Franz Merkl
- Mathematical Physics top 5%
- Statistics and Probability top 5%
- Condensed Matter Physics
- Artificial Intelligence
- Computational Theory and Mathematics
- Co-authors
- Silke W. W. RollesMatthias LöweMartin ZernerHerbert WagnerMario V. WüthrichHeinrich MatzingerMargherita DisertoriBas Edixhoven
- Topics
- Stochastic processes and statistical mechanics (16 papers)Markov Chains and Monte Carlo Methods (11 papers)Theoretical and Computational Physics (7 papers)
- Journals
- The Annals of StatisticsCommunications in Mathematical PhysicsCommunications on Pure and Applied Mathematics
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Franz Merkl
24 papers receiving 188 citations
Peers
Comparison fields: 5 of 34
- Mathematical Physics 149
- Statistics and Probability 110
- Condensed Matter Physics 39
- Artificial Intelligence 27
- Computational Theory and Mathematics 24
Countries citing papers authored by Franz Merkl
This map shows the geographic impact of Franz Merkl'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 Franz Merkl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franz Merkl more than expected).
Fields of papers citing papers by Franz Merkl
This network shows the impact of papers produced by Franz Merkl. 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 Franz Merkl. The network helps show where Franz Merkl may publish in the future.
Co-authorship network of co-authors of Franz Merkl
This figure shows the co-authorship network connecting the top 25 collaborators of Franz Merkl. A scholar is included among the top collaborators of Franz Merkl 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 Franz Merkl. Franz Merkl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 0 | |
| 12 | Bounding a Random Environment for Two-dimensional Edge-reinforced Random Walk | 5 |
| 13 | On the computation of coefficients of a modular form | 3 |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 27 | |
| 17 | 4 | |
| 18 | 20 | |
| 19 | Moderate deviations for longest increasing subsequences : the lower tail | 2 |
| 20 | 20 |
About Franz Merkl
Franz Merkl is a scholar working on Statistics and Probability, Mathematical Physics and Condensed Matter Physics, having authored 29 papers that have together received 200 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (16 papers), Markov Chains and Monte Carlo Methods (11 papers) and Theoretical and Computational Physics (7 papers). The work is most often cited by research in Mathematical Physics (149 citations), Statistics and Probability (110 citations) and Condensed Matter Physics (39 citations). Franz Merkl has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Silke W. W. Rolles, Matthias Löwe, Martin Zerner, Herbert Wagner, Mario V. Wüthrich, Heinrich Matzinger, Margherita Disertori, Bas Edixhoven, Peter Eichelsbacher and Jean-Marc Couveignes. Their work appears in journals such as The Annals of Statistics, Communications in Mathematical Physics and Communications on Pure and Applied Mathematics.
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.