A. F. M. Smith

134 papers and 27.3k indexed citations i.

About

A. F. M. Smith is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, A. F. M. Smith has authored 134 papers receiving a total of 27.3k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Statistics and Probability, 47 papers in Artificial Intelligence and 21 papers in Statistics, Probability and Uncertainty. Recurrent topics in A. F. M. Smith’s work include Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods and Inference (24 papers). A. F. M. Smith is often cited by papers focused on Bayesian Methods and Mixture Models (38 papers), Statistical Methods and Bayesian Inference (37 papers) and Statistical Methods and Inference (24 papers). A. F. M. Smith collaborates with scholars based in United Kingdom, United States and Switzerland. A. F. M. Smith's co-authors include Alan E. Gelfand, Neil Gordon, David Salmond, Nando de Freitas, Arnaud Doucet, Udi Makov, D. M. Titterington, José M. Bernardo, Gareth O. Roberts and D. V. Lindley and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Kidney International.

In The Last Decade

Co-authorship network of co-authors of A. F. M. Smith i

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Fields of papers citing papers by A. F. M. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. F. M. Smith. 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 A. F. M. Smith. The network helps show where A. F. M. Smith may publish in the future.

Countries citing papers authored by A. F. M. Smith

Since Specialization

Citations

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