Alexander S. Wein
- Statistics and Probability top 5%
- Artificial Intelligence
- Computational Mechanics
- Signal Processing
- Computational Mathematics top 5%
- Co-authors
- Afonso S. BandeiraTselil SchrammAnkur MoitraCristopher MooreA. El AlaouiJonathan Niles‐WeedGérard Ben ArousAndrea Montanari
- Topics
- Sparse and Compressive Sensing Techniques (10 papers)Random Matrices and Applications (7 papers)Tensor decomposition and applications (5 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Alexander S. Wein
21 papers receiving 157 citations
Peers
Comparison fields: 5 of 54
- Statistics and Probability 61
- Artificial Intelligence 50
- Computational Mechanics 45
- Signal Processing 30
- Computational Mathematics 26
Countries citing papers authored by Alexander S. Wein
This map shows the geographic impact of Alexander S. Wein'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 Alexander S. Wein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander S. Wein more than expected).
Fields of papers citing papers by Alexander S. Wein
This network shows the impact of papers produced by Alexander S. Wein. 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 Alexander S. Wein. The network helps show where Alexander S. Wein may publish in the future.
Co-authorship network of co-authors of Alexander S. Wein
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander S. Wein. A scholar is included among the top collaborators of Alexander S. Wein 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 Alexander S. Wein. Alexander S. Wein 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 8 | |
| 13 | 0 | |
| 14 | 21 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 4 | |
| 19 | 17 | |
| 20 | 3 |
About Alexander S. Wein
Alexander S. Wein is a scholar working on Computational Mathematics, Statistics and Probability and Computational Mechanics, having authored 23 papers that have together received 159 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (10 papers), Random Matrices and Applications (7 papers) and Tensor decomposition and applications (5 papers). The work is most often cited by research in Computational Mathematics (26 citations), Statistics and Probability (61 citations) and Structural Biology (9 citations). Alexander S. Wein has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Afonso S. Bandeira, Tselil Schramm, Ankur Moitra, Cristopher Moore, A. El Alaoui, Jonathan Niles‐Weed, Gérard Ben Arous, Andrea Montanari, Ramaswamy Govindan and Cory T. Bernadt. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics and The Journal of Pathology.
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.