Netzin G. Steklis

24 total papers · 433 total citations
18 papers, 266 citations indexed

About

Netzin G. Steklis is a scholar working on Social Psychology, Genetics and Experimental and Cognitive Psychology. According to data from OpenAlex, Netzin G. Steklis has authored 18 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 9 papers in Genetics and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Netzin G. Steklis's work include Human-Animal Interaction Studies (9 papers), Evolutionary Psychology and Human Behavior (6 papers) and Primate Behavior and Ecology (5 papers). Netzin G. Steklis is often cited by papers focused on Human-Animal Interaction Studies (9 papers), Evolutionary Psychology and Human Behavior (6 papers) and Primate Behavior and Ecology (5 papers). Netzin G. Steklis collaborates with scholars based in United States, Spain and United Kingdom. Netzin G. Steklis's co-authors include Horst D. Steklis, Martha M. Robbins, Linda Vigilant, Brenda J. Bradley, Christophe Boesch, Elizabeth A. Williamson, Alexander Weiß, Alison W. Fletcher, Winnie Eckardt and Tara S. Stoinski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Personality and Individual Differences.

In The Last Decade

Netzin G. Steklis

16 papers receiving 261 citations

Author Peers

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

Author						Papers	Cites
Netzin G. Steklis	176	115	83	58	50	18	266
Jordan S. Martin	155 0.9×	103 0.9×	89 1.1×	58 1.0×	32 0.6×	24	284
Martina Konečná	191 1.1×	172 1.5×	111 1.3×	37 0.6×	43 0.9×	22	318
Lauriane Rat‐Fischer	142 0.8×	81 0.7×	42 0.5×	38 0.7×	52 1.0×	19	317
Phyllis Jay	189 1.1×	79 0.7×	59 0.7×	30 0.5×	70 1.4×	6	271
Robert Fischer	147 0.8×	115 1.0×	30 0.4×	31 0.5×	39 0.8×	39	306
Allison B. Kaufman	106 0.6×	68 0.6×	67 0.8×	52 0.9×	53 1.1×	14	283
John Berard	199 1.1×	164 1.4×	58 0.7×	44 0.8×	52 1.0×	11	324
Jane Widness	106 0.6×	64 0.6×	62 0.7×	24 0.4×	15 0.3×	11	189
K. L. R. Rasmussen	235 1.3×	112 1.0×	47 0.6×	20 0.3×	74 1.5×	12	295
Mary E. Glenn	146 0.8×	91 0.8×	70 0.8×	21 0.4×	100 2.0×	9	251

Countries citing papers authored by Netzin G. Steklis

Since Specialization

Citations

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

Fields of papers citing papers by Netzin G. Steklis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Netzin G. Steklis

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