Michael Nussbaum
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Finance top 10%
- Applied Mathematics top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- David L. DonohoIon GramaPeter HallArleta SzkołaSteven SternA. P. KorostelevGrigori N. MilsteinHarrison H. Zhou
- Topics
- Statistical Methods and Inference (11 papers)Quantum Mechanics and Applications (4 papers)Quantum Information and Cryptography (4 papers)
- Journals
- The Annals of StatisticsProbability Theory and Related FieldsJournal of Multivariate Analysis
- Partner nations
- GermanyUnited StatesAustralia
In The Last Decade
Michael Nussbaum
17 papers receiving 409 citations
Peers
Comparison fields: 5 of 43
- Statistics and Probability 320
- Artificial Intelligence 125
- Finance 84
- Applied Mathematics 79
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Michael Nussbaum
This map shows the geographic impact of Michael Nussbaum'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 Nussbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Nussbaum more than expected).
Fields of papers citing papers by Michael Nussbaum
This network shows the impact of papers produced by Michael Nussbaum. 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 Nussbaum. The network helps show where Michael Nussbaum may publish in the future.
Co-authorship network of co-authors of Michael Nussbaum
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Nussbaum. A scholar is included among the top collaborators of Michael Nussbaum 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 Nussbaum. Michael Nussbaum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Asymptotically optimal discrimination between multiple pure quantum states | 2 |
| 6 | 17 | |
| 7 | A lower bound of Chernoff type for symmetric quantum hypothesis testing | 15 |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 36 | |
| 11 | 14 | |
| 12 | 26 | |
| 13 | 155 | |
| 14 | 71 | |
| 15 | 23 | |
| 16 | 88 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Student legal rights;: What they are and how to protect them | 0 |
| 20 | 0 |
About Michael Nussbaum
Michael Nussbaum is a scholar working on Statistics and Probability, Finance and Mathematical Physics, having authored 20 papers that have together received 482 indexed citations. Recurring topics across this work include Statistical Methods and Inference (11 papers), Quantum Mechanics and Applications (4 papers) and Quantum Information and Cryptography (4 papers). The work is most often cited by research in Statistics and Probability (320 citations), Finance (84 citations) and Numerical Analysis (43 citations). Michael Nussbaum has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include David L. Donoho, Ion Grama, Peter Hall, Arleta Szkoła, Steven Stern, A. P. Korostelev, Grigori N. Milstein, Harrison H. Zhou, Mark M. Wilde and Pengsheng Ji. Their work appears in journals such as The Annals of Statistics, Probability Theory and Related Fields and Journal of Multivariate Analysis.
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.