Julia García-Escalera

791 citations
17 papers · 533 indexed · h-index 11

Julia García-Escalera

17 papers receiving 512 citations

Peers

Julia García-Escalera
Comparison fields: 5 of 52
  • Clinical Psychology 411
  • Applied Psychology 78
  • Social Psychology 205
  • Experimental and Cognitive Psychology 122
  • Education 91
Replace Yesica Albor with:
Yesica Albor Mexico
Raúl A. Gutiérrez–García Mexico
Megan M. Schad United States
Abbas Abolghasemi Iran
Tamsyn Gilbertson Australia
Henry Xiao United States
Emily Johnson United States
D. Martin Kivlighan United States
Daryl Chow United States
Jac J. W. Andrews Canada
Julia García-Escalera relative to Yesica Albor Mexico Yesica Albor's profile →
Citations per field
00.5×3.8×
Yesica Albor · 1×
Citations per year

Countries citing papers authored by Julia García-Escalera

Since Specialization
Citations

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

Fields of papers citing papers by Julia García-Escalera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia García-Escalera. 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 Julia García-Escalera. The network helps show where Julia García-Escalera may publish in the future.

Co-authorship network

The 9 scholars most cited alongside Julia García-Escalera, 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 Julia García-Escalera Line = papers co-authored together Julia García-Escalera links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20243
2 20222
3 20222
4 202223
5 202127
6 20217
7 20204
8 202053
9 202019
10 2020197
11 202024
12 202014
13 201946
14 20197
15 201823
16 201760
17 201722

About Julia García-Escalera

Julia García-Escalera is a scholar working on Applied Psychology, Clinical Psychology and Experimental and Cognitive Psychology, having authored 17 papers that have together received 533 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (10 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (5 papers), COVID-19 and Mental Health (4 papers), Stress and Burnout Research (4 papers), Digital Mental Health Interventions (4 papers), Mental Health Research Topics (4 papers), Psychological Well-being and Life Satisfaction (3 papers) and Early Childhood Education and Development (3 papers). The work is most often cited by research in Clinical Psychology (411 citations), Applied Psychology (78 citations) and Social Psychology (205 citations). Julia García-Escalera has collaborated with scholars based in Spain and United States. Frequent co-authors include Paloma Chorot, Rosa M. Valiente, Bonifacio Sandín, Jill Ehrenreich‐May, A. Fernandez Prieto, Daniel M. Campagne, Sandra Arnáez, Sarah M. Kennedy and David Pineda. Their work appears in journals such as Behaviour Research and Therapy, International Journal of Environmental Research and Public Health and Frontiers in 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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