Libor Pantělejev

576 total citations
25 papers, 441 citations indexed

About

Libor Pantělejev is a scholar working on Mechanical Engineering, Automotive Engineering and Biomaterials. According to data from OpenAlex, Libor Pantělejev has authored 25 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 13 papers in Automotive Engineering and 5 papers in Biomaterials. Recurrent topics in Libor Pantělejev's work include Additive Manufacturing Materials and Processes (15 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and High Entropy Alloys Studies (7 papers). Libor Pantělejev is often cited by papers focused on Additive Manufacturing Materials and Processes (15 papers), Additive Manufacturing and 3D Printing Technologies (13 papers) and High Entropy Alloys Studies (7 papers). Libor Pantělejev collaborates with scholars based in Czechia, Austria and Italy. Libor Pantělejev's co-authors include Daniel Koutný, David Paloušek, Jozef Kaiser, Tomáš Zikmund, Ondřej Man, Frank Palm, Ludvík Kunz, Laurent Pambaguian, Lenka Klakurková and Benjamin Werner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and Materials.

In The Last Decade

Libor Pantělejev

25 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Libor Pantělejev Czechia 14 410 267 71 50 39 25 441
Gao Huang China 11 455 1.1× 199 0.7× 114 1.6× 25 0.5× 47 1.2× 14 511
Mengcheng Gong China 16 536 1.3× 190 0.7× 85 1.2× 72 1.4× 23 0.6× 27 560
Derui Jiang Australia 9 537 1.3× 242 0.9× 87 1.2× 61 1.2× 26 0.7× 11 592
A. Raja India 8 354 0.9× 191 0.7× 52 0.7× 42 0.8× 22 0.6× 11 390
Saereh Mirzababaei United States 9 389 0.9× 283 1.1× 77 1.1× 33 0.7× 43 1.1× 12 454
Enquan Liang China 11 519 1.3× 252 0.9× 156 2.2× 97 1.9× 24 0.6× 17 562
Yiming Chi China 6 364 0.9× 113 0.4× 95 1.3× 88 1.8× 33 0.8× 8 427
Darren Feenstra Australia 6 566 1.4× 291 1.1× 106 1.5× 85 1.7× 32 0.8× 6 621
Zhongxu Xiao China 13 765 1.9× 442 1.7× 107 1.5× 108 2.2× 20 0.5× 21 794
Hossein Eskandari Sabzi United Kingdom 10 419 1.0× 165 0.6× 150 2.1× 51 1.0× 21 0.5× 15 450

Countries citing papers authored by Libor Pantělejev

Since Specialization
Citations

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

Fields of papers citing papers by Libor Pantělejev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Libor Pantělejev

This figure shows the co-authorship network connecting the top 25 collaborators of Libor Pantělejev. A scholar is included among the top collaborators of Libor Pantělejev 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 Libor Pantělejev. Libor Pantělejev 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.
Koutný, Daniel, et al.. (2024). Numerical and Experimental Evaluation of Structured Material for Use in Multiscale Topology Optimization. Advanced Engineering Materials. 26(13). 1 indexed citations
2.
Maleki, Erfan, et al.. (2024). Application of impact-based and laser-based surface severe plastic deformation methods on additively manufactured 316L: Microstructure, tensile and fatigue behaviors. Materials Science and Engineering A. 916. 147360–147360. 11 indexed citations
3.
Pantělejev, Libor, et al.. (2023). Processing of AZ91D Magnesium Alloy by Laser Powder Bed Fusion. Applied Sciences. 13(3). 1377–1377. 13 indexed citations
4.
Zikmund, Tomáš, et al.. (2022). Deviations of the SLM Produced Lattice Structures and Their Influence on Mechanical Properties. Materials. 15(9). 3144–3144. 20 indexed citations
5.
Klakurková, Lenka, et al.. (2022). Effect of Preheating on the Residual Stress and Material Properties of Inconel 939 Processed by Laser Powder Bed Fusion. Materials. 15(18). 6360–6360. 15 indexed citations
6.
Koutný, Daniel, et al.. (2021). Effect of high-temperature preheating on pure copper thick-walled samples processed by laser powder bed fusion. Journal of Manufacturing Processes. 73. 924–938. 28 indexed citations
7.
Werner, Benjamin, et al.. (2021). Computational Approaches of Quasi-Static Compression Loading of SS316L Lattice Structures Made by Selective Laser Melting. Materials. 14(9). 2462–2462. 21 indexed citations
8.
Roudnická, Michaela, Jiří Kubásek, Libor Pantělejev, et al.. (2021). Heat treatment of laser powder-bed-fused Co–28Cr–6Mo alloy to remove its microstructural instability by massive FCC→HCP transformation. Additive manufacturing. 47. 102265–102265. 18 indexed citations
9.
Pantělejev, Libor, et al.. (2020). Processing of AlSi9Cu3 alloy by selective laser melting. Powder Metallurgy. 63(3). 197–211. 7 indexed citations
10.
Zikmund, Tomáš, et al.. (2019). Computed tomography based procedure for reproducible porosity measurement of additive manufactured samples. NDT & E International. 103. 111–118. 28 indexed citations
11.
Koutný, Daniel, et al.. (2018). Effect of heat treatment on mechanical properties and residual stresses in additively manufactured parts. Engineering Mechanics .... 897–900. 4 indexed citations
12.
Koutný, Daniel, et al.. (2018). Selective Laser Melting Strategy for Fabrication of Thin Struts Usable in Lattice Structures. Materials. 11(9). 1763–1763. 34 indexed citations
13.
Koutný, Daniel, et al.. (2018). Processing of Al-Sc aluminum alloy using SLM technology. Procedia CIRP. 74. 44–48. 47 indexed citations
14.
Paloušek, David, Libor Pantělejev, Lenka Klakurková, et al.. (2018). SLM process parameters development of Cu-alloy Cu7.2Ni1.8Si1Cr. Rapid Prototyping Journal. 25(2). 266–276. 15 indexed citations
15.
Pantělejev, Libor, et al.. (2017). Mechanical Properties of Extruded and ECAP Processed Magnesium Alloy AZ91 at Elevated Temperature. Materials science forum. 891. 366–371. 2 indexed citations
16.
Pantělejev, Libor, Daniel Koutný, David Paloušek, & Jozef Kaiser. (2017). Mechanical and Microstructural Properties of 2618 Al-Alloy Processed by SLM Remelting Strategy. Materials science forum. 891. 343–349. 24 indexed citations
17.
Koutný, Daniel, et al.. (2016). COMPARISON OF SELECTIVE LASER MELTING OF 18NI MARAGING STEEL BY PXL AND M2 CUSING. MM Science Journal. 2016(6). 1590–1596. 8 indexed citations
18.
Pantělejev, Libor, et al.. (2015). Changes in mechanical properties of as-cast magnesium alloy AZ91 after equal channel angular pressing. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Fintová, Stanislava, Libor Pantělejev, & Ludvík Kunz. (2014). Microstructure and Mechanical Properties of Ultrafine-Grained Magnesium AZ91 Alloy. Materials science forum. 782. 384–389. 5 indexed citations
20.
Kunz, Ludvík, et al.. (2010). Stability of Microstructure of Ultrafine‐Grained Copper Under Fatigue and Thermal Exposition. Strain. 47(6). 476–482. 5 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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