Scott G. McCalla

35 total papers · 645 total citations
16 papers, 461 citations indexed

About

Scott G. McCalla is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Scott G. McCalla has authored 16 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Statistical and Nonlinear Physics and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Scott G. McCalla's work include Nonlinear Dynamics and Pattern Formation (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Mathematical Biology Tumor Growth (3 papers). Scott G. McCalla is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (7 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Mathematical Biology Tumor Growth (3 papers). Scott G. McCalla collaborates with scholars based in United States and Czechia. Scott G. McCalla's co-authors include Hayden Schaeffer, J. P. Lestone, Björn Sandstede, J. P. Lestone, Théodore Kolokolnikov, Martin B. Short, James H. von Brecht, Maria R. D’Orsogna, Yuxuan Liu and P. Jeffrey Brantingham and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Physics of Fluids.

In The Last Decade

Scott G. McCalla

15 papers receiving 436 citations

Author Peers

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

Author Last Decade Papers Cites
Scott G. McCalla 220 170 108 74 49 16 461
Alan A. Kaptanoglu 223 1.0× 91 0.5× 69 0.6× 12 0.2× 80 1.6× 23 411
Alexander Wittig 76 0.3× 120 0.7× 149 1.4× 19 0.3× 25 0.5× 33 434
Joshua T. Horwood 100 0.5× 68 0.4× 214 2.0× 30 0.4× 83 1.7× 32 487
Munther A. Hassouneh 111 0.5× 15 0.1× 148 1.4× 73 1.0× 115 2.3× 30 453
G. Cowan 26 0.1× 177 1.0× 29 0.3× 16 0.2× 11 0.2× 12 542
D. Rousseau 57 0.3× 152 0.9× 13 0.1× 24 0.3× 8 0.2× 34 538
R. S. Burington 47 0.2× 21 0.1× 79 0.7× 16 0.2× 35 0.7× 13 502
D.L. Hetrick 61 0.3× 23 0.1× 327 3.0× 21 0.3× 77 1.6× 27 437
A. V. Monwanou 259 1.2× 97 0.6× 6 0.1× 191 2.6× 24 0.5× 57 488
Shuai Yuan 134 0.6× 35 0.2× 26 0.2× 213 2.9× 40 0.8× 37 505

Countries citing papers authored by Scott G. McCalla

Since Specialization
Citations

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

Fields of papers citing papers by Scott G. McCalla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott G. McCalla

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