Nathan Srebro

62 papers and 2.9k indexed citations
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About

Nathan Srebro is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nathan Srebro has authored 62 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Artificial Intelligence, 20 papers in Computational Mechanics and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nathan Srebro’s work include Machine Learning and Algorithms (21 papers), Sparse and Compressive Sensing Techniques (20 papers) and Stochastic Gradient Optimization Techniques (20 papers). Nathan Srebro is often cited by papers focused on Machine Learning and Algorithms (21 papers), Sparse and Compressive Sensing Techniques (20 papers) and Stochastic Gradient Optimization Techniques (20 papers). Nathan Srebro collaborates with scholars based in United States, Israel and Japan. Nathan Srebro's co-authors include Tommi Jaakkola, Shai Shalev‐Shwartz, Andrew Cotter, Yoram Singer, Jason D. M. Rennie, Behnam Neyshabur, Ruslan Salakhutdinov, Karthik Sridharan, Rachel Ward and Deanna Needell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and IEEE Transactions on Automatic Control.

In The Last Decade

Co-authorship network of co-authors of Nathan Srebro

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Srebro. A scholar is included among the top collaborators of Nathan Srebro 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 Nathan Srebro. Nathan Srebro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Nathan Srebro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan Srebro. 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 Nathan Srebro. The network helps show where Nathan Srebro may publish in the future.

Countries citing papers authored by Nathan Srebro

Since Specialization
Citations

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