R. J. Gordon

49 total papers · 819 total citations
34 papers, 588 citations indexed

About

R. J. Gordon is a scholar working on Fluid Flow and Transfer Processes, Computational Mechanics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, R. J. Gordon has authored 34 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Fluid Flow and Transfer Processes, 11 papers in Computational Mechanics and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in R. J. Gordon's work include Rheology and Fluid Dynamics Studies (21 papers), Blood properties and coagulation (8 papers) and Fluid Dynamics and Turbulent Flows (8 papers). R. J. Gordon is often cited by papers focused on Rheology and Fluid Dynamics Studies (21 papers), Blood properties and coagulation (8 papers) and Fluid Dynamics and Turbulent Flows (8 papers). R. J. Gordon collaborates with scholars based in United States. R. J. Gordon's co-authors include W. R. Schowalter, Daniel White, W. Jape Taylor, Frederick W. Lombard, Gregory K. Snyder, George R. Daicoff, Robert E. Rawitscher, Rebecca Pulk, Katrin Sangkuhl and Stephen G. Gonsalves and has published in prestigious journals such as Nature, Anesthesiology and AIChE Journal.

In The Last Decade

R. J. Gordon

32 papers receiving 557 citations

Author Peers

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

Author						Papers	Cites
R. J. Gordon	314	160	120	94	85	34	588
David B. Todd	171 0.5×	107 0.7×	98 0.8×	130 1.4×	116 1.4×	34	607
Miguel Moyers-González	343 1.1×	272 1.7×	129 1.1×	33 0.4×	130 1.5×	42	584
K. Kannan	35 0.1×	77 0.5×	58 0.5×	84 0.9×	20 0.2×	33	645
Nicholas Tetlow	233 0.7×	353 2.2×	105 0.9×	14 0.1×	21 0.2×	18	642
Lei Li	304 1.0×	195 1.2×	114 0.9×	86 0.9×	75 0.9×	42	634
T Noto	138 0.4×	114 0.7×	14 0.1×	19 0.2×	37 0.4×	34	586
J. N. Cannon	13 0.0×	160 1.0×	108 0.9×	19 0.2×	29 0.3×	19	556
Jingwei Xin	346 1.1×	245 1.5×	173 1.4×	10 0.1×	10 0.1×	35	651
Xiaojun Pan	22 0.1×	61 0.4×	90 0.8×	8 0.1×	28 0.3×	45	537
W. Kozicki	399 1.3×	326 2.0×	149 1.2×	43 0.5×	34 0.4×	35	635

Countries citing papers authored by R. J. Gordon

Since Specialization

Citations

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

Fields of papers citing papers by R. J. Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. J. Gordon

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