Barron Bichon

16 papers and 1.5k indexed citations i.

About

Barron Bichon is a scholar working on Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Barron Bichon has authored 16 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 7 papers in Statistics, Probability and Uncertainty and 5 papers in Management Science and Operations Research. Recurrent topics in Barron Bichon’s work include Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Optimal Experimental Design Methods (5 papers). Barron Bichon is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Optimal Experimental Design Methods (5 papers). Barron Bichon collaborates with scholars based in United States, United Kingdom and Canada. Barron Bichon's co-authors include Sankaran Mahadevan, Michael Eldred, Laura Swiler, J. M. McFarland, Charles V. Camp, John M. McFarland, John McFarland, David Říha, David A. Ferrill and Luc Huyse and has published in prestigious journals such as AIAA Journal, AAPG Bulletin and Osteoarthritis and Cartilage.

In The Last Decade

Co-authorship network of co-authors of Barron Bichon i

Fields of papers citing papers by Barron Bichon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Barron Bichon

Since Specialization
Citations

This map shows the geographic impact of Barron Bichon'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 Barron Bichon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barron Bichon 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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2025