John Burkardt

29 papers and 1.1k indexed citations i.

About

John Burkardt is a scholar working on Computational Mechanics, Computational Theory and Mathematics and Statistics, Probability and Uncertainty. According to data from OpenAlex, John Burkardt has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 7 papers in Computational Theory and Mathematics and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in John Burkardt’s work include Advanced Numerical Methods in Computational Mathematics (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Model Reduction and Neural Networks (4 papers). John Burkardt is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Model Reduction and Neural Networks (4 papers). John Burkardt collaborates with scholars based in United States, Canada and China. John Burkardt's co-authors include Max Gunzburger, Werner C. Rheinboldt, Michael Eldred, Hyung‐Chun Lee, Janet Peterson, Vicente Romero, Mauro Perego, Lili Ju, Feifei Xu and Marcus R. Garvie and has published in prestigious journals such as Physical Review B, Journal of Hydrology and Computer Methods in Applied Mechanics and Engineering.

In The Last Decade

Co-authorship network of co-authors of John Burkardt i

Fields of papers citing papers by John Burkardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John Burkardt

Since Specialization
Citations

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