Michael S. Albergo
- Nuclear and High Energy Physics top 10%
- Condensed Matter Physics top 10%
- Artificial Intelligence top 10%
- Atomic and Molecular Physics, and Optics
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Phiala E. ShanahanGurtej KanwarDenis BoydaK. CranmerSébastien RacanièreDanilo Jimenez RezendeDaniel C. HackettFernando Romero-López
- Topics
- Theoretical and Computational Physics (5 papers)Markov Chains and Monte Carlo Methods (4 papers)Quantum Chromodynamics and Particle Interactions (4 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Michael S. Albergo
13 papers receiving 443 citations
Peers
Comparison fields: 5 of 52
- Nuclear and High Energy Physics 158
- Condensed Matter Physics 139
- Artificial Intelligence 134
- Atomic and Molecular Physics, and Optics 103
- Statistical and Nonlinear Physics 98
Countries citing papers authored by Michael S. Albergo
This map shows the geographic impact of Michael S. Albergo'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 Michael S. Albergo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Albergo more than expected).
Fields of papers citing papers by Michael S. Albergo
This network shows the impact of papers produced by Michael S. Albergo. 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 Michael S. Albergo. The network helps show where Michael S. Albergo may publish in the future.
Co-authorship network of co-authors of Michael S. Albergo
This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Albergo. A scholar is included among the top collaborators of Michael S. Albergo 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 Michael S. Albergo. Michael S. Albergo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 24 | |
| 7 | 33 | |
| 8 | 64 | |
| 9 | Normalizing Flows on Tori and Spheres | 4 |
| 10 | 114 | |
| 11 | 0 | |
| 12 | 132 | |
| 13 | 31 | |
| 14 | 2 |
About Michael S. Albergo
Michael S. Albergo is a scholar working on Condensed Matter Physics, Statistics and Probability and Nuclear and High Energy Physics, having authored 14 papers that have together received 449 indexed citations. Recurring topics across this work include Theoretical and Computational Physics (5 papers), Markov Chains and Monte Carlo Methods (4 papers) and Quantum Chromodynamics and Particle Interactions (4 papers). The work is most often cited by research in Nuclear and High Energy Physics (158 citations), Condensed Matter Physics (139 citations) and Statistical and Nonlinear Physics (98 citations). Michael S. Albergo has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Phiala E. Shanahan, Gurtej Kanwar, Denis Boyda, K. Cranmer, Sébastien Racanière, Danilo Jimenez Rezende, Daniel C. Hackett, Fernando Romero-López, Julian M. Urban and Roger G. Melko. Their work appears in journals such as Physical Review Letters, Nature Communications and Physical review. 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.