Jan Papuga

901 total citations
62 papers, 679 citations indexed

About

Jan Papuga is a scholar working on Mechanics of Materials, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Jan Papuga has authored 62 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Mechanics of Materials, 41 papers in Mechanical Engineering and 20 papers in Civil and Structural Engineering. Recurrent topics in Jan Papuga's work include Fatigue and fracture mechanics (51 papers), Probabilistic and Robust Engineering Design (18 papers) and High Temperature Alloys and Creep (14 papers). Jan Papuga is often cited by papers focused on Fatigue and fracture mechanics (51 papers), Probabilistic and Robust Engineering Design (18 papers) and High Temperature Alloys and Creep (14 papers). Jan Papuga collaborates with scholars based in Czechia, Germany and Poland. Jan Papuga's co-authors include Aleksander Karolczuk, Milan Růžička, Radim Halama, Thierry Palin‐Luc, Jaroslav Svoboda, Adam Niesłony, Filippo Berto, Alexei Vinogradov, Jan Šimota and Libor Beránek and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

Jan Papuga

56 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Papuga Czechia 13 587 398 266 157 115 62 679
Marta Kurek Poland 13 380 0.6× 316 0.8× 168 0.6× 61 0.4× 121 1.1× 49 485
F.C. Castro Brazil 18 721 1.2× 516 1.3× 161 0.6× 66 0.4× 81 0.7× 45 823
Dariusz Skibicki Poland 12 430 0.7× 375 0.9× 146 0.5× 54 0.3× 126 1.1× 52 527
Alfons Esderts Germany 11 349 0.6× 327 0.8× 129 0.5× 50 0.3× 88 0.8× 49 462
E. Macha Poland 15 595 1.0× 310 0.8× 289 1.1× 150 1.0× 186 1.6× 40 669
Jürgen Maierhofer Austria 11 410 0.7× 394 1.0× 106 0.4× 40 0.3× 140 1.2× 27 521
B. Moreno Spain 15 499 0.9× 342 0.9× 202 0.8× 73 0.5× 94 0.8× 35 574
Piao Li China 15 282 0.5× 297 0.7× 95 0.4× 33 0.2× 73 0.6× 45 447
Antoine Fissolo France 12 340 0.6× 288 0.7× 133 0.5× 31 0.2× 146 1.3× 24 466
Zizi Lu United States 12 380 0.6× 193 0.5× 157 0.6× 92 0.6× 37 0.3× 16 430

Countries citing papers authored by Jan Papuga

Since Specialization
Citations

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

Fields of papers citing papers by Jan Papuga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Papuga

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Papuga. A scholar is included among the top collaborators of Jan Papuga 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 Jan Papuga. Jan Papuga 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.
Papuga, Jan, et al.. (2025). Application of Self-Heating Method to Estimate Fatigue Limit of 42CrMo4+QT Steel under Fretting Fatigue Conditions. Procedia Structural Integrity. 68. 527–533.
2.
Slaný, Michal, et al.. (2025). Effect of Laser Shock Peening on fatigue properties of additively manufactured AlSi10Mg. International Journal of Fatigue. 201. 109149–109149. 1 indexed citations
3.
Papuga, Jan, et al.. (2024). Notched structural steel specimens assessed by selected fatigue analysis methods. Journal of Constructional Steel Research. 219. 108789–108789. 1 indexed citations
4.
Muñiz‐Calvente, Miguel, et al.. (2024). Influence of turning parameters on residual stresses and roughness of 42CrMo4 + QT. The International Journal of Advanced Manufacturing Technology. 134(5-6). 2897–2919.
5.
Papuga, Jan, et al.. (2024). The effect of heat treatment on fatigue strength of additively manufactured AlSi10Mg. Procedia Structural Integrity. 57. 327–334. 1 indexed citations
6.
Šimota, Jan, et al.. (2024). S–N curves established from limiting energy in the case of specimens additively manufactured from AlSi10Mg. Fatigue & Fracture of Engineering Materials & Structures. 47(12). 4771–4790. 2 indexed citations
7.
Papuga, Jan, et al.. (2024). Fatigue analysis and heat treatment comparison of additively manufactured specimens from AlSi10Mg alloy. International Journal of Fatigue. 185. 108357–108357. 9 indexed citations
8.
Papuga, Jan, et al.. (2024). Fretting fatigue of 42CrMo4+QT steel: Experimental and numerical assessment. International Journal of Fatigue. 189. 108575–108575. 2 indexed citations
9.
Papuga, Jan, et al.. (2024). Advancements in stress‐based multiaxial fatigue prediction: A data‐driven approach and a new criterion. Fatigue & Fracture of Engineering Materials & Structures. 47(6). 2139–2155. 1 indexed citations
10.
Papuga, Jan, et al.. (2024). Dissipative energy as a fatigue parameter of additively manufactured AlSi10Mg samples. Procedia Structural Integrity. 53. 29–36. 2 indexed citations
11.
Benasciutti, Denis, et al.. (2023). Uncertainty of Estimated Rainflow Damage in Stationary Random Loadings and in Those Stationary per partes. Applied Sciences. 13(5). 2808–2808. 1 indexed citations
12.
Papuga, Jan, et al.. (2023). Investigation of the size effect on 42CrMo4 + QT steel in the high-cycle fatigue domain part I: Experimental campaign. International Journal of Fatigue. 175. 107743–107743. 10 indexed citations
13.
Halama, Radim, et al.. (2022). An Approximate Method for Calculating Elastic–Plastic Stress and Strain on Notched Specimens. Materials. 15(4). 1432–1432. 2 indexed citations
14.
Papuga, Jan, et al.. (2022). Benchmarking Newer Multiaxial Fatigue Strength Criteria on Data Sets of Various Sizes. Metals. 12(2). 289–289. 11 indexed citations
15.
Papuga, Jan, et al.. (2022). Evaluating size effects on fatigue life of 42CrMo4+QT steel using a statistical S-N model with highly-stressed volume and surface. Procedia Structural Integrity. 42. 1414–1421. 3 indexed citations
16.
Vinogradov, Alexei, et al.. (2021). A novel predictive model for multiaxial fatigue in carburized bevel gears. Fatigue & Fracture of Engineering Materials & Structures. 44(8). 2033–2053. 23 indexed citations
17.
Papuga, Jan, et al.. (2020). Validation of Multiaxial Fatigue Strength Criteria on Specimens from Structural Steel in the High-Cycle Fatigue Region. Materials. 14(1). 116–116. 7 indexed citations
18.
Papuga, Jan, et al.. (2018). Steps to increase practical applicability of PragTic software. Advances in Engineering Software. 129. 57–68. 6 indexed citations
19.
Papuga, Jan, et al.. (2012). EVALUATION OF UNIAXIAL FATIGUE CRITERIA APPLIED TO MULTIAXIALLY LOADED UNNOTCHED SAMPLES. 26 indexed citations
20.
Papuga, Jan, et al.. (2007). Two new multiaxial criteria for high cycle fatigue computation. International Journal of Fatigue. 30(1). 58–66. 73 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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