Fred Huffer

15 papers and 367 indexed citations i.

About

Fred Huffer is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Fred Huffer has authored 15 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Statistics and Probability and 3 papers in Economics and Econometrics. Recurrent topics in Fred Huffer’s work include Bayesian Methods and Mixture Models (5 papers), Spatial and Panel Data Analysis (3 papers) and Statistical Distribution Estimation and Applications (3 papers). Fred Huffer is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Spatial and Panel Data Analysis (3 papers) and Statistical Distribution Estimation and Applications (3 papers). Fred Huffer collaborates with scholars based in United States. Fred Huffer's co-authors include Hulin Wu, Frank Müller‐Karger, Lian Feng, Ira Leifer, Deborah French-McCay, Oscar Garcia‐Pineda, Gregg A. Swayze, Chuanmin Hu, Andrew Beet and George Graettinger and has published in prestigious journals such as PLoS Computational Biology, Computational Statistics & Data Analysis and Proceedings of the American Mathematical Society.

In The Last Decade

Co-authorship network of co-authors of Fred Huffer i

Fields of papers citing papers by Fred Huffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fred Huffer

Since Specialization
Citations

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