Paul G. Schmidt

60 total papers · 1.0k total citations
45 papers, 723 citations indexed

About

Paul G. Schmidt is a scholar working on Molecular Biology, Applied Mathematics and Computational Theory and Mathematics. According to data from OpenAlex, Paul G. Schmidt has authored 45 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Applied Mathematics and 10 papers in Computational Theory and Mathematics. Recurrent topics in Paul G. Schmidt's work include Advanced Mathematical Modeling in Engineering (9 papers), Nonlinear Partial Differential Equations (7 papers) and Advanced NMR Techniques and Applications (5 papers). Paul G. Schmidt is often cited by papers focused on Advanced Mathematical Modeling in Engineering (9 papers), Nonlinear Partial Differential Equations (7 papers) and Advanced NMR Techniques and Applications (5 papers). Paul G. Schmidt collaborates with scholars based in United States, Germany and Spain. Paul G. Schmidt's co-authors include Irwin D. Kuntz, Debra A. Feakes, Kenneth Shelly, William F. Bauer, M. Frederick Hawthorne, Monica Lazzo, Daniel H. Rich, Paul F. Agris, Jesús Ildefonso Díaz Díaz and A. J. Meir and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paul G. Schmidt

42 papers receiving 665 citations

Author Peers

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

Author						Papers	Cites
Paul G. Schmidt	324	139	120	115	78	45	723
Sjoerd Dirksen	224 0.7×	62 0.4×	38 0.3×	63 0.5×	35 0.4×	27	656
Patrik Forssén	342 1.1×	85 0.6×	94 0.8×	24 0.2×	543 7.0×	40	847
Isseki Yu	609 1.9×	25 0.2×	223 1.9×	21 0.2×	71 0.9×	21	782
Hiroaki Aikawa	116 0.4×	25 0.2×	22 0.2×	420 3.7×	94 1.2×	68	808
C. Oguey	321 1.0×	8 0.1×	311 2.6×	11 0.1×	19 0.2×	40	693
Stephen J. Gardiner	86 0.3×	14 0.1×	52 0.4×	460 4.0×	81 1.0×	86	821
А. В. Лобода	251 0.8×	12 0.1×	52 0.4×	172 1.5×	527 6.8×	56	872
W. Förster	167 0.5×	18 0.1×	32 0.3×	8 0.1×	17 0.2×	29	657
Michael L. Johnson	439 1.4×	35 0.3×	74 0.6×	4 0.0×	91 1.2×	37	904
David Marcus	370 1.1×	21 0.2×	74 0.6×	6 0.1×	45 0.6×	21	692

Countries citing papers authored by Paul G. Schmidt

Since Specialization

Citations

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

Fields of papers citing papers by Paul G. Schmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul G. Schmidt. 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 Paul G. Schmidt. The network helps show where Paul G. Schmidt may publish in the future.

Co-authorship network of co-authors of Paul G. Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Paul G. Schmidt. A scholar is included among the top collaborators of Paul G. Schmidt 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 Paul G. Schmidt. Paul G. Schmidt 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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