Markus Wallerberger

1.1k total citations
29 papers, 693 citations indexed

About

Markus Wallerberger is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Markus Wallerberger has authored 29 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Condensed Matter Physics, 19 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Markus Wallerberger's work include Physics of Superconductivity and Magnetism (17 papers), Quantum and electron transport phenomena (13 papers) and Advanced Condensed Matter Physics (11 papers). Markus Wallerberger is often cited by papers focused on Physics of Superconductivity and Magnetism (17 papers), Quantum and electron transport phenomena (13 papers) and Advanced Condensed Matter Physics (11 papers). Markus Wallerberger collaborates with scholars based in Austria, Germany and United States. Markus Wallerberger's co-authors include Karsten Held, Giorgio Sangiovanni, Emanuel Gull, Patrik Gunacker, Hiroshi Shinaoka, Andreas Hausoel, N. Parragh, A. Toschi, Florian Goth and Chia-Nan Yeh and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical Review B.

In The Last Decade

Markus Wallerberger

27 papers receiving 692 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 Wallerberger Austria 16 503 347 244 114 50 29 693
Junya Otsuki Japan 19 741 1.5× 457 1.3× 330 1.4× 67 0.6× 34 0.7× 51 955
Sergei Iskakov United States 14 322 0.6× 340 1.0× 119 0.5× 80 0.7× 36 0.7× 33 539
Claudius Hubig Germany 13 443 0.9× 518 1.5× 130 0.5× 27 0.2× 17 0.3× 18 691
G. Rohringer Austria 21 1.5k 3.0× 1.2k 3.4× 493 2.0× 94 0.8× 24 0.5× 29 1.7k
Cătălin Paşcu Moca Romania 19 481 1.0× 1.1k 3.0× 107 0.4× 184 1.6× 187 3.7× 96 1.2k
Bin-Bin Chen China 17 359 0.7× 410 1.2× 91 0.4× 60 0.5× 18 0.4× 28 579
Louk Rademaker Switzerland 15 421 0.8× 652 1.9× 191 0.8× 379 3.3× 70 1.4× 36 939
Ilya Esterlis United States 13 386 0.8× 319 0.9× 163 0.7× 103 0.9× 27 0.5× 27 575
Pierre Pujol France 17 964 1.9× 807 2.3× 198 0.8× 78 0.7× 14 0.3× 60 1.2k
Rodrigo G. Pereira Brazil 20 1.1k 2.2× 1.2k 3.6× 325 1.3× 134 1.2× 91 1.8× 72 1.7k

Countries citing papers authored by Markus Wallerberger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wallerberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Wallerberger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Wallerberger. A scholar is included among the top collaborators of Markus Wallerberger 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 Wallerberger. Markus Wallerberger 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.
Krivenko, Igor, Francesco Petocchi, Markus Wallerberger, et al.. (2025). Codebase release 5.3 for EDIpack. CINECA IRIS Institutial research information system (University of Pisa). 1 indexed citations
2.
3.
Lee, Seung‐Sup B., Fabian B. Kugler, Sebastian D. Huber, et al.. (2024). Overcomplete intermediate representation of two-particle Green's functions and its relation to partial spectral functions. Physical Review Research. 6(4). 3 indexed citations
4.
Wallerberger, Markus, et al.. (2024). Quantics Tensor Cross Interpolation for High-Resolution Parsimonious Representations of Multivariate Functions. Physical Review Letters. 132(5). 56501–56501. 29 indexed citations
5.
Shinaoka, Hiroshi, et al.. (2023). Multiscale Space-Time Ansatz for Correlation Functions of Quantum Systems Based on Quantics Tensor Trains. Physical Review X. 13(2). 26 indexed citations
6.
Si, Liang, Markus Wallerberger, Andriy Smolyanyuk, et al.. (2023). Pb10−x Cu x (PO4)6O: a Mott or charge transfer insulator in need of further doping for (super)conductivity. Journal of Physics Condensed Matter. 36(6). 65601–65601. 16 indexed citations
7.
Wallerberger, Markus, et al.. (2022). Photoexcitations in the Hubbard model: Generalized Loschmidt amplitude analysis of impact ionization in small clusters. Physical review. B.. 106(8). 4 indexed citations
8.
Shinaoka, Hiroshi, Emanuel Gull, Jia Li, et al.. (2022). Efficient ab initio many-body calculations based on sparse modeling of Matsubara Green's function. SHILAP Revista de lepidopterología. 22 indexed citations
9.
Wallerberger, Markus, et al.. (2020). Statistical error estimates in dynamical mean-field theory and extensions thereof. Physical review. B.. 102(8). 4 indexed citations
10.
Shinaoka, Hiroshi, Markus Wallerberger, Junya Otsuki, et al.. (2020). Sparse sampling and tensor network representation of two-particle Green's functions. SciPost Physics. 8(1). 20 indexed citations
11.
Wallerberger, Markus, et al.. (2020). Diagrammatic Monte Carlo method for impurity models with general interactions and hybridizations. Physical Review Research. 2(3). 12 indexed citations
12.
Hausoel, Andreas, et al.. (2019). State and superstate sampling in hybridization-expansion continuous-time quantum Monte Carlo. Physical review. B.. 99(15). 15 indexed citations
13.
Shinaoka, Hiroshi, Junya Otsuki, Kristjan Haule, et al.. (2018). Overcomplete compact representation of two-particle Green's functions. Physical review. B.. 97(20). 29 indexed citations
14.
Wallerberger, Markus & Emanuel Gull. (2017). Hypothesis testing of scientific Monte Carlo calculations. Physical review. E. 96(5). 53303–53303. 2 indexed citations
15.
Wallerberger, Markus, et al.. (2017). Mott-Hubbard transition in the mass-imbalanced Hubbard model. The European Physical Journal B. 90(6). 7 indexed citations
16.
Gunacker, Patrik, Sergei Iskakov, Markus Wallerberger, et al.. (2017). Role of three-particle vertex within dual fermion calculations. Physical review. B.. 96(23). 21 indexed citations
17.
Gunacker, Patrik, et al.. (2016). Worm-improved estimators in continuous-time quantum Monte Carlo. Physical review. B.. 94(12). 40 indexed citations
18.
Zhong, Zhicheng, Markus Wallerberger, Jan M. Tomczak, et al.. (2015). Electronics with Correlated Oxides:SrVO3/SrTiO3as a Mott Transistor. Physical Review Letters. 114(24). 246401–246401. 67 indexed citations
19.
Taranto, Ciro, Markus Wallerberger, Merzuk Kaltak, et al.. (2015). Screened moments and absence of ferromagnetism in FeAl. Physical Review B. 92(20). 24 indexed citations
20.
Gunacker, Patrik, Markus Wallerberger, Emanuel Gull, et al.. (2015). Continuous-time quantum Monte Carlo using worm sampling. Physical Review B. 92(15). 42 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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