Martin Weigel

1.3k total citations
84 papers, 857 citations indexed

About

Martin Weigel is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics and Mathematical Physics. According to data from OpenAlex, Martin Weigel has authored 84 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Condensed Matter Physics, 38 papers in Statistical and Nonlinear Physics and 27 papers in Mathematical Physics. Recurrent topics in Martin Weigel's work include Theoretical and Computational Physics (67 papers), Complex Network Analysis Techniques (31 papers) and Stochastic processes and statistical mechanics (27 papers). Martin Weigel is often cited by papers focused on Theoretical and Computational Physics (67 papers), Complex Network Analysis Techniques (31 papers) and Stochastic processes and statistical mechanics (27 papers). Martin Weigel collaborates with scholars based in Germany, United Kingdom and United States. Martin Weigel's co-authors include Wolfhard Janke, Lev Barash, Bertrand Berche, Ralph Kenna, Lev Shchur, Nikolaos G. Fytas, T. Yavors’kii, Alexander K. Hartmann, Johannes Zierenberg and Michel J. P. Gingras and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physical review. B, Condensed matter.

In The Last Decade

Martin Weigel

80 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Weigel Germany 17 617 333 241 152 122 84 857
Vladimir Dotsenko Russia 18 530 0.9× 256 0.8× 371 1.5× 188 1.2× 115 0.9× 74 1.2k
Lev Shchur Russia 15 385 0.6× 275 0.8× 216 0.9× 122 0.8× 112 0.9× 86 808
Tommaso Rizzo Italy 16 548 0.9× 238 0.7× 121 0.5× 99 0.7× 294 2.4× 60 711
Cristian Giardinà Italy 15 440 0.7× 601 1.8× 395 1.6× 194 1.3× 216 1.8× 57 1.1k
Jae Dong Noh South Korea 23 481 0.8× 964 2.9× 224 0.9× 251 1.7× 89 0.7× 78 1.3k
Jan Wehr United States 19 830 1.3× 539 1.6× 381 1.6× 584 3.8× 175 1.4× 50 1.5k
C.F. Baillie United States 14 709 1.1× 206 0.6× 228 0.9× 321 2.1× 114 0.9× 68 1.0k
Aernout C. D. van Enter Netherlands 19 963 1.6× 365 1.1× 671 2.8× 195 1.3× 207 1.7× 76 1.2k
Roberto Fernández Netherlands 15 505 0.8× 228 0.7× 487 2.0× 158 1.0× 35 0.3× 36 901
Anders Martin‐Löf Sweden 20 327 0.5× 425 1.3× 481 2.0× 129 0.8× 87 0.7× 42 1.2k

Countries citing papers authored by Martin Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Martin Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Weigel

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Weigel. A scholar is included among the top collaborators of Martin Weigel 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 Martin Weigel. Martin Weigel 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.
Weigel, Martin, et al.. (2024). Partition Function Zeros of the Frustrated J1–J2 Ising Model on the Honeycomb Lattice. Entropy. 26(11). 919–919. 1 indexed citations
2.
Ortíz, Gerardo, et al.. (2024). Universal Fragility of Spin Glass Ground States under Single Bond Changes. Physical Review Letters. 132(24). 247101–247101. 2 indexed citations
3.
Plascak, J. A., et al.. (2024). Universal energy and magnetisation distributions in the Blume–Capel and Baxter–Wu models. Journal of Statistical Mechanics Theory and Experiment. 2024(10). 103204–103204. 3 indexed citations
4.
Plascak, J. A., et al.. (2023). Two-dimensional dilute Baxter-Wu model: Transition order and universality. Physical review. E. 108(2). 24140–24140. 4 indexed citations
5.
Weigel, Martin, et al.. (2023). Cluster percolation in the two-dimensional Ising spin glass. Physical review. E. 107(5). 54103–54103. 5 indexed citations
6.
Weigel, Martin, et al.. (2022). Simulating Met-Enkephalin With Population Annealing Molecular Dynamics. Journal of Physics Conference Series. 2241(1). 12006–12006. 1 indexed citations
7.
Weigel, Martin, et al.. (2022). Weighted averages in population annealing: Analysis and general framework. Physical review. E. 106(4). 45303–45303. 4 indexed citations
8.
Weigel, Martin, Lev Barash, Lev Shchur, & Wolfhard Janke. (2021). Understanding population annealing Monte Carlo simulations. Physical review. E. 103(5). 53301–53301. 22 indexed citations
9.
Gelbrich, Nadine, Matthias B. Stope, Sander Bekeschus, et al.. (2020). BK virus‐induced nephritis and cystitis after matched unrelated donor stem cell transplantation: A case report. SHILAP Revista de lepidopterología. 8(12). 2838–2841. 2 indexed citations
10.
Schneidewind, Laila, Thomas Neumann, Kathrin Zimmermann, et al.. (2019). Is BK Virus-Associated Cystitis a Generalized Epithelial Disease?. Acta Haematologica. 141(2). 65–67. 3 indexed citations
11.
Barash, Lev, et al.. (2017). GPU accelerated population annealing algorithm. Computer Physics Communications. 220. 341–350. 39 indexed citations
12.
Weigel, Martin, et al.. (2017). Cluster Monte Carlo and dynamical scaling for long-range interactions. The European Physical Journal Special Topics. 226(4). 581–594. 12 indexed citations
13.
Barash, Lev, Martin Weigel, Lev Shchur, & Wolfhard Janke. (2017). Exploring first-order phase transitions with population annealing. The European Physical Journal Special Topics. 226(4). 595–604. 10 indexed citations
14.
Holovatch, Yurij, et al.. (2017). Self-averaging in the random two-dimensional Ising ferromagnet. Physical review. E. 95(3). 32118–32118. 4 indexed citations
15.
Weigel, Martin, et al.. (2014). Impact of physicians’ attitude to vaccination on local vaccination coverage for pertussis and measles in Germany. European Journal of Public Health. 24(6). 1009–1016. 16 indexed citations
16.
Weigel, Martin, et al.. (2014). Immunization Rates at the School Entry in 2012. Deutsches Ärzteblatt international. 111(46). 788–94. 8 indexed citations
17.
Weigel, Martin, et al.. (2013). Efficient simulation of the random-cluster model. Physical Review E. 88(3). 33303–33303. 9 indexed citations
18.
Schilling, R., et al.. (2011). Regular Packings on Periodic Lattices. Physical Review Letters. 107(21). 215503–215503. 2 indexed citations
19.
Janke, Wolfhard & Martin Weigel. (2003). Effects of Connectivity Disorder on the Potts Model. Acta Physica Polonica B. 34(10). 4891–4908. 3 indexed citations
20.
Weigel, Martin, Wolfhard Janke, & Chin‐Kun Hu. (2002). Random-cluster multihistogram sampling for theq-state Potts model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 65(3). 36109–36109. 6 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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