Stephen Whyte

634 total citations
38 papers, 354 citations indexed

About

Stephen Whyte is a scholar working on Experimental and Cognitive Psychology, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Stephen Whyte has authored 38 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Experimental and Cognitive Psychology, 14 papers in Sociology and Political Science and 10 papers in Gender Studies. Recurrent topics in Stephen Whyte's work include Evolutionary Psychology and Human Behavior (15 papers), Reproductive Health and Technologies (7 papers) and Marriage and Sexual Relationships (7 papers). Stephen Whyte is often cited by papers focused on Evolutionary Psychology and Human Behavior (15 papers), Reproductive Health and Technologies (7 papers) and Marriage and Sexual Relationships (7 papers). Stephen Whyte collaborates with scholars based in Australia, Switzerland and Germany. Stephen Whyte's co-authors include Benno Torgler, Ho Fai Chan, Robert C. Brooks, David A. Savage, Jordan W. Moon, Ahmed Skali, Karin Hammarberg, Keith Harrison, Alex Polyakov and Michelle Peate and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Stephen Whyte

35 papers receiving 347 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen Whyte Australia 12 115 111 88 85 72 38 354
Kendall Soucie Canada 11 51 0.4× 103 0.9× 83 0.9× 34 0.4× 10 0.1× 27 382
Walberto Silva dos Santos› Brazil 14 60 0.5× 100 0.9× 100 1.1× 6 0.1× 15 0.2× 50 410
Rose Marie Hoffman United States 7 36 0.3× 110 1.0× 61 0.7× 4 0.0× 211 2.9× 14 355
Matthew Hall United Kingdom 11 14 0.1× 111 1.0× 134 1.5× 6 0.1× 203 2.8× 34 376
Jacqueline Granleese United Kingdom 8 54 0.5× 78 0.7× 79 0.9× 5 0.1× 57 0.8× 11 285
Barry Singer United States 8 97 0.8× 87 0.8× 161 1.8× 7 0.1× 43 0.6× 13 339
Danny Kaplan Israel 12 19 0.2× 201 1.8× 40 0.5× 5 0.1× 167 2.3× 29 382
Émerson Diógenes de Medeiros Brazil 9 60 0.5× 59 0.5× 171 1.9× 4 0.0× 10 0.1× 79 354
Laura L. Finken United States 8 56 0.5× 182 1.6× 59 0.7× 3 0.0× 39 0.5× 13 377
Michael D. Berry Finland 8 16 0.1× 65 0.6× 89 1.0× 8 0.1× 32 0.4× 24 266

Countries citing papers authored by Stephen Whyte

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Whyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Whyte. 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 Stephen Whyte. The network helps show where Stephen Whyte may publish in the future.

Co-authorship network of co-authors of Stephen Whyte

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Whyte. A scholar is included among the top collaborators of Stephen Whyte 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 Stephen Whyte. Stephen Whyte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chan, Ho Fai, et al.. (2025). Clinical decision-making: Cognitive biases and heuristics in triage decisions in the emergency department. The American Journal of Emergency Medicine. 92. 60–67. 1 indexed citations
2.
Whyte, Stephen, et al.. (2025). Exploring past and future fluency of temporal landmarks under reduced agency. Scientific Reports. 15(1). 15920–15920.
3.
Blake, Khandis R., et al.. (2025). Sex Differences in Perception of Economic and Dating Access. Evolutionary Psychology. 23(1). 4152587210–4152587210.
4.
Laubach, Markus, Stephen Whyte, Ho Fai Chan, et al.. (2024). Lost in translation: the lack of agreement between surgeons and scientists regarding biomaterials research and innovation for treating bone defects. BMC Medicine. 22(1). 517–517. 6 indexed citations
5.
Whyte, Stephen, Christhina Cândido, Ho Fai Chan, et al.. (2024). Exploring the Benefits of Mass Timber Construction in the Workplace: A Novel Primer for Research. Buildings. 14(7). 2072–2072. 7 indexed citations
6.
Laubach, Markus, Stephen Whyte, Ho Fai Chan, et al.. (2024). How Framing Bias Impacts Preferences for Innovation in Bone Tissue Engineering. Tissue Engineering Part A. 31(5-6). 277–283. 1 indexed citations
7.
Chan, Ho Fai, et al.. (2023). How Large is the Beauty Premium in Politics?. SSRN Electronic Journal. 1 indexed citations
8.
Whyte, Stephen, et al.. (2023). Factors impacting informed consent in cosmetic breast augmentation. The Breast. 68. 225–232. 3 indexed citations
9.
Whyte, Stephen, et al.. (2022). Understanding the Reasons Why Men and Women Do Not Donate Gametes. Reproductive Sciences. 30(5). 1651–1659. 6 indexed citations
10.
Chan, Ho Fai, et al.. (2022). A Behavioural Economics Analysis of Will Making Preferences: When to Begin and Who Should Have the Most Input?. SSRN Electronic Journal. 1 indexed citations
11.
Lensen, Sarah, Karin Hammarberg, Alex Polyakov, et al.. (2021). How common is add-on use and how do patients decide whether to use them? A national survey of IVF patients. Human Reproduction. 36(7). 1854–1861. 34 indexed citations
12.
Whyte, Stephen, Robert C. Brooks, Ho Fai Chan, & Benno Torgler. (2021). Sex differences in sexual attraction for aesthetics, resources and personality across age. PLoS ONE. 16(5). e0250151–e0250151. 16 indexed citations
13.
Chan, Ho Fai, Jordan W. Moon, David A. Savage, et al.. (2020). Can Psychological Traits Explain Mobility Behavior During the COVID-19 Pandemic?. Social Psychological and Personality Science. 12(6). 1018–1029. 48 indexed citations
14.
Whyte, Stephen, Ho Fai Chan, Karin Hammarberg, & Benno Torgler. (2020). Exploring the impact of terminology differences in blood and organ donor decision making. PLoS ONE. 15(1). e0227536–e0227536. 5 indexed citations
15.
Whyte, Stephen, Robert C. Brooks, & Benno Torgler. (2019). Sexual economic theory & the human mating market. Applied Economics. 51(57). 6100–6112. 11 indexed citations
16.
Whyte, Stephen, Robert C. Brooks, & Benno Torgler. (2018). Man, Woman, “Other”: Factors Associated with Nonbinary Gender Identification. Archives of Sexual Behavior. 47(8). 2397–2406. 32 indexed citations
17.
Whyte, Stephen, Ho Fai Chan, & Benno Torgler. (2018). Do Men and Women Know What They Want? Sex Differences in Online Daters’ Educational Preferences. Psychological Science. 29(8). 1370–1375. 15 indexed citations
18.
Whyte, Stephen, Esther Lau, Lisa Nissen, & Benno Torgler. (2017). You should know better! Do health students have different risk attitudes to unplanned pregnancy and sexually transmitted diseases?. Applied Economics Letters. 24(21). 1526–1532. 2 indexed citations
19.
Whyte, Stephen, David A. Savage, & Benno Torgler. (2017). Online sperm donors: the impact of family, friends, personality and risk perception on behaviour. Reproductive BioMedicine Online. 35(6). 723–732. 14 indexed citations
20.
Whyte, Stephen, Benno Torgler, & Keith Harrison. (2016). What women want in their sperm donor: A study of more than 1000 women’s sperm donor selections. Economics & Human Biology. 23. 1–9. 17 indexed citations

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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