Markus Kühbach

604 total citations
21 papers, 299 citations indexed

About

Markus Kühbach is a scholar working on Materials Chemistry, Biomedical Engineering and Metals and Alloys. According to data from OpenAlex, Markus Kühbach has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 10 papers in Biomedical Engineering and 9 papers in Metals and Alloys. Recurrent topics in Markus Kühbach's work include Advanced Materials Characterization Techniques (10 papers), Hydrogen embrittlement and corrosion behaviors in metals (9 papers) and Metallurgy and Material Forming (7 papers). Markus Kühbach is often cited by papers focused on Advanced Materials Characterization Techniques (10 papers), Hydrogen embrittlement and corrosion behaviors in metals (9 papers) and Metallurgy and Material Forming (7 papers). Markus Kühbach collaborates with scholars based in Germany, United Kingdom and United States. Markus Kühbach's co-authors include Luis A. Barrales‐Mora, Günter Gottstein, Franz Roters, Su Leen Wong, Christian Haase, Dmitri A. Molodov, Baptiste Gault, Marat I. Latypov, Jean‐Charles Stinville and László S. Tóth and has published in prestigious journals such as PLoS ONE, Acta Materialia and Progress in Materials Science.

In The Last Decade

Markus Kühbach

20 papers receiving 295 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Kühbach Germany 8 199 169 119 59 52 21 299
Vasisht Venkatesh United States 10 182 0.9× 205 1.2× 86 0.7× 31 0.5× 20 0.4× 17 299
P.M. Gullett United States 8 329 1.7× 213 1.3× 185 1.6× 30 0.5× 62 1.2× 8 423
Y. Aoyagi Japan 12 339 1.7× 316 1.9× 214 1.8× 20 0.3× 53 1.0× 48 432
Wei Peng China 12 218 1.1× 158 0.9× 229 1.9× 31 0.5× 30 0.6× 49 414
Charles J. Kuehmann United States 4 202 1.0× 302 1.8× 39 0.3× 92 1.6× 27 0.5× 6 396
Aurélien Villani France 9 231 1.2× 161 1.0× 130 1.1× 20 0.3× 36 0.7× 14 317
Steven J. Polasik United States 5 293 1.5× 289 1.7× 147 1.2× 21 0.4× 25 0.5× 16 413
Puchang Cui China 7 140 0.7× 248 1.5× 59 0.5× 21 0.4× 19 0.4× 13 343
Sachin L. Shrestha Australia 8 203 1.0× 206 1.2× 60 0.5× 129 2.2× 104 2.0× 11 325
Jérémie Bouquerel France 12 375 1.9× 485 2.9× 234 2.0× 15 0.3× 110 2.1× 36 595

Countries citing papers authored by Markus Kühbach

Since Specialization
Citations

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

Fields of papers citing papers by Markus Kühbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Kühbach

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kühbach. A scholar is included among the top collaborators of Markus Kühbach 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 Markus Kühbach. Markus Kühbach 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.
Li, Yue, et al.. (2025). Machine learning enhanced atom probe tomography analysis. Progress in Materials Science. 156. 101561–101561. 1 indexed citations
2.
Kühbach, Markus, et al.. (2024). Analyzing Linear Features in Atom Probe Tomography Datasets using Skeletonization. Microscopy and Microanalysis. 30(Supplement_1). 1 indexed citations
3.
Hatzoglou, Constantinos, G. Da Costa, B. Geiser, et al.. (2023). Mesoscopic modeling of field evaporation on atom probe tomography. Journal of Physics D Applied Physics. 56(37). 375301–375301. 5 indexed citations
4.
Zhou, Xuyang, Ye Wei, Markus Kühbach, et al.. (2022). Revealing in-plane grain boundary composition features through machine learning from atom probe tomography data. Acta Materialia. 226. 117633–117633. 23 indexed citations
5.
Kühbach, Markus, Markus Scheidgen, Lauri Himanen, et al.. (2022). Development of a FAIR Data Management Infrastructure. Microscopy and Microanalysis. 28(S1). 2930–2932.
6.
Kühbach, Markus, Matthew Kasemer, Baptiste Gault, & Andrew Breen. (2021). Open and strong-scaling tools for atom-probe crystallography: high-throughput methods for indexing crystal structure and orientation. Journal of Applied Crystallography. 54(5). 1490–1508. 2 indexed citations
7.
Kühbach, Markus, et al.. (2021). On strong-scaling and open-source tools for analyzing atom probe tomography data. npj Computational Materials. 7(1). 13 indexed citations
8.
Kühbach, Markus, Andrew London, Jing Wang, et al.. (2021). Community-Driven Methods for Open and Reproducible Software Tools for Analyzing Datasets from Atom Probe Microscopy. Microscopy and Microanalysis. 28(4). 1038–1053. 6 indexed citations
9.
Wei, Ye, Zirong Peng, Markus Kühbach, et al.. (2019). 3D nanostructural characterisation of grain boundaries in atom probe data utilising machine learning methods. PLoS ONE. 14(11). e0225041–e0225041. 14 indexed citations
10.
Kühbach, Markus, Andrew Breen, Michael Herbig, & Baptiste Gault. (2019). Building a Library of Simulated Atom Probe Data for Different Crystal Structures and Tip Orientations Using TAPSim. Microscopy and Microanalysis. 25(2). 320–330. 5 indexed citations
11.
Kühbach, Markus, Priyanshu Bajaj, Andrew Breen, Eric A. Jägle, & Baptiste Gault. (2019). On Strong Scaling Open Source Tools for Mining Atom Probe Tomography Data. Microscopy and Microanalysis. 25(S2). 298–299. 2 indexed citations
12.
Diehl, Martin & Markus Kühbach. (2019). Coupled experimental-computational analysis of primary static recrystallization in low carbon steel. Modelling and Simulation in Materials Science and Engineering. 28(1). 14001–14001. 5 indexed citations
13.
Kamachali, Reza Darvishi, et al.. (2018). Computationally Efficient Phase-field Simulation Studies Using RVE Sampling and Statistical Analysis. Computational Materials Science. 147. 204–216. 17 indexed citations
14.
Imran, Muhammad�, Markus Kühbach, Franz Roters, & Markus Bambach�. (2017). Development of a Model for Dynamic Recrystallization Consistent with the Second Derivative Criterion. Materials. 10(11). 1259–1259. 5 indexed citations
15.
Kühbach, Markus. (2017). Effiziente Modellierung der Mikrostrukturstrukturentwicklung während der Rekristallisation mittels Parallelisierung. RWTH Publications (RWTH Aachen). 1 indexed citations
16.
Kühbach, Markus, Günter Gottstein, & Luis A. Barrales‐Mora. (2016). A statistical ensemble cellular automaton microstructure model for primary recrystallization. Acta Materialia. 107. 366–376. 30 indexed citations
17.
Kühbach, Markus, et al.. (2015). Ultrafast analysis of individual grain behavior during grain growth by parallel computing. IOP Conference Series Materials Science and Engineering. 89. 12031–12031. 2 indexed citations
18.
Haase, Christian, Markus Kühbach, Luis A. Barrales‐Mora, et al.. (2015). Recrystallization behavior of a high-manganese steel: Experiments and simulations. Acta Materialia. 100. 155–168. 100 indexed citations
19.
Kühbach, Markus, Luis A. Barrales‐Mora, & Günter Gottstein. (2014). A massively parallel cellular automaton for the simulation of recrystallization. Modelling and Simulation in Materials Science and Engineering. 22(7). 75016–75016. 17 indexed citations
20.
Kühbach, Markus, et al.. (2014). On a Fast and Accurate In Situ Measuring Strategy for Recrystallization Kinetics and Its Application to an Al-Fe-Si Alloy. Metallurgical and Materials Transactions A. 46(3). 1337–1348. 1 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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