Alexander S. Wein

About

Alexander S. Wein is a scholar working on Computational Mechanics, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Alexander S. Wein has authored 23 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 8 papers in Statistics and Probability and 6 papers in Artificial Intelligence. Recurrent topics in Alexander S. Wein’s work include Sparse and Compressive Sensing Techniques (8 papers), Random Matrices and Applications (7 papers) and Blind Source Separation Techniques (6 papers). Alexander S. Wein is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Random Matrices and Applications (7 papers) and Blind Source Separation Techniques (6 papers). Alexander S. Wein collaborates with scholars based in United States, Switzerland and China. Alexander S. Wein's co-authors include Amelia Perry, Afonso S. Bandeira, Ankur Moitra, Tselil Schramm, William Bernard Perry, Cristopher Moore, A. El Alaoui, Jonathan Niles‐Weed, Joe Kileel and Ilias Zadik and has published in prestigious journals such as IEEE Transactions on Information Theory, The Annals of Statistics and The Journal of Pathology.

In The Last Decade

Co-authorship network of co-authors of Alexander S. Wein i

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Fields of papers citing papers by Alexander S. Wein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Alexander S. Wein

Since Specialization

Citations

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).

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.

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