Nati Srebro

14 papers and 373 indexed citations i.

About

Nati Srebro is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nati Srebro has authored 14 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Computational Mechanics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nati Srebro’s work include Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Nati Srebro is often cited by papers focused on Stochastic Gradient Optimization Techniques (5 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Algorithms (4 papers). Nati Srebro collaborates with scholars based in United States, Israel and China. Nati Srebro's co-authors include Ohad Shamir, Tong Zhang, Andrew Cotter, Karthik Sridharan, Blake Woodworth, Behnam Neyshabur, Shai Shalev‐Shwartz, Martin Takáč, Peter Richtárik and Yury Makarychev and has published in prestigious journals such as Social Science Computer Review, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Nati Srebro i

Fields of papers citing papers by Nati Srebro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nati Srebro

Since Specialization
Citations

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