Markus Eisenbach

1.8k total citations
67 papers, 1.1k citations indexed

About

Markus Eisenbach is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Markus Eisenbach has authored 67 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Atomic and Molecular Physics, and Optics, 30 papers in Condensed Matter Physics and 24 papers in Materials Chemistry. Recurrent topics in Markus Eisenbach's work include Magnetic properties of thin films (20 papers), Theoretical and Computational Physics (19 papers) and Magnetic Properties and Applications (12 papers). Markus Eisenbach is often cited by papers focused on Magnetic properties of thin films (20 papers), Theoretical and Computational Physics (19 papers) and Magnetic Properties and Applications (12 papers). Markus Eisenbach collaborates with scholars based in United States, United Kingdom and Germany. Markus Eisenbach's co-authors include G. M. Stocks, Xianglin Liu, Junqi Yin, Valentino R. Cooper, Zongrui Pei, Don M. Nicholson, Jiaxin Zhang, Mao‐Hua Du, G. Brown and Jiaqiang Yan and has published in prestigious journals such as Nature, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

Markus Eisenbach

65 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
Markus Eisenbach United States 18 490 327 288 237 181 67 1.1k
T. Banerjee Netherlands 15 592 1.2× 464 1.4× 60 0.2× 219 0.9× 292 1.6× 79 1.4k
Fumihiko Uesugi Japan 16 350 0.7× 328 1.0× 85 0.3× 76 0.3× 85 0.5× 73 918
Andréy Sokolov Germany 16 346 0.7× 177 0.5× 52 0.2× 75 0.3× 117 0.6× 85 935
E. Puppin Italy 17 237 0.5× 657 2.0× 148 0.5× 287 1.2× 411 2.3× 87 1.1k
Dong‐Hyun Kim South Korea 18 460 0.9× 983 3.0× 93 0.3× 546 2.3× 869 4.8× 130 1.6k
Chiharu Mitsumata Japan 17 233 0.5× 600 1.8× 81 0.3× 256 1.1× 605 3.3× 82 955
Ralu Divan United States 23 448 0.9× 885 2.7× 53 0.2× 173 0.7× 218 1.2× 114 1.8k
Rajinder P. Khosla United States 13 404 0.8× 392 1.2× 33 0.1× 93 0.4× 134 0.7× 155 1.0k
Hideo Itozaki Japan 14 228 0.5× 287 0.9× 51 0.2× 314 1.3× 118 0.7× 108 707
Sebastian Schramm Germany 16 311 0.6× 161 0.5× 29 0.1× 127 0.5× 215 1.2× 39 803

Countries citing papers authored by Markus Eisenbach

Since Specialization
Citations

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

Fields of papers citing papers by Markus Eisenbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Eisenbach

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Eisenbach. A scholar is included among the top collaborators of Markus Eisenbach 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 Eisenbach. Markus Eisenbach 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.
Eisenbach, Markus, et al.. (2025). Strain engineering of doped hydrogen passivated silicon quantum dots. Scientific Reports. 15(1). 19909–19909.
2.
Eisenbach, Markus, et al.. (2024). Transferring predictions of formation energy across lattices of increasing size*. Machine Learning Science and Technology. 5(2). 25015–25015. 1 indexed citations
3.
Beck, Thomas L., Alessandro Baroni, Ryan S. Bennink, et al.. (2024). Integrating quantum computing resources into scientific HPC ecosystems. Future Generation Computer Systems. 161. 11–25. 16 indexed citations
4.
Samolyuk, German, et al.. (2024). First-principles data for solid solution niobium-tantalum-vanadium alloys with body-centered-cubic structures. Scientific Data. 11(1). 907–907. 2 indexed citations
5.
Pei, Zongrui, Markus Eisenbach, Peter K. Liaw, & Mingwei Chen. (2023). Nanoscale fluctuation of stacking fault energy strengthens multi-principal element alloys. Journal of Material Science and Technology. 158. 218–225. 5 indexed citations
6.
Anand, G., et al.. (2023). Order Parameter Engineering for Random Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1(2). 271–284. 5 indexed citations
7.
Pitike, Krishna Chaitanya, et al.. (2022). Computationally Accelerated Discovery of High Entropy Pyrochlore Oxides. Chemistry of Materials. 34(4). 1459–1472. 28 indexed citations
8.
Dobrosavljević, V., Ka-Ming Tam, Hanna Terletska, et al.. (2022). Ab initio Approaches to High Entropy Alloys: A Comparison of CPA, SQS, and Supercell Methods. arXiv (Cornell University). 13 indexed citations
9.
Tam, Ka-Ming, Yi Zhang, Hanna Terletska, et al.. (2021). Application of the locally self-consistent embedding approach to the Anderson model with non-uniform random distributions. Annals of Physics. 435. 168480–168480. 2 indexed citations
10.
Du, Mao‐Hua, Jiaqiang Yan, Valentino R. Cooper, & Markus Eisenbach. (2020). Tuning Fermi Levels in Intrinsic Antiferromagnetic Topological Insulators MnBi2Te4 and MnBi4Te7 by Defect Engineering and Chemical Doping. Advanced Functional Materials. 31(3). 75 indexed citations
11.
Eisenbach, Markus, Zongrui Pei, & Xianglin Liu. (2019). First-principles study of order-disorder transitions in multicomponent solid-solution alloys*. Journal of Physics Condensed Matter. 31(27). 273002–273002. 14 indexed citations
12.
Xie, Qingge, Zongrui Pei, Juhua Liang, et al.. (2018). Transition from the twinning induced plasticity to the γ-ε transformation induced plasticity in a high manganese steel. Acta Materialia. 161. 273–284. 24 indexed citations
13.
Yang, Yongsoo, Chien-Chun Chen, Mary Scott, et al.. (2017). Deciphering chemical order/disorder and material properties at the single-atom level. Nature. 542(7639). 75–79. 227 indexed citations
14.
Yuk, Simuck F., Krishna Chaitanya Pitike, Serge Nakhmanson, et al.. (2017). Towards an accurate description of perovskite ferroelectrics: exchange and correlation effects. Scientific Reports. 7(1). 43482–43482. 69 indexed citations
15.
Eisenbach, Markus, Junqi Yin, Don M. Nicholson, & Ying Wai Li. (2013). First principles calculation of finite temperature magnetism in Ni. Bulletin of the American Physical Society. 2013. 1 indexed citations
16.
Odbadrakh, Khorgolkhuu, et al.. (2011). Fist Principles Approach to the Magneto Caloric Effect: Application to Ni$_2$MnGa. Bulletin of the American Physical Society. 2011. 2 indexed citations
17.
Eisenbach, Markus, G. M. Stocks, Don M. Nicholson, & T. C. Schulthess. (2009). Thermodynamics of magnetic systems from first principles: gWL-LSMS. Bulletin of the American Physical Society. 1 indexed citations
18.
Álvarez, Gonzalo, Don Maxwell, Markus Eisenbach, et al.. (2008). New algorithm to enable 400+ TFlop/s sustained performance in simulations of disorder effects in high-T c superconductors. IEEE International Conference on High Performance Computing, Data, and Analytics. 61. 11 indexed citations
19.
Wang, Yang, et al.. (2006). Teraflop Computing for Nanoscience. 265–271. 1 indexed citations
20.
Zeng, Changgan, Paul R. C. Kent, M. Varela, et al.. (2006). Epitaxial Stabilization of Ferromagnetism in the Nanophase of FeGe. Physical Review Letters. 96(12). 127201–127201. 17 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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