Marco Merkli
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 5%
- Mathematical Physics top 10%
- Computational Theory and Mathematics
- Co-authors
- Israel Michael SigalG. P. BermanAlain JoyeJürg FröhlichJames D. CresserJanet AndersА. С. ТрушечкинStephan De Bièvre
- Topics
- Quantum Information and Cryptography (16 papers)Advanced Thermodynamics and Statistical Mechanics (15 papers)Spectroscopy and Quantum Chemical Studies (12 papers)
- Cited by
- Statistical and Nonlinear PhysicsAtomic and Molecular Physics, and OpticsMathematical Physics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry C
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Marco Merkli
43 papers receiving 643 citations
Peers
Comparison fields: 5 of 39
- Atomic and Molecular Physics, and Optics 559
- Statistical and Nonlinear Physics 366
- Artificial Intelligence 310
- Mathematical Physics 90
- Computational Theory and Mathematics 32
Countries citing papers authored by Marco Merkli
This map shows the geographic impact of Marco Merkli'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 Marco Merkli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Merkli more than expected).
Fields of papers citing papers by Marco Merkli
This network shows the impact of papers produced by Marco Merkli. 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 Marco Merkli. The network helps show where Marco Merkli may publish in the future.
Co-authorship network of co-authors of Marco Merkli
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Merkli. A scholar is included among the top collaborators of Marco Merkli 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 Marco Merkli. Marco Merkli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 17 | |
| 9 | A Note on Universality of Gaussian Analytic Functions on Symmetric Spaces | 1 |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 30 | |
| 13 | 14 | |
| 14 | 29 | |
| 15 | 11 | |
| 16 | 20 | |
| 17 | 18 | |
| 18 | 28 | |
| 19 | 36 | |
| 20 | 32 |
About Marco Merkli
Marco Merkli is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics and Atomic and Molecular Physics, and Optics, having authored 45 papers that have together received 666 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Advanced Thermodynamics and Statistical Mechanics (15 papers) and Spectroscopy and Quantum Chemical Studies (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (366 citations), Atomic and Molecular Physics, and Optics (559 citations) and Mathematical Physics (90 citations). Marco Merkli has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Israel Michael Sigal, G. P. Berman, Alain Joye, Jürg Fröhlich, James D. Cresser, Janet Anders, А. С. Трушечкин, Stephan De Bièvre, F. Borgonovi and Daniel Ueltschi. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry C.
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.