Kim D. Dorsch

1.3k total citations
34 papers, 1.0k citations indexed

About

Kim D. Dorsch is a scholar working on Social Psychology, Developmental and Educational Psychology and Orthopedics and Sports Medicine. According to data from OpenAlex, Kim D. Dorsch has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Social Psychology, 13 papers in Developmental and Educational Psychology and 6 papers in Orthopedics and Sports Medicine. Recurrent topics in Kim D. Dorsch's work include Sport Psychology and Performance (13 papers), Motivation and Self-Concept in Sports (11 papers) and Sports Performance and Training (4 papers). Kim D. Dorsch is often cited by papers focused on Sport Psychology and Performance (13 papers), Motivation and Self-Concept in Sports (11 papers) and Sports Performance and Training (4 papers). Kim D. Dorsch collaborates with scholars based in Canada, United States and United Kingdom. Kim D. Dorsch's co-authors include Donald R. McCreary, Deborah M. Saucier, David M. Paskevich, Lawrence R. Brawley, W. Neil Widmeyer, Richard Hovey, Jennifer Brunet, Catherine M. Sabiston, Daniel Rhind and Stéphanie Grenier and has published in prestigious journals such as Journal of Neurophysiology, Journal of Adolescent Health and The Journal of Strength and Conditioning Research.

In The Last Decade

Kim D. Dorsch

32 papers receiving 933 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kim D. Dorsch Canada 16 383 268 195 194 121 34 1.0k
Jochen Mayer Germany 16 190 0.5× 144 0.5× 161 0.8× 149 0.8× 107 0.9× 40 856
Mariusz Lipowski Poland 17 279 0.7× 148 0.6× 76 0.4× 114 0.6× 34 0.3× 72 708
Sarah J. Woodruff Canada 25 391 1.0× 102 0.4× 434 2.2× 915 4.7× 57 0.5× 70 1.8k
Eva Pila Canada 23 1.0k 2.7× 391 1.5× 123 0.6× 188 1.0× 90 0.7× 72 1.4k
Zali Yager Australia 20 906 2.4× 137 0.5× 76 0.4× 335 1.7× 110 0.9× 64 1.4k
Fabienne d’Arripe-Longueville France 21 211 0.6× 596 2.2× 369 1.9× 91 0.5× 59 0.5× 99 1.4k
Mariona Portell Spain 18 337 0.9× 157 0.6× 126 0.6× 139 0.7× 11 0.1× 52 964
Brandonn S. Harris United States 15 223 0.6× 311 1.2× 269 1.4× 58 0.3× 49 0.4× 39 791
Andy Daly-Smith United Kingdom 16 84 0.2× 131 0.5× 497 2.5× 415 2.1× 57 0.5× 52 1.0k
Vicki Ebbeck United States 20 261 0.7× 628 2.3× 341 1.7× 143 0.7× 49 0.4× 48 1.2k

Countries citing papers authored by Kim D. Dorsch

Since Specialization
Citations

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

Fields of papers citing papers by Kim D. Dorsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim D. Dorsch. 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 Kim D. Dorsch. The network helps show where Kim D. Dorsch may publish in the future.

Co-authorship network of co-authors of Kim D. Dorsch

This figure shows the co-authorship network connecting the top 25 collaborators of Kim D. Dorsch. A scholar is included among the top collaborators of Kim D. Dorsch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim D. Dorsch. Kim D. Dorsch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dorsch, Kim D., et al.. (2024). Sport-related concussion alters cerebral hemodynamic activity during controlled respiration. Journal of Neurophysiology. 131(3). 556–561.
2.
Reikvam, Håkon, Geir Hetland, Kim D. Dorsch, et al.. (2023). Safety of hypoxic red blood cell administration in patients with transfusion-dependent hematological malignancies: An interim analysis. Transfusion and Apheresis Science. 62(5). 103755–103755. 3 indexed citations
3.
Krätzig, Gregory P., et al.. (2023). Differences in Heart Rate Variability and Baroreflex Sensitivity between Male and Female Athletes. Journal of Clinical Medicine. 12(12). 3916–3916. 5 indexed citations
4.
Krätzig, Gregory P., et al.. (2022). Alterations in Baroreflex Sensitivity and Blood Pressure Variability Following Sport-Related Concussion. Life. 12(9). 1400–1400. 10 indexed citations
5.
Harenberg, Sebastian, et al.. (2020). Effectiveness of Three-Dimensional Multiple-Object Tracking in Patients with Multiple Sclerosis. International Journal of MS Care. 23(4). 143–149. 3 indexed citations
6.
Dorsch, Kim D., et al.. (2017). Softball coaches' perceptions of athlete entitlement. 49(1). 77–77. 1 indexed citations
7.
Dorsch, Kim D., et al.. (2017). Exploring the effect of simulated crowd noise on multiple object tracking performance in usport football athletes. 49(1). 104–104.
8.
Harenberg, Sebastian, et al.. (2016). All for one, but not one for all? Positional competition and cohesion in interdependent sport teams. Journal of Sport and Exercise Psychology. 38. 1 indexed citations
9.
Harenberg, Sebastian, et al.. (2015). Factorial Validity and Gender Invariance of the Center for Epidemiological Studies Depression in Cardiac Rehabilitation Patients. Journal of Cardiopulmonary Rehabilitation and Prevention. 35(5). 320–327. 5 indexed citations
10.
Dorsch, Kim D., et al.. (2013). Monitoring in Youth Sport: A Paradigm Shift. Surveillance & Society. 11(4). 508–520. 1 indexed citations
11.
Dorsch, Kim D., et al.. (2010). The youth sport environment: A descriptive analysis. 42(1). 158–158. 1 indexed citations
12.
Brunet, Jennifer, Catherine M. Sabiston, Kim D. Dorsch, & Donald R. McCreary. (2010). Exploring a model linking social physique anxiety, drive for muscularity, drive for thinness and self-esteem among adolescent boys and girls. Body Image. 7(2). 137–142. 76 indexed citations
13.
Dorsch, Kim D., et al.. (2009). Athlete Satisfaction and Leadership: Assessing Group-Level Effects. Small Group Research. 40(6). 720–737. 11 indexed citations
14.
Candow, Darren G., et al.. (2009). Effect of Sugar-Free Red Bull Energy Drink on High-Intensity Run Time-to-Exhaustion in Young Adults. The Journal of Strength and Conditioning Research. 23(4). 1271–1275. 67 indexed citations
15.
Cismaru, Magdalena, Anne M. Lavack, Heather D. Hadjistavropoulos, & Kim D. Dorsch. (2008). Understanding Health Behavior: An Integrated Model for Social Marketers. Social Marketing Quarterly. 14(2). 2–32. 23 indexed citations
16.
Schinke, Robert J., David J. Hancock, Nicole Dubuc, & Kim D. Dorsch. (2006). Looking to the Future of Sport Psychology: An Introduction. 2 indexed citations
17.
Dorsch, Kim D., et al.. (2005). Dietary supplement use in adolescents. Current Opinion in Pediatrics. 17(5). 653–657. 40 indexed citations
18.
McCreary, Donald R., et al.. (2004). Measuring the Drive for Muscularity: Factorial Validity of the Drive for Muscularity Scale in Men and Women.. Psychology of Men & Masculinity. 5(1). 49–58. 263 indexed citations
19.
Jones, Lee W., Jocelyn M. Farrell, John Jamieson, & Kim D. Dorsch. (2003). Factors influencing enrollment in a cardiac rehabilitation exercise program.. PubMed. 13(1). 11–5. 12 indexed citations
20.
Paskevich, David M., Lawrence R. Brawley, Kim D. Dorsch, & W. Neil Widmeyer. (1999). Relationship between collective efficacy and team cohesion: Conceptual and measurement issues.. Group Dynamics Theory Research and Practice. 3(3). 210–222. 7 indexed citations

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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