Emily B. Fox

About

Emily B. Fox is a scholar working on Artificial Intelligence, Statistics and Probability and Signal Processing. According to data from OpenAlex, Emily B. Fox has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 21 papers in Statistics and Probability and 7 papers in Signal Processing. Recurrent topics in Emily B. Fox’s work include Bayesian Methods and Mixture Models (26 papers), Gaussian Processes and Bayesian Inference (15 papers) and Markov Chains and Monte Carlo Methods (11 papers). Emily B. Fox is often cited by papers focused on Bayesian Methods and Mixture Models (26 papers), Gaussian Processes and Bayesian Inference (15 papers) and Markov Chains and Monte Carlo Methods (11 papers). Emily B. Fox collaborates with scholars based in United States, United Kingdom and Tanzania. Emily B. Fox's co-authors include Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky, Ali Shojaie, François Caron, Nicholas J. Foti, David B. Dunson, Tauhid Zaman, Eric T. Bradlow and Ben Taskar and has published in prestigious journals such as Circulation, Neurology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Co-authorship network of co-authors of Emily B. Fox i

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Fields of papers citing papers by Emily B. Fox

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Emily B. Fox

Since Specialization

Citations

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