Jonathan Weed

12 papers and 286 indexed citations i.

About

Jonathan Weed is a scholar working on Artificial Intelligence, Statistics and Probability and Numerical Analysis. According to data from OpenAlex, Jonathan Weed has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 3 papers in Statistics and Probability and 3 papers in Numerical Analysis. Recurrent topics in Jonathan Weed’s work include Advanced Optimization Algorithms Research (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Optimal Transport in Geometry and Analysis (2 papers). Jonathan Weed is often cited by papers focused on Advanced Optimization Algorithms Research (3 papers), Markov Chains and Monte Carlo Methods (2 papers) and Optimal Transport in Geometry and Analysis (2 papers). Jonathan Weed collaborates with scholars based in United States, France and United Kingdom. Jonathan Weed's co-authors include Francis Bach, Philippe Rigollet, Jason M. Altschuler, Amelia Perry, Afonso S. Bandeira, Amit Singer, Damian Evans, Quentin Berthet, Vianney Perchet and Yury Polyanskiy and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Theory and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Jonathan Weed i

Fields of papers citing papers by Jonathan Weed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Weed

Since Specialization
Citations

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