Danielle Ropar

3.8k total citations · 1 hit paper
78 papers, 2.5k citations indexed

About

Danielle Ropar is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Clinical Psychology. According to data from OpenAlex, Danielle Ropar has authored 78 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Cognitive Neuroscience, 45 papers in Developmental and Educational Psychology and 20 papers in Clinical Psychology. Recurrent topics in Danielle Ropar's work include Autism Spectrum Disorder Research (60 papers), Behavioral and Psychological Studies (31 papers) and Child and Animal Learning Development (17 papers). Danielle Ropar is often cited by papers focused on Autism Spectrum Disorder Research (60 papers), Behavioral and Psychological Studies (31 papers) and Child and Animal Learning Development (17 papers). Danielle Ropar collaborates with scholars based in United Kingdom, Malaysia and United States. Danielle Ropar's co-authors include Peter Mitchell, Sue Fletcher‐Watson, Catherine J Crompton, Emma Flynn, Antonia F. de C. Hamilton, Elizabeth Sheppard, Peter Chapman, Amy Pearson, Lauren Marsh and Megan Freeth and has published in prestigious journals such as PLoS ONE, NeuroImage and Child Development.

In The Last Decade

Danielle Ropar

75 papers receiving 2.4k citations

Hit Papers

Autistic peer-to-peer information transfer is highly effe... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danielle Ropar United Kingdom 27 2.1k 868 819 438 346 78 2.5k
Grace Iarocci Canada 29 2.2k 1.0× 747 0.9× 1.2k 1.5× 395 0.9× 688 2.0× 93 3.0k
Pamela Heaton United Kingdom 29 2.2k 1.0× 940 1.1× 323 0.4× 371 0.8× 320 0.9× 57 2.5k
Deborah M. Riby United Kingdom 32 1.9k 0.9× 688 0.8× 671 0.8× 412 0.9× 327 0.9× 96 3.0k
Sam Wass United Kingdom 26 1.6k 0.7× 666 0.8× 462 0.6× 476 1.1× 306 0.9× 89 2.8k
Catherine R. G. Jones United Kingdom 30 2.8k 1.3× 758 0.9× 1.1k 1.4× 440 1.0× 772 2.2× 76 3.3k
Michelle O’Riordan United Kingdom 13 2.8k 1.3× 1.4k 1.6× 690 0.8× 407 0.9× 600 1.7× 16 3.3k
Mikael Heimann Sweden 30 887 0.4× 1.3k 1.5× 707 0.9× 706 1.6× 311 0.9× 103 2.6k
Laura G. Klinger United States 27 1.8k 0.9× 760 0.9× 936 1.1× 280 0.6× 808 2.3× 62 2.4k
Therese Jolliffe United Kingdom 6 1.9k 0.9× 1.1k 1.2× 560 0.7× 321 0.7× 445 1.3× 8 2.5k
Sue Fletcher‐Watson United Kingdom 30 2.8k 1.3× 862 1.0× 1.4k 1.7× 851 1.9× 430 1.2× 106 3.6k

Countries citing papers authored by Danielle Ropar

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Ropar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Ropar

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Ropar. A scholar is included among the top collaborators of Danielle Ropar 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 Danielle Ropar. Danielle Ropar 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
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Lewis, Steff, Danielle Ropar, Robert A. Ackerman, et al.. (2025). Diagnostic status influences rapport and communicative behaviours in dyadic interactions between autistic and non-autistic people. PLoS ONE. 20(8). e0330222–e0330222. 1 indexed citations
3.
Sasson, Noah J., et al.. (2025). Social motor synchrony and interactive rapport in autistic, non-autistic, and mixed-neurotype dyads. Autism. 2758211361–2758211361. 3 indexed citations
4.
Ackerman, Robert A., et al.. (2025). Rapport in same and mixed neurotype groups of autistic and non-autistic adults. Autism. 29(7). 1700–1710. 3 indexed citations
5.
Ropar, Danielle, et al.. (2022). A pilot study of co-produced autism training for police custody staff: evaluating the impact on perceived knowledge change and behaviour intentions. Policing An International Journal. 45(3). 434–447. 9 indexed citations
6.
Sheppard, Elizabeth, Editha van Loon, & Danielle Ropar. (2022). Dimensions of Self-Reported Driving Difficulty in Autistic and Non-Autistic Adults and their Relationship with Autistic Traits. Journal of Autism and Developmental Disorders. 53(1). 285–295. 2 indexed citations
7.
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Dubey, Indu, et al.. (2020). Distinct neural correlates of social and object reward seeking motivation. European Journal of Neuroscience. 52(9). 4214–4229. 13 indexed citations
10.
Bellato, Alessio, et al.. (2020). Is autonomic function during resting-state atypical in Autism: A systematic review of evidence. PsyArXiv (OSF Preprints). 1 indexed citations
11.
Jackson, Jonathan, et al.. (2019). Exploring the autistic and police perspectives of the custody process through a participative walkthrough. Research in Developmental Disabilities. 97. 103545–103545. 22 indexed citations
12.
Brown, Beverley J, Soyoung Kim, Jessica Thompson, et al.. (2017). A Neural Basis for Contagious Yawning. Current Biology. 27(17). 2713–2717.e2. 12 indexed citations
13.
Dubey, Indu, Danielle Ropar, & Antonia F. de C. Hamilton. (2016). Brief Report: A Comparison of the Preference for Viewing Social and Non-social Movies in Typical and Autistic Adolescents. Journal of Autism and Developmental Disorders. 47(2). 514–519. 22 indexed citations
14.
James, Richard J. E., et al.. (2016). The Latent Structure of Autistic Traits: A Taxometric, Latent Class and Latent Profile Analysis of the Adult Autism Spectrum Quotient. Journal of Autism and Developmental Disorders. 46(12). 3712–3728. 26 indexed citations
15.
Ropar, Danielle, et al.. (2015). Visual integration in autism. Frontiers in Human Neuroscience. 9. 387–387. 9 indexed citations
16.
Dubey, Indu, Danielle Ropar, & Antonia F. de C. Hamilton. (2015). Measuring the value of social engagement in adults with and without autism. Molecular Autism. 6(1). 35–35. 53 indexed citations
17.
Sheppard, Elizabeth, Danielle Ropar, Geoffrey Underwood, & Editha van Loon. (2009). Brief Report: Driving Hazard Perception in Autism. Journal of Autism and Developmental Disorders. 40(4). 504–508. 64 indexed citations
18.
Freeth, Megan, Peter Chapman, Danielle Ropar, & Peter Mitchell. (2009). Do Gaze Cues in Complex Scenes Capture and Direct the Attention of High Functioning Adolescents with ASD? Evidence from Eye-tracking. Journal of Autism and Developmental Disorders. 40(5). 534–547. 116 indexed citations
19.
Sheppard, Elizabeth, Danielle Ropar, & Peter Mitchell. (2006). The Impact of Meaning and Dimensionality on Copying Accuracy in Individuals with Autism. Journal of Autism and Developmental Disorders. 37(10). 1913–1924. 19 indexed citations
20.
Mitchell, Peter, et al.. (2005). How Perception Impacts on Drawings.. Journal of Experimental Psychology Human Perception & Performance. 31(5). 996–1003. 43 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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