Sarah V. Stevenage

1.7k total citations
62 papers, 1.2k citations indexed

About

Sarah V. Stevenage is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sarah V. Stevenage has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 24 papers in Experimental and Cognitive Psychology and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sarah V. Stevenage's work include Face Recognition and Perception (31 papers), Multisensory perception and integration (14 papers) and Face recognition and analysis (10 papers). Sarah V. Stevenage is often cited by papers focused on Face Recognition and Perception (31 papers), Multisensory perception and integration (14 papers) and Face recognition and analysis (10 papers). Sarah V. Stevenage collaborates with scholars based in United Kingdom and United States. Sarah V. Stevenage's co-authors include Mark Nixon, Neville A. Stanton, Amina Memon, Richard Guest, Oscar Miguel‐Hurtado, Wendy Kneller, Hugh G. Lewis, Sue Black, Allan McNeill and Chris Bevan and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Computers in Human Behavior.

In The Last Decade

Sarah V. Stevenage

60 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah V. Stevenage United Kingdom	20	515	354	309	241	159	62	1.2k
Adrienne Wood United States	17	443 0.9×	393 1.1×	202 0.7×	493 2.0×	139 0.9×	44	1.5k
Joyce H. D. M. Westerink Netherlands	23	470 0.9×	539 1.5×	182 0.6×	478 2.0×	75 0.5×	80	1.7k
Yao Chong Lim United States	3	272 0.5×	461 1.3×	477 1.5×	267 1.1×	54 0.3×	3	1.3k
Xuhai Xu United States	20	276 0.5×	178 0.5×	173 0.6×	132 0.5×	93 0.6×	67	1.1k
Fatma Nasoz United States	11	394 0.8×	603 1.7×	162 0.5×	284 1.2×	43 0.3×	18	945
Asta Roseway United States	19	352 0.7×	277 0.8×	333 1.1×	225 0.9×	171 1.1×	47	1.8k
Joris H. Janssen Netherlands	17	361 0.7×	366 1.0×	76 0.2×	362 1.5×	74 0.5×	28	1.2k
Sile O’Modhrain United States	21	840 1.6×	129 0.4×	368 1.2×	124 0.5×	79 0.5×	63	1.4k
Johannes Wagner Germany	29	395 0.8×	1.4k 3.9×	297 1.0×	440 1.8×	73 0.5×	110	3.9k

Countries citing papers authored by Sarah V. Stevenage

Since Specialization

Citations

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

Fields of papers citing papers by Sarah V. Stevenage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah V. Stevenage. 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 Sarah V. Stevenage. The network helps show where Sarah V. Stevenage may publish in the future.

Co-authorship network of co-authors of Sarah V. Stevenage

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

All Works

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20 of 20 papers shown

Stevenage, Sarah V., et al.. (2024). Familiarity Is Key: Exploring the Effect of Familiarity on the Face-Voice Correlation. Brain Sciences. 14(2). 112–112. 3 indexed citations

Kelly, Stephen W., et al.. (2023). Sounds and speech: Individual differences in unfamiliar voice recognition. Applied Cognitive Psychology. 37(3). 507–519. 2 indexed citations

Stevenage, Sarah V., et al.. (2023). The Curious Case of Impersonators and Singers: Telling Voices Apart and Telling Voices Together under Naturally Challenging Listening Conditions. Brain Sciences. 13(2). 358–358. 1 indexed citations

Tsermentseli, Stella, et al.. (2021). Are super‐face‐recognisers also super‐voice‐recognisers? Evidence from cross‐modal identification tasks. Applied Cognitive Psychology. 35(3). 590–605. 12 indexed citations

Stevenage, Sarah V., et al.. (2020). May I Speak Freely? The Difficulty in Vocal Identity Processing Across Free and Scripted Speech. Journal of Nonverbal Behavior. 45(1). 149–163. 3 indexed citations

Stevenage, Sarah V.. (2017). Drawing a distinction between familiar and unfamiliar voice processing: A review of neuropsychological, clinical and empirical findings. Neuropsychologia. 116(Pt B). 162–178. 47 indexed citations

Stevenage, Sarah V., et al.. (2016). Fact or friction: Examination of the transparency, reliability and sufficiency of the ACE-V method of fingerprint analysis. Forensic Science International. 267. 145–156. 14 indexed citations

Stevenage, Sarah V., et al.. (2014). Testing the reliability of hands and ears as biometrics: the importance of viewpoint. Psychological Research. 79(6). 989–999. 4 indexed citations

Creese, Sadie, et al.. (2012). SuperIdentity: Fusion of Identity across Real and Cyber Domains. ePrints Soton (University of Southampton). 12 indexed citations

10.

Stevenage, Sarah V., et al.. (2008). The Influence of Disfigurement on Conversational Recall. Journal of Health Psychology. 13(8). 1113–1118. 9 indexed citations

11.

Dror, Itiel E., et al.. (2007). Helping the cognitive system learn: exaggerating distinctiveness and uniqueness. Applied Cognitive Psychology. 22(4). 573–584. 17 indexed citations

12.

Stevenage, Sarah V. & Hugh G. Lewis. (2005). By which name should I call thee? The consequences of having multiple names. The Quarterly Journal of Experimental Psychology Section A. 58(8). 1447–1461. 6 indexed citations

13.

Donnelly, Nick, Julie A. Hadwin, Kyle R. Cave, & Sarah V. Stevenage. (2003). Perceptual dominance of oriented faces mirrors the distribution of orientation tunings in inferotemporal neurons. Cognitive Brain Research. 17(3). 771–780. 7 indexed citations

14.

Stevenage, Sarah V.. (2000). Introduction: giving each other a helping hand (in special issue on facial information processing: a multidisciplinary perspective). ePrints Soton (University of Southampton).

15.

Stevenage, Sarah V.. (1999). IACAPA: modelling recognition and learning of people with an interactive activation and competition model. ePrints Soton (University of Southampton). 1999. 779–784. 2 indexed citations

16.

Hastings, Richard P., et al.. (1998). Swedish and English adolescents' attitudes toward the community presence of people with disabilities. Journal of Intellectual Disability Research. 42(3). 246–253. 23 indexed citations

17.

Stanton, Neville A. & Sarah V. Stevenage. (1998). Learning to predict human error: issues of acceptability, reliability and validity. Ergonomics. 41(11). 1737–1756. 90 indexed citations

18.

Stevenage, Sarah V.. (1997). Face facts: theories and findings. ePrints Soton (University of Southampton). 1 indexed citations

19.

Stevenage, Sarah V.. (1995). Demonstration of a caricature advantage in children. 14(4). 325–341. 3 indexed citations

20.

Stevenage, Sarah V.. (1995). Can caricatures really produce distinctiveness effects?. British Journal of Psychology. 86(1). 127–146. 49 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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