Steven William Kasparek

676 citations
19 papers · 361 indexed · h-index 11

Steven William Kasparek

16 papers receiving 355 citations

Peers

Steven William Kasparek
Comparison fields: 5 of 69
  • Clinical Psychology 208
  • Applied Psychology 29
  • Experimental and Cognitive Psychology 59
  • Behavioral Neuroscience 16
  • Cognitive Neuroscience 84
Replace Virgínia de Oliveira Rosa with:
Virgínia de Oliveira Rosa Brazil
Carlos E. Yegüez United States
Aleksandra Lecei Belgium
Kathleen I. Crum United States
Kaitlyn Breiner United States
Simon Byrne Australia
Alexa Negele Germany
Andrea Zagaria Italy
Sanne Oostermeijer Australia
Jennifer G. Pearlstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven William Kasparek

Since Specialization
Citations

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

Fields of papers citing papers by Steven William Kasparek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven William Kasparek. 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 Steven William Kasparek. The network helps show where Steven William Kasparek may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20250
2 20242
3 20240
4 20239
5 20230
6 202310
7 20223
8 202225
9 202217
10 202223
11 20222
12 202221
13 2021101
14 202139
15 202021
16 201810
17 201830
18 20186
19 201742

About Steven William Kasparek

Steven William Kasparek is a scholar working on General Psychology, Clinical Psychology and Applied Psychology, having authored 19 papers that have together received 361 indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (11 papers), COVID-19 and Mental Health (5 papers), Child Abuse and Trauma (5 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers), Attention Deficit Hyperactivity Disorder (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), Racial and Ethnic Identity Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Clinical Psychology (208 citations), Applied Psychology (29 citations) and Experimental and Cognitive Psychology (59 citations). Steven William Kasparek has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Katie A. McLaughlin, Maya L. Rosen, Alexandra M. Rodman, Andrew N. Meltzoff, Liliana J. Lengua, Philip Shaw, Gustavo Sudre, Wendy Sharp, Eszter Székely and Jessica L. Jenness. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Child Psychology and Psychiatry.

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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