Jake Bouvrie

About

Jake Bouvrie is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Cognitive Neuroscience. According to data from OpenAlex, Jake Bouvrie has authored 11 papers receiving a total of 187 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Statistical and Nonlinear Physics and 3 papers in Cognitive Neuroscience. Recurrent topics in Jake Bouvrie’s work include Neural Networks and Applications (3 papers), Model Reduction and Neural Networks (3 papers) and Control Systems and Identification (3 papers). Jake Bouvrie is often cited by papers focused on Neural Networks and Applications (3 papers), Model Reduction and Neural Networks (3 papers) and Control Systems and Identification (3 papers). Jake Bouvrie collaborates with scholars based in United States, Saudi Arabia and United Kingdom. Jake Bouvrie's co-authors include Boumediene Hamzi, Tomaso Poggio, Tony Ezzat, Pawan Sinha, Lorenzo Rosasco and Jean-Jacques Slotine and has published in prestigious journals such as Neural Computation, Neurocomputing and SIAM Journal on Control and Optimization.

In The Last Decade

Co-authorship network of co-authors of Jake Bouvrie i

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Fields of papers citing papers by Jake Bouvrie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jake Bouvrie

Since Specialization

Citations

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