Anna K. Bobak

1.2k total citations
18 papers, 703 citations indexed

About

Anna K. Bobak is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Anna K. Bobak has authored 18 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 12 papers in Computer Vision and Pattern Recognition and 7 papers in Experimental and Cognitive Psychology. Recurrent topics in Anna K. Bobak's work include Face Recognition and Perception (17 papers), Face recognition and analysis (11 papers) and Evolutionary Psychology and Human Behavior (6 papers). Anna K. Bobak is often cited by papers focused on Face Recognition and Perception (17 papers), Face recognition and analysis (11 papers) and Evolutionary Psychology and Human Behavior (6 papers). Anna K. Bobak collaborates with scholars based in United Kingdom, Australia and United States. Anna K. Bobak's co-authors include Sarah Bate, Peter Hancock, Rachel J. Bennetts, Benjamin A. Parris, Nicola Gregory, Meike Ramon, David White, Viktoria R. Mileva, Steve Langton and Ashok Jansari and has published in prestigious journals such as PLoS ONE, Frontiers in Psychology and Cortex.

In The Last Decade

Anna K. Bobak

18 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna K. Bobak United Kingdom 12 667 410 257 145 74 18 703
Rachel J. Bennetts United Kingdom 20 762 1.1× 420 1.0× 323 1.3× 115 0.8× 101 1.4× 39 812
Allan McNeill United Kingdom 7 442 0.7× 246 0.6× 239 0.9× 94 0.6× 21 0.3× 9 521
Dana A. Roark United States 7 492 0.7× 314 0.8× 240 0.9× 88 0.6× 20 0.3× 12 624
Thomas Grüter Germany 10 426 0.6× 144 0.4× 239 0.9× 51 0.4× 45 0.6× 11 476
Jean H. Searcy United States 6 1.1k 1.6× 423 1.0× 489 1.9× 194 1.3× 25 0.3× 7 1.1k
Martina Grüter Germany 8 378 0.6× 127 0.3× 208 0.8× 50 0.3× 40 0.5× 9 425
Matthew C. Fysh United Kingdom 11 290 0.4× 207 0.5× 142 0.6× 68 0.5× 25 0.3× 24 358
Olivia S. Cheung United States 13 578 0.9× 157 0.4× 274 1.1× 90 0.6× 14 0.2× 30 645
Kathryn H. McWeeny United Kingdom 8 785 1.2× 292 0.7× 344 1.3× 123 0.8× 29 0.4× 8 837
Madeleine Pidcock Australia 6 462 0.7× 222 0.5× 229 0.9× 44 0.3× 54 0.7× 9 486

Countries citing papers authored by Anna K. Bobak

Since Specialization
Citations

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

Fields of papers citing papers by Anna K. Bobak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna K. Bobak. 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 Anna K. Bobak. The network helps show where Anna K. Bobak may publish in the future.

Co-authorship network of co-authors of Anna K. Bobak

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

All Works

18 of 18 papers shown
1.
McGregor, Lesley, et al.. (2025). This condition impacts every aspect of my life: A survey to understand the experience of living with developmental prosopagnosia. PLoS ONE. 20(4). e0322469–e0322469. 1 indexed citations
2.
Hancock, Peter, et al.. (2024). Evidence for different visual processing strategy for non-face stimuli in developmental prosopagnosia. Visual Cognition. 32(1). 1–12. 1 indexed citations
3.
Hancock, Peter, et al.. (2024). Automated face recognition assists with low‐prevalence face identity mismatches but can bias users. British Journal of Psychology. 1 indexed citations
4.
Hancock, Peter, et al.. (2024). A new way of classifying developmental prosopagnosia: Balanced Integration Score. Cortex. 172. 159–184. 8 indexed citations
5.
Bobak, Anna K., et al.. (2023). Data-driven studies in face identity processing rely on the quality of the tests and data sets. Cortex. 166. 348–364. 5 indexed citations
6.
Bobak, Anna K., et al.. (2022). Distinct abilities associated with matching same identity faces versus discriminating different faces: Evidence from individual differences in prosopagnosics and controls. Quarterly Journal of Experimental Psychology. 75(12). 2256–2271. 12 indexed citations
7.
Bobak, Anna K., Viktoria R. Mileva, & Peter Hancock. (2019). A grey area: how does image hue affect unfamiliar face matching?. Cognitive Research Principles and Implications. 4(1). 27–27. 10 indexed citations
8.
Bate, Sarah, Rachel J. Bennetts, Nicola Gregory, et al.. (2019). Objective Patterns of Face Recognition Deficits in 165 Adults with Self-Reported Developmental Prosopagnosia. Brain Sciences. 9(6). 133–133. 40 indexed citations
9.
Ramon, Meike, Anna K. Bobak, & David White. (2019). Super‐recognizers: From the lab to the world and back again. British Journal of Psychology. 110(3). 461–479. 62 indexed citations
10.
Bate, Sarah, Charlie D. Frowd, Rachel J. Bennetts, et al.. (2018). Applied screening tests for the detection of superior face recognition. Cognitive Research Principles and Implications. 3(1). 22–22. 55 indexed citations
11.
Bobak, Anna K., Viktoria R. Mileva, & Peter Hancock. (2018). Facing the facts: Naive participants have only moderate insight into their face recognition and face perception abilities. Quarterly Journal of Experimental Psychology. 72(4). 872–881. 45 indexed citations
12.
Bobak, Anna K., et al.. (2016). Detecting Superior Face Recognition Skills in a Large Sample of Young British Adults. Frontiers in Psychology. 7. 1378–1378. 72 indexed citations
13.
Bobak, Anna K., Rachel J. Bennetts, Benjamin A. Parris, Ashok Jansari, & Sarah Bate. (2016). An in-depth cognitive examination of individuals with superior face recognition skills. Cortex. 82. 48–62. 61 indexed citations
14.
Bobak, Anna K., et al.. (2016). Solving the Border Control Problem: Evidence of Enhanced Face Matching in Individuals with Extraordinary Face Recognition Skills. PLoS ONE. 11(2). e0148148–e0148148. 81 indexed citations
15.
Bobak, Anna K., Benjamin A. Parris, Nicola Gregory, Rachel J. Bennetts, & Sarah Bate. (2016). Eye-Movement Strategies in Developmental Prosopagnosia and “Super” Face Recognition. Quarterly Journal of Experimental Psychology. 70(2). 201–217. 95 indexed citations
16.
Bobak, Anna K. & Steve Langton. (2015). Working memory load disrupts gaze-cued orienting of attention. Frontiers in Psychology. 6. 1258–1258. 25 indexed citations
17.
Bobak, Anna K., Peter Hancock, & Sarah Bate. (2015). Super‐recognisers in Action: Evidence from Face‐matching and Face Memory Tasks. Applied Cognitive Psychology. 30(1). 81–91. 101 indexed citations
18.
Bate, Sarah, et al.. (2014). Rehabilitation of face-processing skills in an adolescent with prosopagnosia: Evaluation of an online perceptual training programme. Neuropsychological Rehabilitation. 25(5). 733–762. 28 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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