Susan Smith Nash

123 total papers · 469 total citations
28 papers, 257 citations indexed

About

Susan Smith Nash is a scholar working on Ecology, Evolution, Behavior and Systematics, Developmental and Educational Psychology and Information Systems and Management. According to data from OpenAlex, Susan Smith Nash has authored 28 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Ecology, Evolution, Behavior and Systematics, 3 papers in Developmental and Educational Psychology and 2 papers in Information Systems and Management. Recurrent topics in Susan Smith Nash's work include Animal Behavior and Reproduction (3 papers), Innovative Teaching and Learning Methods (2 papers) and Animal Nutrition and Physiology (2 papers). Susan Smith Nash is often cited by papers focused on Animal Behavior and Reproduction (3 papers), Innovative Teaching and Learning Methods (2 papers) and Animal Nutrition and Physiology (2 papers). Susan Smith Nash collaborates with scholars based in United States, United Kingdom and South Africa. Susan Smith Nash's co-authors include Michael Domjan, William Stafford, Lawrence Venuti, George Henderson, Gayle Greene, Coppélia Kahn, Eduardo Galeano, Lucy M. Turner, Roland Oberhänsli and Patrick L. Friend and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the Royal Society B Biological Sciences and Journal of Morphology.

In The Last Decade

Susan Smith Nash

21 papers receiving 213 citations

Author Peers

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

Author						Papers	Cites
Susan Smith Nash	80	60	48	39	37	28	257
Avi Segal	143 1.8×	46 0.8×	27 0.6×	23 0.6×	33 0.9×	30	320
Brian Gravel	125 1.6×	29 0.5×	142 3.0×	15 0.4×	17 0.5×	35	321
Petra Poláková	39 0.5×	137 2.3×	134 2.8×	28 0.7×	37 1.0×	13	328
Kelly Mills	155 1.9×	45 0.8×	99 2.1×	29 0.7×	6 0.2×	25	327
Jamis J. Perrett	8 0.1×	15 0.3×	78 1.6×	35 0.9×	29 0.8×	17	300
Sung-Hee Jin	100 1.3×	77 1.3×	98 2.0×	27 0.7×	26 0.7×	39	276
Éric Sanchez	48 0.6×	48 0.8×	86 1.8×	89 2.3×	20 0.5×	34	276
Markus Spitzer	58 0.7×	33 0.6×	109 2.3×	17 0.4×	41 1.1×	32	294
Daniela Caballero	78 1.0×	49 0.8×	122 2.5×	29 0.7×	27 0.7×	24	301
Ángela Barrón Ruíz	21 0.3×	30 0.5×	89 1.9×	23 0.6×	12 0.3×	20	253

Countries citing papers authored by Susan Smith Nash

Since Specialization

Citations

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

Fields of papers citing papers by Susan Smith Nash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan Smith Nash. 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 Susan Smith Nash. The network helps show where Susan Smith Nash may publish in the future.

Co-authorship network of co-authors of Susan Smith Nash

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Smith Nash. A scholar is included among the top collaborators of Susan Smith Nash 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 Susan Smith Nash. Susan Smith Nash 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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