Matthias Löwe

1.2k total citations
74 papers, 716 citations indexed

About

Matthias Löwe is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Matthias Löwe has authored 74 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Condensed Matter Physics, 21 papers in Mathematical Physics and 21 papers in Statistics and Probability. Recurrent topics in Matthias Löwe's work include Theoretical and Computational Physics (22 papers), Stochastic processes and statistical mechanics (17 papers) and Neural Networks and Applications (12 papers). Matthias Löwe is often cited by papers focused on Theoretical and Computational Physics (22 papers), Stochastic processes and statistical mechanics (17 papers) and Neural Networks and Applications (12 papers). Matthias Löwe collaborates with scholars based in Germany, France and Netherlands. Matthias Löwe's co-authors include Fabian Hemmert, Gesche Joost, Mario V. Wüthrich, Peter Eichelsbacher, Franck Vermet, Anton Bovier, Irina Kurkova, Franz Merkl, Heinrich Matzinger and D. J. Wallace and has published in prestigious journals such as Physical review. B, Condensed matter, IEEE Transactions on Information Theory and Physics Letters B.

In The Last Decade

Matthias Löwe

70 papers receiving 678 citations

Peers

Matthias Löwe
Comparison fields: 5 of 83
  • Human-Computer Interaction 183
  • Statistics and Probability 160
  • Mathematical Physics 147
  • Cognitive Neuroscience 146
  • Finance 132
Mark C. Wilson New Zealand
Ján Andres Czechia
Robert Ellis United States
Stefan Heinrich Germany
Herbert A. Meyer Germany
Sung Nok Chiu Hong Kong
Philippe Martin France
Servet Martı́nez Chile
Marcus Pivato Canada
Yu. M. Suhov Russia
Mark C. Wilson New Zealand View profile →
Citations per field, relative to Matthias Löwe
Matthias Löwe · 1×
Citations per year, relative to Matthias Löwe
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Countries citing papers authored by Matthias Löwe

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Löwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Löwe

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Löwe. A scholar is included among the top collaborators of Matthias Löwe 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 Matthias Löwe. Matthias Löwe 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
# Work Indexed citations
1 0
2 2
3 1
4 6
5 9
6 4
7
Large deviations principle for random field Curie-Weiss models
1
8 1
9 0
10 2
11 3
12 18
13 1
14 1
15 15
16
Moderate deviations for longest increasing subsequences : the lower tail
2
17
Reconstruction of sceneries with correlated colors
1
18 5
19 10
20 11

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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