Danielle Wagstaff

621 total citations · 1 hit paper
15 papers, 345 citations indexed

About

Danielle Wagstaff is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Danielle Wagstaff has authored 15 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Experimental and Cognitive Psychology, 7 papers in Clinical Psychology and 6 papers in Sociology and Political Science. Recurrent topics in Danielle Wagstaff's work include Evolutionary Psychology and Human Behavior (10 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Sexuality, Behavior, and Technology (3 papers). Danielle Wagstaff is often cited by papers focused on Evolutionary Psychology and Human Behavior (10 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Sexuality, Behavior, and Technology (3 papers). Danielle Wagstaff collaborates with scholars based in Australia, United Kingdom and Poland. Danielle Wagstaff's co-authors include Evita March, Naomi Smith, Jane Goodwin, Danielle Sulikowski, Darren Burke, Peter K. Jonason, Cameron S. Kay, Bojana M. Dinić, Rachel Grieve and Christopher D. Watkins and has published in prestigious journals such as Scientific Reports, Personality and Individual Differences and Frontiers in Psychology.

In The Last Decade

Danielle Wagstaff

14 papers receiving 330 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exploring the relationship between frequency of Instagram use, exposure to idealized images, and psychological well-being in women.

2018 207 citations Danielle Wagstaff et al. Psychology of Popular Media Culture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Wagstaff Australia	8	176	168	69	55	51	15	345
Sara Bocci Benucci Italy	9	315 1.8×	167 1.0×	52 0.8×	50 0.9×	93 1.8×	21	450
Joshua Hendrickse United States	7	139 0.8×	290 1.7×	54 0.8×	74 1.3×	24 0.5×	9	434
Hannah Doucette United States	8	139 0.8×	267 1.6×	46 0.7×	28 0.5×	28 0.5×	12	397
Evelyn P. Meier United States	3	248 1.4×	324 1.9×	37 0.5×	77 1.4×	65 1.3×	5	447
Ariana F. Young United States	10	126 0.7×	100 0.6×	80 1.2×	118 2.1×	20 0.4×	12	342
Jolien Trekels Belgium	11	149 0.8×	210 1.3×	23 0.3×	72 1.3×	47 0.9×	28	357
Ann Rousseau Belgium	14	227 1.3×	292 1.7×	29 0.4×	104 1.9×	50 1.0×	30	439
Kaitlyn Burnell United States	12	309 1.8×	117 0.7×	61 0.9×	50 0.9×	157 3.1×	44	438
Vittoria Franchina Austria	5	328 1.9×	94 0.6×	44 0.6×	37 0.7×	137 2.7×	7	422
Jonathan Burnay Belgium	7	194 1.1×	194 1.2×	40 0.6×	10 0.2×	39 0.8×	8	319

Countries citing papers authored by Danielle Wagstaff

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Wagstaff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Wagstaff

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

All Works

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15 of 15 papers shown

Wagstaff, Danielle, Natalie K. Wolf, & Naomi Smith. (2024). Comparing, competing, and the good mum ideology—Maternal well-being in the context of social media.. Evolutionary Behavioral Sciences. 1 indexed citations

March, Evita, et al.. (2023). “It’s All in Your Head”: Personality Traits and Gaslighting Tactics in Intimate Relationships. Journal of Family Violence. 40(2). 259–268. 13 indexed citations

Sulikowski, Danielle, et al.. (2023). Off with her hair: Intrasexually competitive women advise other women to cut off more hair. Personality and Individual Differences. 216. 112406–112406. 3 indexed citations

Wagstaff, Danielle, et al.. (2022). Mothering Ideology: A Qualitative Exploration of Mothers’ Perceptions of Navigating Motherhood Pressures and Partner Relationships. Sex Roles. 88(1-2). 101–117. 28 indexed citations

March, Evita, et al.. (2022). Women, social media, and physical appearance anxiety: The effect of sociocultural attitudes. 22(2). 17–25.

Watkins, Christopher D., Ana María Fernández, Juan David Leongómez, et al.. (2022). Men say “I love you” before women do: Robust across several countries. Journal of Social and Personal Relationships. 39(7). 2134–2153. 4 indexed citations

Sulikowski, Danielle, et al.. (2021). Mate-value moderates the function of make-up as a signal of intrasexual aggression. Personality and Individual Differences. 185. 111275–111275. 5 indexed citations

Wagstaff, Danielle, et al.. (2020). Effects of gender, self-rated attractiveness, and mate value on perceptions tattoos. Personality and Individual Differences. 168. 110382–110382. 5 indexed citations

March, Evita, et al.. (2020). Exploring anger as a moderator of narcissism and antisocial behaviour on tinder. Personality and Individual Differences. 161. 109961–109961. 7 indexed citations

10.

Watkins, Christopher D., Juan David Leongómez, Agnieszka Żelaźniewicz, et al.. (2019). National income inequality predicts cultural variation in mouth to mouth kissing. Scientific Reports. 9(1). 6698–6698. 8 indexed citations

11.

Wagstaff, Danielle, et al.. (2018). Exploring the relationship between frequency of Instagram use, exposure to idealized images, and psychological well-being in women.. Psychology of Popular Media Culture. 8(4). 482–490. 207 indexed citations breakdown →

12.

Doorn, George Van, et al.. (2018). Down the rabbit hole: assessing the influence of schizotypy on the experience of the Barbie Doll Illusion. Cognitive Neuropsychiatry. 23(5). 284–298. 6 indexed citations

13.

Wagstaff, Danielle. (2018). Comparing mating motivations, social processes, and personality as predictors of women’s cosmetics use.. Evolutionary Behavioral Sciences. 12(4). 367–380. 16 indexed citations

14.

March, Evita & Danielle Wagstaff. (2017). Sending Nudes: Sex, Self-Rated Mate Value, and Trait Machiavellianism Predict Sending Unsolicited Explicit Images. Frontiers in Psychology. 8. 2210–2210. 31 indexed citations

15.

Wagstaff, Danielle, Danielle Sulikowski, & Darren Burke. (2015). Sex-differences in preference for looking at the face or body in short-term and long-term mating contexts. Charles Sturt University Research Output (CRO). 13(1). 1–17. 11 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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