Trevor Swanson

592 total citations
23 papers, 202 citations indexed

About

Trevor Swanson is a scholar working on Clinical Psychology, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Trevor Swanson has authored 23 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 9 papers in Experimental and Cognitive Psychology and 8 papers in Social Psychology. Recurrent topics in Trevor Swanson's work include Eating Disorders and Behaviors (9 papers), Language, Metaphor, and Cognition (4 papers) and Obesity and Health Practices (4 papers). Trevor Swanson is often cited by papers focused on Eating Disorders and Behaviors (9 papers), Language, Metaphor, and Cognition (4 papers) and Obesity and Health Practices (4 papers). Trevor Swanson collaborates with scholars based in United States, Portugal and Germany. Trevor Swanson's co-authors include Mark J. Landau, Kelsie T. Forbush, Sarah Johnson, Chen‐Bo Zhong, Kara A. Christensen, Lucas A. Keefer, Matthew Baldwin, Jamie Arndt, Brianne N. Richson and Aaron C. Kay and has published in prestigious journals such as Nature Communications, Fertility and Sterility and Frontiers in Psychology.

In The Last Decade

Trevor Swanson

21 papers receiving 195 citations

Peers

Trevor Swanson

ECP

SPS

PHEOH

Mansour Amini Malaysia

Carlos A. Almenara Peru

Tanya Hawes Australia

Christopher L. Vowels United States

Alexander Danvers United States

Veya Seekis Australia

Jovita T. Leung United Kingdom

Gillian Kirsh Canada

Christian Rœsler Switzerland

Mansour Amini Malaysia

Trevor Swanson

71 ×1.0

36 ×0.5

ECP

37 ×0.7

31 ×0.9

SPS

22 ×0.8

PHEOH

Citations per year, relative to Trevor Swanson Trevor Swanson (= 1×) peers Mansour Amini

Countries citing papers authored by Trevor Swanson

Since Specialization

Citations

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

Fields of papers citing papers by Trevor Swanson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Swanson. 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 Trevor Swanson. The network helps show where Trevor Swanson may publish in the future.

Co-authorship network of co-authors of Trevor Swanson

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Swanson. A scholar is included among the top collaborators of Trevor Swanson 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 Trevor Swanson. Trevor Swanson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yao, Mylene, Elizabeth T. Nguyen, John E. Nichols, et al.. (2025). Machine learning center-specific models show improved IVF live birth predictions over US national registry-based model. Nature Communications. 16(1). 3661–3661. 1 indexed citations

Stella, Massimo, Trevor Swanson, Brianne N. Richson, et al.. (2025). Cognitive Networks and Text Analysis Identify Anxiety as a Key Dimension of Distress in Genuine Suicide Notes. Big Data and Cognitive Computing. 9(7). 171–171.

Nguyen, Elizabeth T., et al.. (2024). PREDICTING IVF LIVE BIRTH PROBABILITIES USING MACHINE LEARNING, CENTER-SPECIFIC AND NATIONAL REGISTRY-BASED MODELS. Fertility and Sterility. 122(4). e155–e156.

Yao, Mylene, et al.. (2024). Patient-Centric In Vitro Fertilization Prognostic Counseling Using Machine Learning for the Pragmatist. Seminars in Reproductive Medicine. 42(2). 112–129. 3 indexed citations

Kolar, David R., Christina Ralph‐Nearman, Trevor Swanson, & Cheri A. Levinson. (2024). Exercise moderates longitudinal group psychopathology networks in individuals with eating disorders. Comprehensive Psychiatry. 136. 152543–152543. 2 indexed citations

Yao, Mylene, Elizabeth T. Nguyen, Susannah D. Copland, et al.. (2024). Improving IVF Utilization with Patient-Centric Artificial Intelligence-Machine Learning (AI/ML): A Retrospective Multicenter Experience. Journal of Clinical Medicine. 13(12). 3560–3560. 2 indexed citations

Forbush, Kelsie T., Po‐Yi Chen, Brittany K. Bohrer, et al.. (2023). Integrating “Lumpers” Versus “Splitters” Perspectives: Toward a Hierarchical Dimensional Taxonomy of Eating Disorders From Clinician Ratings. Clinical Psychological Science. 12(4). 625–643. 5 indexed citations

Stella, Massimo, et al.. (2023). Polarization and multiscale structural balance in signed networks. Communications Physics. 6(1). 11 indexed citations

Forbush, Kelsie T., Brianne N. Richson, Trevor Swanson, et al.. (2022). Screening for eating disorders across genders in college students: Initial validation of the brief assessment of stress and eating. International Journal of Eating Disorders. 55(11). 1553–1564. 8 indexed citations

10.

Stella, Massimo, et al.. (2022). Cognitive networks detect structural patterns and emotional complexity in suicide notes. Frontiers in Psychology. 13. 917630–917630. 4 indexed citations

11.

Johnson, Sarah, Kelsie T. Forbush, & Trevor Swanson. (2022). The impact of discrimination on binge eating in a nationally representative sample of Latine individuals. International Journal of Eating Disorders. 55(8). 1120–1129. 3 indexed citations

12.

Johnson, Sarah, Kelsie T. Forbush, Trevor Swanson, & Kara A. Christensen. (2021). An empirical evaluation of the diagnostic threshold between full-threshold and sub-threshold bulimia nervosa. Eating Behaviors. 42. 101540–101540. 14 indexed citations

13.

Richson, Brianne N., Kelsie T. Forbush, Danielle A. N. Chapa, et al.. (2021). Measurement invariance of the Eating Pathology Symptoms Inventory (EPSI) in adolescents and adults. Eating Behaviors. 42. 101538–101538. 23 indexed citations

14.

Richson, Brianne N., Sarah Johnson, Trevor Swanson, et al.. (2021). Predicting probable eating disorder case-status in men using the Clinical Impairment Assessment: Evidence for a gender-specific threshold. Eating Behaviors. 42. 101541–101541. 7 indexed citations

15.

Landau, Mark J., et al.. (2019). Beneath the Surface: Abstract Construal Mindset Increases Receptivity to Metaphors in Health Communications. Social Cognition. 37(3). 314–340. 14 indexed citations

16.

Landau, Mark J., Chen‐Bo Zhong, & Trevor Swanson. (2017). Conceptual metaphors shape consumer psychology. 1(1). 54–71. 28 indexed citations

17.

Landau, Mark J., Lucas A. Keefer, & Trevor Swanson. (2017). “Undoing” a Rhetorical Metaphor: Testing the Metaphor Extension Strategy. Metaphor and Symbol. 32(2). 63–83. 10 indexed citations

18.

Baldwin, Matthew, Mark J. Landau, & Trevor Swanson. (2017). Metaphors can give life meaning. Self and Identity. 17(2). 163–193. 21 indexed citations

19.

Landau, Mark J., et al.. (2017). When and why does belief in a controlling God strengthen goal commitment?. Journal of Experimental Social Psychology. 75. 71–82. 23 indexed citations

20.

Swanson, Trevor. (2016). Time-Series Methods in Experimental Research. APS observer. 29(10). 1 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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