Samuel B. Hopkins

About

Samuel B. Hopkins is a scholar working on Artificial Intelligence, Computational Mechanics and Computational Theory and Mathematics. According to data from OpenAlex, Samuel B. Hopkins has authored 17 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computational Mechanics and 7 papers in Computational Theory and Mathematics. Recurrent topics in Samuel B. Hopkins’s work include Combinatorial Optimization and Complexity Theory (7 papers), Sparse and Compressive Sensing Techniques (7 papers) and Machine Learning and Algorithms (5 papers). Samuel B. Hopkins is often cited by papers focused on Combinatorial Optimization and Complexity Theory (7 papers), Sparse and Compressive Sensing Techniques (7 papers) and Machine Learning and Algorithms (5 papers). Samuel B. Hopkins collaborates with scholars based in United States, Italy and China. Samuel B. Hopkins's co-authors include David Steurer, Jonathan Shi, Tselil Schramm, Pravesh K. Kothari, Aaron Potechin, Jonathan A. Kelner, Ankur Moitra, Boaz Barak, Prasad Raghavendra and Nilesh Tripuraneni and has published in prestigious journals such as Bioinformatics, The Annals of Statistics and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Samuel B. Hopkins i

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Fields of papers citing papers by Samuel B. Hopkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel B. Hopkins. 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 Samuel B. Hopkins. The network helps show where Samuel B. Hopkins may publish in the future.

Countries citing papers authored by Samuel B. Hopkins

Since Specialization

Citations

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