Jason M. Altschuler

About

Jason M. Altschuler is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jason M. Altschuler has authored 21 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 6 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Jason M. Altschuler’s work include Markov Chains and Monte Carlo Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Jason M. Altschuler is often cited by papers focused on Markov Chains and Monte Carlo Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers) and Stochastic Gradient Optimization Techniques (3 papers). Jason M. Altschuler collaborates with scholars based in United States. Jason M. Altschuler's co-authors include Philippe Rigollet, Jonathan Weed, Pablo A. Parrilo, Jonathan Niles‐Weed, Kunal Talwar, Gang Fu, Morteza Zadimoghaddam, Vahab Mirrokni, Afshin Rostamizadeh and Aditya Bhaskara and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of the ACM and Mathematical Programming.

In The Last Decade

Co-authorship network of co-authors of Jason M. Altschuler i

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Fields of papers citing papers by Jason M. Altschuler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Altschuler. 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 Jason M. Altschuler. The network helps show where Jason M. Altschuler may publish in the future.

Countries citing papers authored by Jason M. Altschuler

Since Specialization

Citations

This map shows the geographic impact of Jason M. Altschuler'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 Jason M. Altschuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason M. Altschuler 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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