Mario J. Kriegel

1.4k total citations
47 papers, 1.1k citations indexed

About

Mario J. Kriegel is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Mario J. Kriegel has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Materials Chemistry, 36 papers in Mechanical Engineering and 7 papers in Mechanics of Materials. Recurrent topics in Mario J. Kriegel's work include Intermetallics and Advanced Alloy Properties (19 papers), Microstructure and Mechanical Properties of Steels (16 papers) and Shape Memory Alloy Transformations (13 papers). Mario J. Kriegel is often cited by papers focused on Intermetallics and Advanced Alloy Properties (19 papers), Microstructure and Mechanical Properties of Steels (16 papers) and Shape Memory Alloy Transformations (13 papers). Mario J. Kriegel collaborates with scholars based in Germany, Russia and Ukraine. Mario J. Kriegel's co-authors include Olga Fabrichnaya, Boris B. Straumal, А. С. Горнакова, David Rafaja, Andrey Mazilkin, A.R. Kilmametov, Andreas Leineweber, Horst Hahn, V. Klemm and Thomas Niendorf and has published in prestigious journals such as Advanced Materials, Nature Communications and Acta Materialia.

In The Last Decade

Mario J. Kriegel

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario J. Kriegel Germany 19 897 839 174 159 81 47 1.1k
B.C. Hornbuckle United States 22 1.3k 1.4× 1.1k 1.3× 259 1.5× 181 1.1× 105 1.3× 77 1.6k
V. P. Pilyugin Russia 17 1.0k 1.1× 965 1.2× 350 2.0× 136 0.9× 63 0.8× 121 1.2k
S. V. Dobatkin Russia 18 924 1.0× 931 1.1× 255 1.5× 166 1.0× 42 0.5× 54 1.2k
Weizong Bao China 19 526 0.6× 669 0.8× 239 1.4× 138 0.9× 79 1.0× 50 932
Zhao Cheng China 12 910 1.0× 1.0k 1.2× 345 2.0× 199 1.3× 26 0.3× 23 1.3k
Y.Z. Chen China 21 838 0.9× 951 1.1× 234 1.3× 374 2.4× 62 0.8× 53 1.2k
Kristopher A. Darling United States 23 819 0.9× 1.2k 1.4× 294 1.7× 337 2.1× 45 0.6× 50 1.4k
Yanlin He China 19 727 0.8× 782 0.9× 200 1.1× 193 1.2× 71 0.9× 78 1.1k
A. B. Straumal Russia 20 475 0.5× 846 1.0× 189 1.1× 392 2.5× 165 2.0× 30 1.1k

Countries citing papers authored by Mario J. Kriegel

Since Specialization
Citations

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

Fields of papers citing papers by Mario J. Kriegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario J. Kriegel. 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 Mario J. Kriegel. The network helps show where Mario J. Kriegel may publish in the future.

Co-authorship network of co-authors of Mario J. Kriegel

This figure shows the co-authorship network connecting the top 25 collaborators of Mario J. Kriegel. A scholar is included among the top collaborators of Mario J. Kriegel 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 Mario J. Kriegel. Mario J. Kriegel 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.
Kriegel, Mario J., et al.. (2024). Experimental Investigation and Thermodynamic Modeling of the Li$$_2$$O–Al$$_2$$O$$_3$$ System. Journal of Phase Equilibria and Diffusion. 45(1). 36–55. 12 indexed citations
2.
Kriegel, Mario J., et al.. (2024). On the Effect of Chemical Heterogeneity on the Shape Memory Performance of Fe–Ni–Co–Al–Ti Single Crystals. Shape Memory and Superelasticity. 10(4). 452–459.
3.
Leineweber, Andreas, et al.. (2023). A third generation CalPhaD assessment of the Fe–Mn–Ti system Part II: The ternary system Fe–Mn–Ti. Calphad. 81. 102553–102553. 6 indexed citations
4.
Leineweber, Andreas, et al.. (2023). A third generation CalPhaD assessment of the Fe–Mn–Ti system part I: The binary subsystems Fe–Mn, Fe–Ti and Mn–Ti. Calphad. 81. 102555–102555. 8 indexed citations
5.
Freudenberger, J., Christina Wüstefeld, Malte Vollmer, et al.. (2023). Thermodynamically Guided Improvement of Fe–Mn–Al–Ni Shape‐Memory Alloys. Advanced Materials. 36(5). e2306794–e2306794. 7 indexed citations
6.
Kriegel, Mario J., et al.. (2022). Thermodynamic re-modelling of the Cu–Nb–Sn system: Integrating the nausite phase. Calphad. 77. 102409–102409. 7 indexed citations
7.
Kriegel, Mario J., et al.. (2021). Nanoscale twinning and superstructures of martensite in the Fe–Mn–Al–Ni system. Materialia. 16. 101062–101062. 8 indexed citations
8.
Weidner, Anja, Alexei Vinogradov, Malte Vollmer, et al.. (2021). In situ characterization of the functional degradation of a [ 00 1 ¯ ] orientated Fe–Mn–Al–Ni single crystal under compression using acoustic emission measurements. Acta Materialia. 220. 117333–117333. 16 indexed citations
9.
Kriegel, Mario J., et al.. (2021). Binary Ti–Fe system. Part I: Experimental investigation at high pressure. Calphad. 74. 102322–102322. 10 indexed citations
10.
Vollmer, Malte, et al.. (2020). Functionally graded structures realized based on Fe–Mn–Al–Ni shape memory alloys. Scripta Materialia. 194. 113619–113619. 12 indexed citations
11.
Kriegel, Mario J., et al.. (2020). Experimental Investigations of the Fe-Mn-Ti System in the Concentration Range of up to 30 at.% Ti. Journal of Phase Equilibria and Diffusion. 41(4). 457–467. 9 indexed citations
12.
Fischer, P., et al.. (2020). Nanoscale twinning in Fe–Mn–Al–Ni martensite: a backscatter Kikuchi diffraction study. Journal of Applied Crystallography. 54(1). 54–61. 12 indexed citations
13.
Kriegel, Mario J., et al.. (2019). The ternary Al–Mo–Ti system revisited: Phase equilibria of Al63(Mo,Ti)37. Journal of Alloys and Compounds. 811. 152055–152055. 8 indexed citations
14.
Ponomareva, Alena V., et al.. (2019). Thermodynamic and physical properties of Zr3Fe and ZrFe2 intermetallic compounds. Intermetallics. 109. 189–196. 15 indexed citations
15.
Kriegel, Mario J., Askar Kilmametov, Martin Rudolph, et al.. (2018). Transformation Pathway upon Heating of Ti–Fe Alloys Deformed by High‐Pressure Torsion. Advanced Engineering Materials. 20(4). 27 indexed citations
16.
Kriegel, Mario J., Olga Fabrichnaya, Matthias Conrad, et al.. (2017). High temperature phase equilibria in the Ti-poor part of the Al–Mo–Ti system. Journal of Alloys and Compounds. 706. 616–628. 7 indexed citations
17.
Kriegel, Mario J., Olga Fabrichnaya, D. Pavlyuchkov, et al.. (2016). High-temperature phase equilibria with the bcc-type β (AlMo) phase in the binary Al–Mo system. Intermetallics. 83. 29–37. 13 indexed citations
18.
Fabrichnaya, Olga, Mario J. Kriegel, G. Savinykh, et al.. (2013). Thermophysical properties of pyrochlore and fluorite phases in the Ln2Zr2O7–Y2O3 systems (Ln=La, Nd, Sm): 1. Pure pyrochlores and phases in the La2Zr2O7–Y2O3 system. Journal of Alloys and Compounds. 586. 118–128. 22 indexed citations
19.
Straumal, Boris B., А. С. Горнакова, Olga Fabrichnaya, et al.. (2012). Effective Temperature of High Pressure Torsion in Zr-Nb Alloys. High Temperature Materials and Processes. 31(4-5). 339–350. 25 indexed citations
20.
Cupid, Damian M., Mario J. Kriegel, Olga Fabrichnaya, Fereshteh Ebrahimi, & Hans J. Seifert. (2011). Thermodynamic assessment of the Cr–Ti and first assessment of the Al–Cr–Ti systems. Intermetallics. 19(8). 1222–1235. 31 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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