Michelle Dunn

3.9k citations
46 papers · 2.4k indexed · h-index 24

Impact in

Papers in

Michelle Dunn

43 papers receiving 2.3k citations

Peers

Michelle Dunn
Comparison fields: 5 of 148
  • Cognitive Neuroscience 1.9k
  • Developmental and Educational Psychology 831
  • Psychiatry and Mental health 493
  • Clinical Psychology 563
  • Genetics 641
Replace Terje Falck‐Ytter with:
Terje Falck‐Ytter Sweden
Liliana Ruta Italy
David R. Simmons United Kingdom
Anjana Bhat United States
David M. Williams United Kingdom
Ray D. Kent United States
Fiona Gibbon United Kingdom
Judith S. Gravel United States
Ben Maassen Netherlands
Kirrie J. Ballard Australia
Michelle Dunn relative to Terje Falck‐Ytter Sweden Terje Falck‐Ytter's profile →
Citations per field
00.5×1.5×1.8×
Terje Falck‐Ytter · 1×
Citations per year

Countries citing papers authored by Michelle Dunn

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Dunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Michelle Dunn, 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 Michelle Dunn Line = papers co-authored together Michelle Dunn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202321
2 20227
3
The Impact of a Social Emotional Learning Curriculum on the Social-Emotional Competence of Elementary-Age Students
20193
4 201812
5
Vibration analysis in ladle metallurgy
20151
6 20125
7 2009129
8 2007105
9 200717
10 200686
11 200674
12 200687
13 2005128
14 200548
15 2003318
16 200126
17 200156
18 2000145
19 199759
20 199541

About Michelle Dunn

Michelle Dunn is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology, Conservation, Developmental Biology and General Materials Science, having authored 46 papers that have together received 2.4k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (18 papers), Genetics and Neurodevelopmental Disorders (8 papers), Metallurgical Processes and Thermodynamics (7 papers), Language Development and Disorders (7 papers), Mineral Processing and Grinding (6 papers), Family and Disability Support Research (4 papers), Virology and Viral Diseases (3 papers) and Child Development and Digital Technology (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.9k citations), Developmental and Educational Psychology (831 citations), Psychiatry and Mental health (493 citations), Clinical Psychology (563 citations) and Genetics (641 citations). Michelle Dunn has collaborated with scholars based in United States, Australia and Malaysia. Frequent co-authors include Isabelle Rapin, Deborah Fein, Doris Allen, Lynn Waterhouse, Carl Feinstein, Hilary Gomes, Michael C. Stevens, Miriam Liss, Judith S. Gravel and Robin D. Morris. Their work appears in journals such as Journal of Autism and Developmental Disorders, Metallurgical and Materials Transactions B, Developmental Neuropsychology, Child Neuropsychology and Ironmaking & Steelmaking Processes Products and Applications.

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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