Gernot Akemann
- Statistics and Probability top 0.5%
- Mathematical Physics top 1%
- Statistical and Nonlinear Physics top 1%
- Nuclear and High Energy Physics top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Jinho BaikPhilippe Di FrancescoP.H. DamgaardMario KieburgJ. R. IpsenGraziano VernizziShinsuke M. NishigakiU. Magnea
- Topics
- Random Matrices and Applications (58 papers)Quantum chaos and dynamical systems (30 papers)Quantum Chromodynamics and Particle Interactions (23 papers)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Gernot Akemann
79 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Statistics and Probability 970
- Mathematical Physics 665
- Statistical and Nonlinear Physics 597
- Nuclear and High Energy Physics 567
- Atomic and Molecular Physics, and Optics 356
Countries citing papers authored by Gernot Akemann
This map shows the geographic impact of Gernot Akemann'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 Gernot Akemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gernot Akemann more than expected).
Fields of papers citing papers by Gernot Akemann
This network shows the impact of papers produced by Gernot Akemann. 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 Gernot Akemann. The network helps show where Gernot Akemann may publish in the future.
Co-authorship network of co-authors of Gernot Akemann
This figure shows the co-authorship network connecting the top 25 collaborators of Gernot Akemann. A scholar is included among the top collaborators of Gernot Akemann 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 Gernot Akemann. Gernot Akemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 15 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 84 | |
| 9 | 10 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | 94 | |
| 13 | Individual complex Dirac eigenvalue distributions from random matrix theory and lattice QCD at nonzero chemical potential | 3 |
| 14 | 12 | |
| 15 | 18 | |
| 16 | Density profiles of small Dirac operator eigenvalues for two color QCD at nonzero chemical potential compared to matrix models | 2 |
| 17 | 27 | |
| 18 | Comment on the article cond-mat/0209594 by K. Splittorff and J.J.M. Verbaarschot | 1 |
| 19 | 23 | |
| 20 | 23 |
About Gernot Akemann
Gernot Akemann is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Random Matrices and Applications (58 papers), Quantum chaos and dynamical systems (30 papers) and Quantum Chromodynamics and Particle Interactions (23 papers). The work is most often cited by research in Statistics and Probability (970 citations), Discrete Mathematics and Combinatorics (323 citations) and Mathematical Physics (665 citations). Gernot Akemann has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Jinho Baik, Philippe Di Francesco, P.H. Damgaard, Mario Kieburg, J. R. Ipsen, Graziano Vernizzi, Shinsuke M. Nishigaki, U. Magnea, K. Splittorff and Eugene Kanzieper. Their work appears in journals such as Physical Review Letters, Nuclear Physics B and Physics Letters B.
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.