Yael Benn

1.4k total citations
28 papers, 792 citations indexed

About

Yael Benn is a scholar working on Applied Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Yael Benn has authored 28 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Applied Psychology, 9 papers in Cognitive Neuroscience and 9 papers in Experimental and Cognitive Psychology. Recurrent topics in Yael Benn's work include Behavioral Health and Interventions (11 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Mental Health Research Topics (4 papers). Yael Benn is often cited by papers focused on Behavioral Health and Interventions (11 papers), Cognitive and developmental aspects of mathematical skills (4 papers) and Mental Health Research Topics (4 papers). Yael Benn collaborates with scholars based in United Kingdom, Belgium and United States. Yael Benn's co-authors include Thomas L. Webb, Betty P. I. Chang, Ben Harkin, Paschal Sheeran, Mark Conner, Ian Kellar, Andrew Prestwich, John Reidy, Rosemary Varley and Iain D. Wilkinson and has published in prestigious journals such as Psychological Bulletin, Scientific Reports and Cerebral Cortex.

In The Last Decade

Yael Benn

28 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yael Benn United Kingdom 13 265 161 126 115 106 28 792
Tara A. Rench United States 11 296 1.1× 277 1.7× 137 1.1× 148 1.3× 102 1.0× 11 974
Tracy Sandberg United Kingdom 10 472 1.8× 171 1.1× 253 2.0× 106 0.9× 140 1.3× 11 890
Patricia A. Aloise‐Young United States 16 193 0.7× 189 1.2× 199 1.6× 165 1.4× 69 0.7× 33 914
Loes T. E. Kessels Netherlands 13 450 1.7× 165 1.0× 314 2.5× 133 1.2× 98 0.9× 18 991
Jonathan E. Friedel United States 15 221 0.8× 107 0.7× 65 0.5× 94 0.8× 29 0.3× 37 643
Philip A. Powell United Kingdom 18 105 0.4× 233 1.4× 227 1.8× 195 1.7× 98 0.9× 68 1.0k
Justin Hepler United States 12 445 1.7× 282 1.8× 502 4.0× 166 1.4× 62 0.6× 14 1.2k
Paola Iannello Italy 16 79 0.3× 232 1.4× 191 1.5× 175 1.5× 152 1.4× 66 928
John D. Jasper United States 19 124 0.5× 174 1.1× 184 1.5× 106 0.9× 29 0.3× 44 1.0k
Anastassiya Kovaleva Luxembourg 14 104 0.4× 201 1.2× 185 1.5× 217 1.9× 90 0.8× 36 720

Countries citing papers authored by Yael Benn

Since Specialization
Citations

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

Fields of papers citing papers by Yael Benn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yael Benn

This figure shows the co-authorship network connecting the top 25 collaborators of Yael Benn. A scholar is included among the top collaborators of Yael Benn 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 Yael Benn. Yael Benn 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.
Benn, Yael, et al.. (2023). The language network is not engaged in object categorization. Cerebral Cortex. 33(19). 10380–10400. 6 indexed citations
2.
Davis, Nick J., et al.. (2023). A single tDCS session can enhance numerical competence. Neuropsychologia. 193. 108760–108760. 1 indexed citations
3.
Benn, Yael, et al.. (2022). A qualitative study into the experience of living with acalculia after stroke and other forms of acquired brain injury. Neuropsychological Rehabilitation. 33(9). 1512–1536. 5 indexed citations
4.
Benn, Yael, et al.. (2021). Are Machine Learning Methods the Future for Smoking Cessation Apps?. Sensors. 21(13). 4254–4254. 5 indexed citations
5.
Webb, Thomas L., Yael Benn, Betty P. I. Chang, et al.. (2020). The relationship between individual differences in spontaneous self-affirmation and affect associated with self-weighing. Journal of Research in Personality. 89. 104020–104020. 3 indexed citations
6.
Costen, Nicholas, et al.. (2019). Decision Tree Model of Smoking Behaviour. 1746–1753. 4 indexed citations
7.
Chang, Betty P. I., Thomas L. Webb, Yael Benn, & Chris Stride. (2017). Which Factors Are Associated with Monitoring Goal Progress?. Frontiers in Psychology. 8. 434–434. 7 indexed citations
8.
Chang, Betty P. I., Thomas L. Webb, & Yael Benn. (2017). Why Do People Act Like the Proverbial Ostrich? Investigating the Reasons That People Provide for Not Monitoring Their Goal Progress. Frontiers in Psychology. 8. 152–152. 14 indexed citations
9.
Chang, Betty P. I., Thomas L. Webb, Yael Benn, & James P. Reynolds. (2017). Monitoring personal finances: Evidence that goal progress and regulatory focus influence when people check their balance. Journal of Economic Psychology. 62. 33–49. 9 indexed citations
10.
Reynolds, James P., Thomas L. Webb, Yael Benn, Betty P. I. Chang, & Paschal Sheeran. (2017). Feeling bad about progress does not lead people want to change their health behaviour. Psychology and Health. 33(2). 275–291. 16 indexed citations
11.
Benn, Yael, Thomas L. Webb, Betty P. I. Chang, & Ben Harkin. (2016). What is the psychological impact of self-weighing? A meta-analysis. Health Psychology Review. 10(2). 187–203. 28 indexed citations
12.
Webb, Thomas L., et al.. (2016). Negative affect associated with goal progress does not lead to health behaviour change. European Health Psychologist. 18. 577. 1 indexed citations
13.
Harkin, Ben, Thomas L. Webb, Betty P. I. Chang, et al.. (2015). Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.. Psychological Bulletin. 142(2). 198–229. 303 indexed citations
14.
Benn, Yael, Thomas L. Webb, Betty P. I. Chang, & John Reidy. (2015). What information do consumers consider, and how do they look for it, when shopping for groceries online?. Appetite. 89. 265–273. 89 indexed citations
15.
Benn, Yael, et al.. (2015). Navigating through digital folders uses the same brain structures as real world navigation. Scientific Reports. 5(1). 14719–14719. 29 indexed citations
16.
Benn, Yael, et al.. (2014). The neural basis of monitoring goal progress. Frontiers in Human Neuroscience. 8. 688–688. 26 indexed citations
17.
Chang, Betty P. I., Thomas L. Webb, & Yael Benn. (2014). Teaching & Learning Guide for ‘The Ostrich Problem’: Motivated Avoidance or Rejection of Information About Goal Progress. Social and Personality Psychology Compass. 8(1). 41–44. 2 indexed citations
18.
Benn, Yael, Iain D. Wilkinson, Ying Zheng, et al.. (2013). Differentiating core and co-opted mechanisms in calculation: The neuroimaging of calculation in aphasia. Brain and Cognition. 82(3). 254–264. 7 indexed citations
19.
Benn, Yael, Ying Zheng, Iain D. Wilkinson, Michael Siegal, & Rosemary Varley. (2011). Language in calculation: A core mechanism?. Neuropsychologia. 50(1). 1–10. 21 indexed citations
20.
Willems, Roel M., Yael Benn, Peter Hagoort, Ivan Toni, & Rosemary Varley. (2011). Communicating without a functioning language system: Implications for the role of language in mentalizing. Neuropsychologia. 49(11). 3130–3135. 36 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tara A. Rench Breakdown of academic impact, for papers by Tracy Sandberg Breakdown of academic impact, for papers by Patricia A. Aloise‐Young Breakdown of academic impact, for papers by Loes T. E. Kessels Breakdown of academic impact, for papers by Jonathan E. Friedel Breakdown of academic impact, for papers by Philip A. Powell Breakdown of academic impact, for papers by Justin Hepler Breakdown of academic impact, for papers by Paola Iannello Breakdown of academic impact, for papers by John D. Jasper Breakdown of academic impact, for papers by Anastassiya Kovaleva
Rankless by CCL
2026