, Construction and Building Materials and Sensors.

In The Last Decade

Szabolcs Fischer

97 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Szabolcs Fischer Hungary 18 548 428 212 119 80 105 915
Marijonas Bogdevičius Lithuania 15 331 0.6× 252 0.6× 84 0.4× 103 0.9× 136 1.7× 92 746
Matti Rantatalo Sweden 17 987 1.8× 198 0.5× 94 0.4× 204 1.7× 93 1.2× 55 1.2k
Javad Sadeghi Iran 30 1.4k 2.6× 1.3k 3.1× 207 1.0× 273 2.3× 50 0.6× 93 1.8k
Sunil Kumar Sharma India 20 743 1.4× 523 1.2× 49 0.2× 210 1.8× 194 2.4× 89 1.1k
Yan Quan Sun Australia 24 1.3k 2.3× 443 1.0× 517 2.4× 485 4.1× 254 3.2× 88 1.6k
Krzysztof Zagórski Poland 18 248 0.5× 251 0.6× 73 0.3× 307 2.6× 58 0.7× 62 723
Juraj Gerlici Slovakia 22 1.2k 2.2× 291 0.7× 367 1.7× 171 1.4× 380 4.8× 151 1.5k
Rafał Burdzik Poland 16 669 1.2× 186 0.4× 85 0.4× 106 0.9× 255 3.2× 142 994
Chayut Ngamkhanong United Kingdom 22 619 1.1× 995 2.3× 46 0.2× 200 1.7× 16 0.2× 80 1.2k

Countries citing papers authored by Szabolcs Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Szabolcs Fischer. A scholar is included among the top collaborators of Szabolcs Fischer 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 Szabolcs Fischer. Szabolcs Fischer 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.
Kurhan, Dmytro, et al.. (2025). Investigation of Digital Light Processing-Based 3D Printing for Optimized Tooling in Automotive and Electronics Sheet Metal Forming. Journal of Manufacturing and Materials Processing. 9(1). 25–25.
2.
Kurhan, Dmytro, et al.. (2025). Investigation of FDM-Based 3D Printing for Optimized Tooling in Automotive and Electronics Sheet Metal Cutting. Applied Sciences. 15(1). 442–442. 1 indexed citations
3.
Banić, Milan, et al.. (2025). The Use of Earth Observation Data for Railway Infrastructure Monitoring—A Review. Infrastructures. 10(3). 66–66. 1 indexed citations
4.
Kurhan, Dmytro, et al.. (2025). Evaluating 3D-Printed Polylactic Acid (PLA)-Reinforced Materials: Mechanical Performance and Chemical Stability in Concrete Mediums. Applied Sciences. 15(4). 2165–2165. 3 indexed citations
5.
Fischer, Szabolcs, et al.. (2024). Sustainable Uses of 3D Printing Applied to Concrete Structures. SHILAP Revista de lepidopterología. 55–55. 1 indexed citations
6.
Esmaeili, Morteza, et al.. (2024). Effect of the Particle Size Distribution of the Ballast on the Lateral Resistance of Continuously Welded Rail Tracks. Infrastructures. 9(8). 129–129. 4 indexed citations
7.
Fischer, Szabolcs, et al.. (2024). INVESTIGATION OF HEAT-AFFECTED ZONES OF THERMITE RAIL WELDINGS. Facta Universitatis Series Mechanical Engineering. 689–689. 15 indexed citations
8.
Sysyn, Mykola, et al.. (2023). Prediction system of rolling contact fatigue on crossing nose based on support vector regression. Measurement. 210. 112579–112579. 11 indexed citations
9.
Kurhan, Dmytro, et al.. (2023). Optimization of 3D Printed Rapid Prototype Deep Drawing Tools for Automotive and Railway Sheet Material Testing. Infrastructures. 8(3). 43–43. 16 indexed citations
10.
Fischer, Szabolcs, et al.. (2023). IIoT-Supported Manufacturing-Material-Flow Tracking in a DES-Based Digital-Twin Environment. Infrastructures. 8(4). 75–75. 9 indexed citations
11.
Major, Zoltán, Majid Movahedi Rad, Attila Németh, et al.. (2023). Numerical Investigation of Pre-Stressed Reinforced Concrete Railway Sleeper for High-Speed Application. Infrastructures. 8(3). 41–41. 3 indexed citations
12.
Földesi, Péter, et al.. (2023). Testing Road Vehicle User Interfaces Concerning the Driver’s Cognitive Load. Infrastructures. 8(3). 49–49. 13 indexed citations
13.
Habashneh, Muayad, Majid Movahedi Rad, & Szabolcs Fischer. (2023). Bi-directional Evolutionary, Reliability-based, Geometrically Nonlinear, Elasto-Plastic Topology Optimization, of 3D Structures. Acta Polytechnica Hungarica. 20(1). 169–186. 6 indexed citations
14.
Lou, Ping, et al.. (2023). Experimental and Statistical Analysis of the Vertical Temperature Gradient, for Ballastless Railway Track, in Alpine and Plateau Environs. Acta Polytechnica Hungarica. 20(1). 123–142. 3 indexed citations
15.
Li, Yaonan, et al.. (2023). Method of Railway Subgrade Diseases (defects) Inspection, based on Ground Penetrating Radar. Acta Polytechnica Hungarica. 20(1). 199–211. 4 indexed citations
16.
Sysyn, Mykola, et al.. (2023). Inner shear resistance increasing effect of Concrete Canvas in ballasted railway tracks. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 64–70. 2 indexed citations
17.
Kurhan, Dmytro, et al.. (2023). Testing of Lubricants for DIC Tests to Measure the Forming Limit Diagrams of Aluminum Thin Sheet Materials. Infrastructures. 8(2). 32–32. 5 indexed citations
18.
Fischer, Szabolcs & Dmytro Kurhan. (2021). Modeling of the dynamic rail deflection using elastic wave propagation. SHILAP Revista de lepidopterología. 30 indexed citations
19.
Rad, Majid Movahedi, et al.. (2019). DISCRETE ELEMENT MODELLING OF PARTICLE DEGARDATION OF RAILWAY BALLAST MATERIAL WITH PFC3D SOFTWARE. SHILAP Revista de lepidopterología. 103–116. 8 indexed citations
20.
Fischer, Szabolcs, et al.. (2011). Superstructure Stabilization of Ballast Bedded Railway Tracks with Geogrids. Hungarian Journal of Industry and Chemistry. 39(1). 101–106. 10 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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