Carolina da Motta

1.7k citations
40 papers · 295 indexed · h-index 10

Carolina da Motta

36 papers receiving 289 citations

Peers

Carolina da Motta
Comparison fields: 5 of 50
  • Clinical Psychology 223
  • Psychiatry and Mental health 73
  • Social Psychology 75
  • Experimental and Cognitive Psychology 41
  • Health 20
Replace Michele Berk with:
Michele Berk United States
Ryan Barnhart Canada
Avigal Snir Israel
Anthony Beckman United States
Maria Shannon United Kingdom
Robert Mestel Germany
Steve Pearce United Kingdom
Iana Wong Australia
Stelios Stylianidis Greece
Meltem Kora Türkiye
Carolina da Motta relative to Michele Berk United States Michele Berk's profile →
Citations per field
00.5×1.5×2.3×
Michele Berk · 1×
Citations per year

Countries citing papers authored by Carolina da Motta

Since Specialization
Citations

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

Fields of papers citing papers by Carolina da Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolina da Motta. 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 Carolina da Motta. The network helps show where Carolina da Motta may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Carolina da Motta, 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 Carolina da Motta Line = papers co-authored together Carolina da Motta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20238
3
Mindful Self-Care Scale (MSCS): psychometric study in a Portuguese Sample - Selfcare Journal
20210
4 20212
5 202024
6 20204
7 20201
8 20187
9 20171
10 201729
11 201514
12 201534
13 201514
14 20157
15
Paranoia as a Continuum in the Population
201410
16
DEVELOPMENT AND PSYCHOMETRIC PROPERTIES OF THE COMMUNITY INTEGRATION SCALE OF ADULTS WITH PSYCHIATRIC DISORDERS
20144
17 20146
18 20140
19 20144
20 20142

About Carolina da Motta

Carolina da Motta is a scholar working on Clinical Psychology, Psychiatry and Mental health and Social Psychology, having authored 40 papers that have together received 295 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (15 papers), Schizophrenia research and treatment (13 papers), Psychosomatic Disorders and Their Treatments (8 papers), Mental Health and Psychiatry (6 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (4 papers), Suicide and Self-Harm Studies (4 papers) and Mental Health Treatment and Access (4 papers). The work is most often cited by research in Clinical Psychology (223 citations), Psychiatry and Mental health (73 citations) and Social Psychology (75 citations). Carolina da Motta has collaborated with scholars based in Portugal, United States and Switzerland. Frequent co-authors include Célia Barreto Carvalho, José Pinto‐Gouveia, Joana Cabral, Daniel Rijo, Ermelindo Peixoto, Suzana Nunes Caldeira, Paula Castilho, Teresa Carvalho, Michele T. Pato and João Carlos Ramos. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Affective Disorders and Psychiatry Research.

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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2026