Danielle Ropar

3.8k citations
78 papers · 2.5k indexed · 1 hit paper · h-index 27

Danielle Ropar

75 papers receiving 2.4k citations

Hit Papers

Autistic peer-to-peer information transfer is highly effe...265202020262022202450100150200250

Peers

Danielle Ropar
Comparison fields: 5 of 94
  • Cognitive Neuroscience 2.1k
  • Developmental and Educational Psychology 868
  • Clinical Psychology 819
  • Occupational Therapy 98
  • Psychiatry and Mental health 346
Replace Grace Iarocci with:
Grace Iarocci Canada
John Sideris United States
Loisa Bennetto United States
Catherine R. G. Jones United Kingdom
Pamela Heaton United Kingdom
Laura G. Klinger United States
Ilse Noens Belgium
Michelle O’Riordan United Kingdom
Therese Jolliffe United Kingdom
Sam Wass United Kingdom
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Citations per field
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Grace Iarocci · 1×
Citations per year

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

The 25 scholars most cited alongside Danielle Ropar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Danielle Ropar Line = papers co-authored together Danielle Ropar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20253
4 20253
5 20229
6 20222
7 20224
8 2020196
9 202013
10 20201
11 201922
12 201712
13 201622
14 201626
15 20159
16 201553
17 200964
18 2009116
19 200619
20 200543

About Danielle Ropar

Danielle Ropar is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Statistics and Probability, Clinical Psychology and Psychiatry and Mental health, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (60 papers), Behavioral and Psychological Studies (31 papers), Child and Animal Learning Development (17 papers), Child Development and Digital Technology (10 papers), Attention Deficit Hyperactivity Disorder (9 papers), Obsessive-Compulsive Spectrum Disorders (8 papers), Cognitive and developmental aspects of mathematical skills (8 papers) and Action Observation and Synchronization (8 papers). The work is most often cited by research in Cognitive Neuroscience (2.1k citations), Developmental and Educational Psychology (868 citations), Clinical Psychology (819 citations), Occupational Therapy (98 citations) and Psychiatry and Mental health (346 citations). Danielle Ropar has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent 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. Their work appears in journals such as Journal of Autism and Developmental Disorders, Autism, Journal of Child Psychology and Psychiatry, Autism Research and Molecular Autism.

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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