Jason Bell

1.6k total citations
90 papers, 1.2k citations indexed

About

Jason Bell is a scholar working on Cognitive Neuroscience, Clinical Psychology and Social Psychology. According to data from OpenAlex, Jason Bell has authored 90 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 22 papers in Clinical Psychology and 21 papers in Social Psychology. Recurrent topics in Jason Bell's work include Visual perception and processing mechanisms (42 papers), Eating Disorders and Behaviors (19 papers) and Color perception and design (14 papers). Jason Bell is often cited by papers focused on Visual perception and processing mechanisms (42 papers), Eating Disorders and Behaviors (19 papers) and Color perception and design (14 papers). Jason Bell collaborates with scholars based in Australia, Canada and United Kingdom. Jason Bell's co-authors include David R. Badcock, Romina Palermo, Elizabeth Rieger, J. Edwin Dickinson, F. A. A. Kingdom, P. J. Livesey, Elena Gheorghiu, Hugh R. Wilson, Frances Wilkinson and Renita A. Almeida and has published in prestigious journals such as PLoS ONE, Journal of Neurophysiology and Scientific Reports.

In The Last Decade

Jason Bell

89 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Bell Australia	22	757	281	249	243	111	90	1.2k
So Kanazawa Japan	22	1.3k 1.7×	487 1.7×	54 0.2×	327 1.3×	231 2.1×	119	1.7k
Isabelle Mareschal United Kingdom	25	1.5k 2.0×	313 1.1×	125 0.5×	275 1.1×	254 2.3×	91	1.8k
Angela M. Brown United States	25	778 1.0×	603 2.1×	43 0.2×	620 2.6×	70 0.6×	88	1.9k
Nick Donnelly United Kingdom	28	1.9k 2.6×	724 2.6×	188 0.8×	334 1.4×	427 3.8×	104	2.4k
Jeroen J. A. van Boxtel Australia	21	1.3k 1.7×	322 1.1×	59 0.2×	339 1.4×	95 0.9×	57	1.5k
Alexis D. J. Makin United Kingdom	22	1.3k 1.7×	399 1.4×	62 0.2×	358 1.5×	88 0.8×	75	1.4k
Taosheng Liu United States	27	2.1k 2.8×	422 1.5×	78 0.3×	276 1.1×	194 1.7×	77	2.4k
James L. Dannemiller United States	19	799 1.1×	274 1.0×	28 0.1×	266 1.1×	140 1.3×	61	1.1k
Tom Banton United States	15	767 1.0×	156 0.6×	19 0.1×	341 1.4×	66 0.6×	24	1.1k
Erich W. Graf United Kingdom	18	908 1.2×	238 0.8×	45 0.2×	193 0.8×	151 1.4×	50	1.1k

Countries citing papers authored by Jason Bell

Since Specialization

Citations

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

Fields of papers citing papers by Jason Bell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Bell

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bowden, Vanessa K., Jason Bell, Troy A. W. Visser, et al.. (2025). Adaptable Automation Transparency: Should Humans Be Provided Flexibility to Self-Select Transparency Information?. Human Factors The Journal of the Human Factors and Ergonomics Society. 68(1). 5–27.

Kennedy, Briana L., et al.. (2024). Features are more than just filling in the blanks on body size scales. Visual Cognition. 32(3). 234–247. 1 indexed citations

Fitzgerald, Melinda, et al.. (2023). Post-Concussion Symptoms, Cognition and Brain Connectivity in an Australian Undergraduate Population: A Quantitative Electroencephalography Study. Journal of Integrative Neuroscience. 22(2). 50–50. 2 indexed citations

Kennedy, Briana L., et al.. (2023). Sizing up the crowd: Assessing spatial integration difficulties in body size judgements across eating disorder symptomatology. Frontiers in Psychology. 13. 1003250–1003250. 1 indexed citations

Dickinson, J. Edwin, et al.. (2022). Haemodynamic Signatures of Temporal Integration of Visual Mirror Symmetry. Symmetry. 14(5). 901–901. 1 indexed citations

Dickinson, J. Edwin, et al.. (2021). The temporal integration windows for visual mirror symmetry. Vision Research. 188. 184–192. 5 indexed citations

Palermo, Romina, et al.. (2021). Serial dependence of facial identity reflects high-level face coding. Vision Research. 182. 9–19. 14 indexed citations

Palermo, Romina, et al.. (2019). Can People Accurately Estimate the Calories in Food Images? An Optimised Set of Low- and High- Calorie Images from the food-pics database. Appetite. 139. 189–196. 13 indexed citations

Bell, Jason, et al.. (2016). Perceived time slows during fleeting fun or fear. Quarterly Journal of Experimental Psychology. 71(2). 562–567. 5 indexed citations

10.

Rieger, Elizabeth, et al.. (2016). Association between rumination factors and eating disorder behaviours in young women. UWA Profiles and Research Repository (UWA). 4(1). 84–98. 26 indexed citations

11.

Rieger, Elizabeth, et al.. (2015). Reduced Inhibition of Return to Food Images in Obese Individuals. PLoS ONE. 10(9). e0137821–e0137821. 12 indexed citations

12.

Schmidtmann, Gunnar, Ben J. Jennings, Jason Bell, & F. A. A. Kingdom. (2014). Spatial integration of orientation-defined texture. Journal of Vision. 14(10). 1427–1427. 1 indexed citations

13.

Gheorghiu, Elena, Jason Bell, & F. A. A. Kingdom. (2014). Visual adaptation to symmetry. Journal of Vision. 14(10). 63–63. 4 indexed citations

14.

Dickinson, J. Edwin, Jason Bell, & David R. Badcock. (2013). Near Their Thresholds for Detection, Shapes Are Discriminated by the Angular Separation of Their Corners. PLoS ONE. 8(5). e66015–e66015. 25 indexed citations

15.

Bell, Jason, et al.. (2012). Discrimination of rotated-in-depth curves is facilitated by stereoscopic cues, but curvature is not tuned for stereoscopic rotation-in-depth. Vision Research. 77. 14–20. 6 indexed citations

16.

Bell, Jason, Elena Gheorghiu, Robert F. Hess, & Frederick A. A. Kingdom. (2011). Global shape processing involves a hierarchy of integration stages. Vision Research. 51(15). 1760–1766. 29 indexed citations

17.

Bell, Jason, et al.. (2010). More than a simple curve: Evidence for mechanisms which are selective for curves containing inflections. Journal of Vision. 10(7). 1163–1163. 2 indexed citations

18.

Bell, Jason, et al.. (2009). Global contour shapes are coded differently from their local components. Vision Research. 49(13). 1702–1710. 21 indexed citations

19.

Bell, Jason & David R. Badcock. (2009). Narrow-band radial frequency shape channels revealed by sub-threshold summation. Vision Research. 49(8). 843–850. 33 indexed citations

20.

Bell, Jason, J. Edwin Dickinson, & David R. Badcock. (2008). Radial frequency adaptation suggests polar-based coding of local shape cues. Vision Research. 48(21). 2293–2301. 34 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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