Lauren E. Szkodny

768 citations
14 papers · 548 indexed · h-index 8

Lauren E. Szkodny

14 papers receiving 531 citations

Peers

Lauren E. Szkodny
Comparison fields: 5 of 70
  • Applied Psychology 295
  • Experimental and Cognitive Psychology 253
  • Clinical Psychology 245
  • Social Psychology 90
  • Human-Computer Interaction 17
Replace Amanda Díaz‐García with:
Amanda Díaz‐García Spain
Antoine Urech Switzerland
Lina Gega United Kingdom
Matthew M. Carper United States
Kiona K. Weisel Germany
Noah N. Emery United States
Carmen Russoniello United States
Jonas Almlöv Sweden
Wenceslao Peñate Castro Spain
Johannes Mander Germany
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Countries citing papers authored by Lauren E. Szkodny

Since Specialization
Citations

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

Fields of papers citing papers by Lauren E. Szkodny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren E. Szkodny. 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 Lauren E. Szkodny. The network helps show where Lauren E. Szkodny may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20241
2 20241
3 202310
4 20205
5 202010
6 201959
7 201725
8
Clinical Experiences in Conducting Empirically Supported Treatments for Generalized Anxiety Disorder
20151
9 20146
10 201328
11 20115
12 2010378
13 20108
14
Incidence of male childhood sexual abuse and psychological sequelae in disaster workers exposed to a terrorist attack.
200611

About Lauren E. Szkodny

Lauren E. Szkodny is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Clinical Psychology, having authored 14 papers that have together received 548 indexed citations. Recurring topics across this work include Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (6 papers), Mental Health Research Topics (5 papers), Child and Adolescent Psychosocial and Emotional Development (4 papers), Posttraumatic Stress Disorder Research (3 papers), Gastroesophageal reflux and treatments (2 papers), Gastrointestinal motility and disorders (2 papers), Digital Mental Health Interventions (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Applied Psychology (295 citations), Experimental and Cognitive Psychology (253 citations) and Clinical Psychology (245 citations). Lauren E. Szkodny has collaborated with scholars based in United States and Romania. Frequent co-authors include Michelle G. Newman, Amy Przeworski, Sandra J. Llera, Nur Hani Zainal, Ki Eun Shin, Martin J. Sliwinski, Nicholas C. Jacobson, Marvin R. Goldfried, Cezar Giosan and JoAnn Difede. Their work appears in journals such as Journal of Consulting and Clinical Psychology, Clinical Psychology Review and Clinical Gastroenterology and Hepatology.

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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