Gregory J. Reid

54 total papers · 1.3k total citations
33 papers, 876 citations indexed

About

Gregory J. Reid is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Gregory J. Reid has authored 33 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 8 papers in Numerical Analysis and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Gregory J. Reid's work include Nonlinear Waves and Solitons (10 papers), Numerical methods for differential equations (8 papers) and Pregnancy and preeclampsia studies (6 papers). Gregory J. Reid is often cited by papers focused on Nonlinear Waves and Solitons (10 papers), Numerical methods for differential equations (8 papers) and Pregnancy and preeclampsia studies (6 papers). Gregory J. Reid collaborates with scholars based in Canada, United States and Japan. Gregory J. Reid's co-authors include George W. Bluman, Sukeyuki Kumei, Allan Wittkopf, Valérie Désilets, Philip Wyatt, R. Douglas Wilson, David C. Young, Anne Summers, Gregory Davies and Annette S. Flozak and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, Computer Physics Communications and Journal of Mathematical Analysis and Applications.

In The Last Decade

Gregory J. Reid

27 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Gregory J. Reid 429 185 163 126 111 33 876
Gareth E. Roberts 165 0.4× 34 0.2× 56 0.3× 18 0.1× 146 1.3× 25 716
Mark Edelman 549 1.3× 37 0.2× 3 0.0× 17 0.1× 56 0.5× 65 886
Peter Li 24 0.1× 19 0.1× 14 0.1× 178 1.4× 88 0.8× 18 871
Steen Pedersen 72 0.2× 25 0.1× 11 0.1× 95 0.8× 28 0.3× 51 965
Božidar Jovanović 197 0.5× 12 0.1× 27 0.2× 3 0.0× 161 1.5× 66 704
Calvin D. Ahlbrandt 193 0.4× 354 1.9× 263 2.1× 135 1.2× 29 818
W. I. Fushchich 791 1.8× 231 1.2× 38 0.3× 170 1.5× 41 1.1k
Donald A. Lutz 156 0.4× 270 1.5× 237 1.9× 208 1.9× 40 755
Yasutaka Sibuya 197 0.5× 292 1.6× 257 2.0× 263 2.4× 55 835
В. А. Дородницын 628 1.5× 416 2.2× 30 0.2× 67 0.6× 46 871

Countries citing papers authored by Gregory J. Reid

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Reid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Reid. 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 Gregory J. Reid. The network helps show where Gregory J. Reid may publish in the future.

Co-authorship network of co-authors of Gregory J. Reid

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Reid. A scholar is included among the top collaborators of Gregory J. Reid 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 Gregory J. Reid. Gregory J. Reid 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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