Simone Favelle

400 total citations
29 papers, 295 citations indexed

About

Simone Favelle is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Simone Favelle has authored 29 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 12 papers in Experimental and Cognitive Psychology and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Simone Favelle's work include Face Recognition and Perception (21 papers), Evolutionary Psychology and Human Behavior (12 papers) and Face recognition and analysis (8 papers). Simone Favelle is often cited by papers focused on Face Recognition and Perception (21 papers), Evolutionary Psychology and Human Behavior (12 papers) and Face recognition and analysis (8 papers). Simone Favelle collaborates with scholars based in Australia, Hong Kong and United Kingdom. Simone Favelle's co-authors include Stephen Palmisano, William G. Hayward, Kate Crookes, Romina Palermo, Elinor McKone, Darren Burke, Anne M. Aimola Davies, Chiara Fiorentini, Mary C. Broughton and Harold Hill and has published in prestigious journals such as PLoS ONE, Journal of Experimental Psychology Human Perception & Performance and Vision Research.

In The Last Decade

Simone Favelle

27 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Favelle Australia 11 230 133 107 43 17 29 295
James Tanaka Canada 4 282 1.2× 128 1.0× 82 0.8× 37 0.9× 12 0.7× 7 333
Anne Gaule United Kingdom 5 233 1.0× 100 0.8× 96 0.9× 32 0.7× 19 1.1× 12 260
Libby Taylor Australia 7 258 1.1× 124 0.9× 70 0.7× 22 0.5× 61 3.6× 8 299
Patricia A George United Kingdom 7 365 1.6× 245 1.8× 205 1.9× 37 0.9× 28 1.6× 7 445
Maria Tsantani United Kingdom 9 190 0.8× 104 0.8× 49 0.5× 37 0.9× 22 1.3× 13 247
Johanna Stahl Germany 3 332 1.4× 179 1.3× 61 0.6× 45 1.0× 5 0.3× 6 346
Marisa Nordt Germany 10 259 1.1× 54 0.4× 41 0.4× 21 0.5× 7 0.4× 16 310
Paulami Naik United States 6 155 0.7× 54 0.4× 26 0.2× 33 0.8× 34 2.0× 7 217
Marta Picozzi Italy 9 413 1.8× 288 2.2× 185 1.7× 50 1.2× 14 0.8× 10 496
Chan-Sup Chung South Korea 3 354 1.5× 239 1.8× 101 0.9× 58 1.3× 5 0.3× 5 380

Countries citing papers authored by Simone Favelle

Since Specialization
Citations

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

Fields of papers citing papers by Simone Favelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Favelle

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Favelle. A scholar is included among the top collaborators of Simone Favelle 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 Simone Favelle. Simone Favelle 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.
Sulikowski, Danielle, Simone Favelle, Elinor McKone, Megan Willis, & Darren Burke. (2023). The composite effect reveals that human (but not other primate) faces are special to humans. PLoS ONE. 18(5). e0286451–e0286451. 1 indexed citations
2.
Miller, Leonie M. & Simone Favelle. (2022). Emphasizing Transferable Skills in Undergraduate Cognitive Psychology is Associated With Higher Grades. Teaching of Psychology. 51(3). 291–297.
3.
Favelle, Simone, et al.. (2021). Within-person variability can improve the identification of unfamiliar faces across changes in viewpoint. Quarterly Journal of Experimental Psychology. 74(11). 1873–1887.
4.
Favelle, Simone & Stephen Palmisano. (2018). View specific generalisation effects in face recognition: Front and yaw comparison views are better than pitch. PLoS ONE. 13(12). e0209927–e0209927. 6 indexed citations
5.
Favelle, Simone, Harold Hill, & Peter Claes. (2017). About Face: Matching Unfamiliar Faces Across Rotations of View and Lighting. i-Perception. 8(6). 979015773–979015773. 13 indexed citations
6.
Hayward, William G., et al.. (2016). Holistic processing of face configurations and components.. Journal of Experimental Psychology Human Perception & Performance. 42(10). 1482–1489. 15 indexed citations
7.
Favelle, Simone, et al.. (2015). Dynamic composite faces are processed holistically. Vision Research. 112. 26–32. 14 indexed citations
8.
Favelle, Simone, et al.. (2015). Dynamic facial expressions are processed holistically, but not more holistically than static facial expressions. Cognition & Emotion. 30(6). 1208–1221. 26 indexed citations
9.
Favelle, Simone & Stephen Palmisano. (2015). Change Magnitude Does Not Guide Attention in an Object Change Detection Task. Perception. 44(1). 93–99. 2 indexed citations
10.
Crookes, Kate, Simone Favelle, & William G. Hayward. (2013). Holistic Processing for Other-Race Faces in Chinese Participants Occurs for Upright but Not Inverted Faces. Frontiers in Psychology. 4. 29–29. 29 indexed citations
11.
McKone, Elinor, Anne M. Aimola Davies, Kate Crookes, et al.. (2013). Importance of the Inverted Control in Measuring Holistic Face Processing with the Composite Effect and Part-Whole Effect. Frontiers in Psychology. 4. 33–33. 51 indexed citations
12.
Favelle, Simone & Stephen Palmisano. (2012). The Face Inversion Effect Following Pitch and Yaw Rotations: Investigating the Boundaries of Holistic Processing. Frontiers in Psychology. 3. 563–563. 8 indexed citations
13.
Crookes, Kate, et al.. (2011). Why are face composites difficult to recognize?. Journal of Vision. 11(11). 668–668. 1 indexed citations
14.
Favelle, Simone & Stephen Palmisano. (2010). The time course of configural change detection for novel 3-D objects. Attention Perception & Psychophysics. 72(4). 999–1012. 1 indexed citations
15.
Favelle, Simone & Stephen Palmisano. (2010). The utility of different object properties in change detection. 93–97. 1 indexed citations
16.
Villanueva, Elmer, Sandra C. Jones, Caroline Nehill, et al.. (2008). The 2003 Australian Breast Health Survey: survey design and preliminary results. BMC Public Health. 8(1). 13–13. 21 indexed citations
17.
Palmisano, Stephen, et al.. (2008). Time-to-Contact Perception During Simulated Night Landing. International Journal of Aviation Psychology. 18(2). 207–223. 3 indexed citations
18.
Palmisano, Stephen, et al.. (2008). Effects of scenery, lighting, glideslope, and experience on timing the landing flare.. Journal of Experimental Psychology Applied. 14(3). 236–246. 8 indexed citations
19.
Favelle, Simone & Darren Burke. (2007). Attention to Configural Information in Change Detection for Faces. Perception. 36(9). 1353–1367. 1 indexed citations
20.
Favelle, Simone, William G. Hayward, Darren Burke, & Stephen Palmisano. (2006). The configural advantage in object change detection persists across depth rotation. Perception & Psychophysics. 68(8). 1254–1263. 3 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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