Paul J. Fraccaro

874 total citations
16 papers, 575 citations indexed

About

Paul J. Fraccaro is a scholar working on Experimental and Cognitive Psychology, Marketing and Gender Studies. According to data from OpenAlex, Paul J. Fraccaro has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Experimental and Cognitive Psychology, 9 papers in Marketing and 5 papers in Gender Studies. Recurrent topics in Paul J. Fraccaro's work include Evolutionary Psychology and Human Behavior (14 papers), Consumer Behavior in Brand Consumption and Identification (9 papers) and Media, Gender, and Advertising (5 papers). Paul J. Fraccaro is often cited by papers focused on Evolutionary Psychology and Human Behavior (14 papers), Consumer Behavior in Brand Consumption and Identification (9 papers) and Media, Gender, and Advertising (5 papers). Paul J. Fraccaro collaborates with scholars based in Canada, United Kingdom and Germany. Paul J. Fraccaro's co-authors include David R. Feinberg, Benedict C. Jones, Jillian J.M. O’Connor, Lisa M. DeBruine, Cara C. Tigue, Katarzyna Pisanski, Christopher D. Watkins, Anthony C. Little, Bernhard Fink and Paul W. Andrews and has published in prestigious journals such as PLoS ONE, Animal Behaviour and Journal of Experimental Psychology Human Perception & Performance.

In The Last Decade

Paul J. Fraccaro

16 papers receiving 551 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul J. Fraccaro Canada 13 437 141 116 115 110 16 575
Carolyn R. Hodges‐Simeon United States 14 442 1.0× 115 0.8× 96 0.8× 70 0.6× 139 1.3× 34 629
Jovana Vukovic United Kingdom 12 495 1.1× 88 0.6× 136 1.2× 188 1.6× 140 1.3× 13 584
Alexander K. Hill United States 8 297 0.7× 75 0.5× 74 0.6× 56 0.5× 92 0.8× 11 397
Susanne Röder Germany 10 262 0.6× 94 0.7× 54 0.5× 46 0.4× 46 0.4× 14 376
Finlay G. Smith United Kingdom 17 644 1.5× 49 0.3× 225 1.9× 263 2.3× 170 1.5× 20 790
Delia Wakelin United Kingdom 6 174 0.4× 103 0.7× 47 0.4× 31 0.3× 101 0.9× 6 450
Juan David Leongómez Colombia 11 191 0.4× 48 0.3× 72 0.6× 27 0.2× 57 0.5× 26 318
Christopher D. Watkins United Kingdom 18 652 1.5× 36 0.3× 306 2.6× 212 1.8× 214 1.9× 48 841
Daniel Brian Krupp Canada 13 220 0.5× 40 0.3× 72 0.6× 46 0.4× 215 2.0× 23 459
Vít Třebický Czechia 14 320 0.7× 20 0.1× 120 1.0× 78 0.7× 83 0.8× 27 484

Countries citing papers authored by Paul J. Fraccaro

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Fraccaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Fraccaro. 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 Paul J. Fraccaro. The network helps show where Paul J. Fraccaro may publish in the future.

Co-authorship network of co-authors of Paul J. Fraccaro

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

All Works

16 of 16 papers shown
1.
Watkins, Christopher D., et al.. (2015). It’s the way he tells them (and who is listening): men’s dominance is positively correlated with their preference for jokes told by dominant-sounding men. Evolution and Human Behavior. 37(2). 97–104. 4 indexed citations
2.
O’Connor, Jillian J.M., Benedict C. Jones, Paul J. Fraccaro, et al.. (2014). Sociosexual Attitudes and Dyadic Sexual Desire Independently Predict Women’s Preferences for Male Vocal Masculinity. Archives of Sexual Behavior. 43(7). 1343–1353. 12 indexed citations
3.
Pisanski, Katarzyna, Paul J. Fraccaro, Cara C. Tigue, Jillian J.M. O’Connor, & David R. Feinberg. (2014). Return to Oz: Voice pitch facilitates assessments of men’s body size.. Journal of Experimental Psychology Human Perception & Performance. 40(4). 1316–1331. 41 indexed citations
4.
O’Connor, Jillian J.M., Paul J. Fraccaro, Katarzyna Pisanski, et al.. (2014). Social dialect and men's voice pitch influence women's mate preferences. Evolution and Human Behavior. 35(5). 368–375. 11 indexed citations
5.
Pisanski, Katarzyna, Paul J. Fraccaro, Cara C. Tigue, et al.. (2014). Vocal indicators of body size in men and women: a meta-analysis. Animal Behaviour. 95. 89–99. 133 indexed citations
6.
O’Connor, Jillian J.M., Paul J. Fraccaro, Katarzyna Pisanski, Cara C. Tigue, & David R. Feinberg. (2013). Men's Preferences for Women's Femininity in Dynamic Cross-Modal Stimuli. PLoS ONE. 8(7). e69531–e69531. 15 indexed citations
7.
O’Connor, Jillian J.M., Katarzyna Pisanski, Cara C. Tigue, Paul J. Fraccaro, & David R. Feinberg. (2013). Perceptions of infidelity risk predict women’s preferences for low male voice pitch in short-term over long-term relationship contexts. Personality and Individual Differences. 56. 73–77. 21 indexed citations
8.
Tigue, Cara C., Katarzyna Pisanski, Jillian J.M. O’Connor, Paul J. Fraccaro, & David R. Feinberg. (2012). Men's judgments of women's facial attractiveness from two- and three-dimensional images are similar. Journal of Vision. 12(12). 3–3. 17 indexed citations
9.
O’Connor, Jillian J.M., Paul J. Fraccaro, & David R. Feinberg. (2012). The influence of male voice pitch on women's perceptions of relationship investment. 10(1). 1–13. 25 indexed citations
10.
Fraccaro, Paul J., Jillian J.M. O’Connor, Daniel E. Re, et al.. (2012). Faking it: deliberately altered voice pitch and vocal attractiveness. Animal Behaviour. 85(1). 127–136. 58 indexed citations
11.
O’Connor, Jillian J.M., David R. Feinberg, Paul J. Fraccaro, et al.. (2012). Female Preferences for Male Vocal and Facial Masculinity in Videos. Ethology. 118(4). 321–330. 21 indexed citations
12.
Fraccaro, Paul J., Benedict C. Jones, Jovana Vukovic, et al.. (2011). Experimental evidence that women speak in a higher voice pitch to men they find attractive. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 9(1). 57–67. 63 indexed citations
13.
Watkins, Christopher D., Lisa M. DeBruine, Anthony C. Little, et al.. (2011). Perceptions of partner femininity predict individual differences in men's sensitivity to facial cues of male dominance. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 9(1). 69–82. 4 indexed citations
14.
Watkins, Christopher D., Paul J. Fraccaro, F. G. Smith, et al.. (2010). Taller men are less sensitive to cues of dominance in other men. Behavioral Ecology. 21(5). 943–947. 77 indexed citations
15.
Watkins, Christopher D., Lisa M. DeBruine, Finlay G. Smith, et al.. (2010). Like father, like self: emotional closeness to father predicts women's preferences for self-resemblance in opposite-sex faces. Evolution and Human Behavior. 32(1). 70–75. 19 indexed citations
16.
Fraccaro, Paul J., David R. Feinberg, Lisa M. DeBruine, et al.. (2010). Correlated Male Preferences for Femininity in Female Faces and Voices. Evolutionary Psychology. 8(3). 447–461. 54 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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