Patricia Bauman

69 total papers · 1.3k total citations
46 papers, 918 citations indexed

About

Patricia Bauman is a scholar working on Molecular Biology, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Patricia Bauman has authored 46 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Applied Mathematics and 11 papers in Computational Theory and Mathematics. Recurrent topics in Patricia Bauman's work include Advanced Mathematical Modeling in Engineering (9 papers), Advanced Mathematical Physics Problems (6 papers) and Nonlinear Partial Differential Equations (6 papers). Patricia Bauman is often cited by papers focused on Advanced Mathematical Modeling in Engineering (9 papers), Advanced Mathematical Physics Problems (6 papers) and Nonlinear Partial Differential Equations (6 papers). Patricia Bauman collaborates with scholars based in United States, Switzerland and United Kingdom. Patricia Bauman's co-authors include Daniel Phillips, Thomas A. Gasiewicz, Qi Tang, Randy Blakely, John M. Anderson, Anne E. Cress, Giorgio Trinchieri, Zoltán A. Tökés, William S. Dalton and Massimo De Marchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Patricia Bauman

46 papers receiving 812 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Patricia Bauman 262 233 232 173 91 46 918
D. B. Pearson 239 0.9× 223 1.0× 179 0.8× 544 3.1× 29 0.3× 53 1.1k
Hirofumi Osada 86 0.3× 251 1.1× 192 0.8× 319 1.8× 42 0.5× 61 938
Vincent Calvez 198 0.8× 341 1.5× 188 0.8× 106 0.6× 180 2.0× 32 994
Eric J. Rawdon 127 0.5× 663 2.8× 50 0.2× 63 0.4× 112 1.2× 50 1.2k
Min Tang 82 0.3× 95 0.4× 174 0.8× 53 0.3× 45 0.5× 84 883
Won Kyu Kim 412 1.6× 221 0.9× 67 0.3× 23 0.1× 23 0.3× 84 1.2k
Y. S. Choi 364 1.4× 97 0.4× 453 2.0× 163 0.9× 74 0.8× 57 1.0k
Masahiko Miyamoto 23 0.1× 208 0.9× 11 0.0× 177 1.0× 13 0.1× 94 1.2k
Josephus Hulshof 266 1.0× 262 1.1× 299 1.3× 121 0.7× 6 0.1× 47 832
Jorge A. González 33 0.1× 134 0.6× 8 0.0× 71 0.4× 14 0.2× 52 797

Countries citing papers authored by Patricia Bauman

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Bauman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Bauman

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Bauman. A scholar is included among the top collaborators of Patricia Bauman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia Bauman. Patricia Bauman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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