Madeline B. Harms

2.1k citations
15 papers · 1.5k indexed · 1 hit paper · h-index 11

Madeline B. Harms

15 papers receiving 1.5k citations

Hit Papers

Facial Emotion Recognition in Autism Spectrum Disorders: ...7512010202620152020250500750

Peers

Madeline B. Harms
Comparison fields: 5 of 89
  • Cognitive Neuroscience 1.1k
  • Clinical Psychology 630
  • Developmental and Educational Psychology 336
  • Psychiatry and Mental health 256
  • Behavioral Neuroscience 56
Replace Stephen J. Sheinkopf with:
Stephen J. Sheinkopf United States
Natasha Marrus United States
Susan Faja United States
Catherine Mortimore United Kingdom
Miho Kuroda Japan
Wouter B. Groen Netherlands
Heracles Panagiotides United States
Emily Neuhaus United States
Karla Holmboe United Kingdom
Amandine Lassalle Sweden
Madeline B. Harms relative to Stephen J. Sheinkopf United States Stephen J. Sheinkopf's profile →
Citations per field
00.5×1.5×
Stephen J. Sheinkopf · 1×
Citations per year

Countries citing papers authored by Madeline B. Harms

Since Specialization
Citations

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

Fields of papers citing papers by Madeline B. Harms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Madeline B. Harms. 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 Madeline B. Harms. The network helps show where Madeline B. Harms may publish in the future.

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20244
2 20232
3 202326
4 20238
5 20213
6 201968
7 201790
8 201736
9 201744
10 201453
11 201370
12 201396
13 2011105
14
Facial Emotion Recognition in Autism Spectrum Disorders: A Review of Behavioral and Neuroimaging Studiesbreakdown →
2010751
15 2009149

About Madeline B. Harms

Madeline B. Harms is a scholar working on Behavioral Neuroscience, General Decision Sciences and Clinical Psychology, having authored 15 papers that have together received 1.5k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (6 papers), Autism Spectrum Disorder Research (4 papers), Early Childhood Education and Development (3 papers), Child Abuse and Trauma (3 papers), Child and Animal Learning Development (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Stress Responses and Cortisol (2 papers) and Face Recognition and Perception (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Clinical Psychology (630 citations) and Developmental and Educational Psychology (336 citations). Madeline B. Harms has collaborated with scholars based in United States and Germany. Frequent co-authors include Gregory L. Wallace, Alex Martin, Lauren Kenworthy, Laura K. Case, Stephanie M. Carlson, Seth D. Pollak, Melissa A. Koenig, Jamie L. Hanson, Jennifer A. Silvers and Karina Quevedo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Affective Disorders and Cognitive Psychology.

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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