Suzanne H. Austin

41 total papers · 634 total citations
24 papers, 399 citations indexed

About

Suzanne H. Austin is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Suzanne H. Austin has authored 24 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Ecology, 16 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Nature and Landscape Conservation. Recurrent topics in Suzanne H. Austin's work include Animal Behavior and Reproduction (15 papers), Avian ecology and behavior (13 papers) and Wildlife Ecology and Conservation (6 papers). Suzanne H. Austin is often cited by papers focused on Animal Behavior and Reproduction (15 papers), Avian ecology and behavior (13 papers) and Wildlife Ecology and Conservation (6 papers). Suzanne H. Austin collaborates with scholars based in United States, Sweden and Canada. Suzanne H. Austin's co-authors include W. Douglas Robinson, Robert E. Ricklefs, Rebecca M. Calisi, Matthew D. MacManes, Andrew S. Lang, Tara Rodden Robinson, Margaret A. Voss, Kirk C. Klasing, Daniel R. Ardia and Caren B. Cooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Suzanne H. Austin

23 papers receiving 391 citations

Author Peers

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

Author						Papers	Cites
Suzanne H. Austin	237	187	48	48	48	24	399
Donna J. Holmes	153 0.6×	161 0.9×	44 0.9×	32 0.7×	79 1.6×	20	443
R. J. P. Thearle	195 0.8×	115 0.6×	67 1.4×	60 1.3×	27 0.6×	13	405
Wendy L. Reed	254 1.1×	238 1.3×	50 1.0×	66 1.4×	49 1.0×	26	442
Corinne P. Kozlowski	182 0.8×	158 0.8×	21 0.4×	29 0.6×	67 1.4×	29	352
E. O. Höhn	175 0.7×	140 0.7×	38 0.8×	54 1.1×	40 0.8×	54	369
Blanca Jimeno	221 0.9×	285 1.5×	18 0.4×	32 0.7×	41 0.9×	26	446
Kathryn Wilsterman	149 0.6×	145 0.8×	18 0.4×	18 0.4×	40 0.8×	26	368
Stéphanie Dano	285 1.2×	302 1.6×	27 0.6×	27 0.6×	21 0.4×	9	405
Martina S. Müller	229 1.0×	183 1.0×	43 0.9×	18 0.4×	21 0.4×	21	370
Jean‐Marie Bergeron	314 1.3×	167 0.9×	138 2.9×	36 0.8×	36 0.8×	43	423

Countries citing papers authored by Suzanne H. Austin

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne H. Austin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne H. Austin. 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 Suzanne H. Austin. The network helps show where Suzanne H. Austin may publish in the future.

Co-authorship network of co-authors of Suzanne H. Austin

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne H. Austin. A scholar is included among the top collaborators of Suzanne H. Austin 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 Suzanne H. Austin. Suzanne H. Austin 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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