Peter D. Soyster

603 total citations
17 papers, 304 citations indexed

About

Peter D. Soyster is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and Clinical Psychology. According to data from OpenAlex, Peter D. Soyster has authored 17 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 8 papers in Applied Psychology and 4 papers in Clinical Psychology. Recurrent topics in Peter D. Soyster's work include Mental Health Research Topics (12 papers), Behavioral Health and Interventions (5 papers) and Digital Mental Health Interventions (4 papers). Peter D. Soyster is often cited by papers focused on Mental Health Research Topics (12 papers), Behavioral Health and Interventions (5 papers) and Digital Mental Health Interventions (4 papers). Peter D. Soyster collaborates with scholars based in United States, Netherlands and Belgium. Peter D. Soyster's co-authors include Aaron J. Fisher, Hannah G. Bosley, Jonathan W. Reeves, Allison Diamond, Katya C. Fernandez, Gerald J. Haeffel, Bertus F. Jeronimus, Iván Vargas, Lesley Jo Weaver and Bonnie N. Kaiser and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biological Psychiatry.

In The Last Decade

Peter D. Soyster

17 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter D. Soyster United States	10	207	130	80	56	37	17	304
Alessandro Pompoli Japan	9	214 1.0×	138 1.1×	100 1.3×	38 0.7×	49 1.3×	13	353
William H. Craft United States	10	111 0.5×	66 0.5×	150 1.9×	65 1.2×	20 0.5×	27	366
Henrietta Steinhart Netherlands	6	140 0.7×	88 0.7×	122 1.5×	41 0.7×	77 2.1×	8	263
Lindsey K. Freeman United States	11	137 0.7×	180 1.4×	33 0.4×	63 1.1×	75 2.0×	25	340
Andrea M. Wycoff United States	10	146 0.7×	224 1.7×	78 1.0×	25 0.4×	71 1.9×	30	416
Elana Schwartz United States	9	120 0.6×	63 0.5×	37 0.5×	93 1.7×	137 3.7×	20	288
Christien Slofstra Netherlands	7	114 0.6×	105 0.8×	28 0.3×	63 1.1×	55 1.5×	11	250
Inés Nieto Spain	7	361 1.7×	185 1.4×	49 0.6×	180 3.2×	67 1.8×	19	483
Irena Milosevic Canada	9	177 0.9×	210 1.6×	56 0.7×	76 1.4×	43 1.2×	21	343
Fionneke M. Bos Netherlands	9	320 1.5×	86 0.7×	133 1.7×	143 2.6×	79 2.1×	16	393

Countries citing papers authored by Peter D. Soyster

Since Specialization

Citations

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

Fields of papers citing papers by Peter D. Soyster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter D. Soyster

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

All Works

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17 of 17 papers shown

Soyster, Peter D., et al.. (2024). Person-specific and pooled prediction models for binge eating, alcohol use and binge drinking in bulimia nervosa and alcohol use disorder. Psychological Medicine. 54(10). 2758–2773. 5 indexed citations

Soyster, Peter D., et al.. (2023). Modeling Idiographic Longitudinal Relationships between Affect and Cigarette Use: An Ecological Momentary Assessment Study. Substance Use & Misuse. 58(14). 1883–1894. 1 indexed citations

Soyster, Peter D., et al.. (2022). Clinician Opinions: Perceived Utility of and Barriers to Incorporating Pretreatment Ecological Momentary Assessment Into Clinical Care. Behavior Therapy. 54(2). 200–213. 3 indexed citations

Haeffel, Gerald J., Bertus F. Jeronimus, Aaron J. Fisher, et al.. (2022). The Hierarchical Taxonomy of Psychopathology (HiTOP) Is Not an Improvement Over the DSM. Clinical Psychological Science. 10(2). 285–290. 21 indexed citations

Soyster, Peter D., et al.. (2021). Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.. Psychology of Addictive Behaviors. 36(3). 296–306. 25 indexed citations

Fisher, Aaron J., Jiyoung Song, & Peter D. Soyster. (2021). Toward a systems‐based approach to understanding the role of the sympathetic nervous system in depression. World Psychiatry. 20(2). 295–296. 10 indexed citations

Haeffel, Gerald J., Bertus F. Jeronimus, Bonnie N. Kaiser, et al.. (2021). Folk Classification and Factor Rotations: Whales, Sharks, and the Problems With the Hierarchical Taxonomy of Psychopathology (HiTOP). Clinical Psychological Science. 10(2). 259–278. 35 indexed citations

Fisher, Aaron, et al.. (2021). Machine Learning Algorithms for Generating Early Warning Signals in Real Time. Biological Psychiatry. 89(9). S58–S59. 3 indexed citations

Fisher, Aaron J., et al.. (2020). Pooled and Person-Specific Machine Learning Models for Predicting Future Alcohol Consumption, Craving, and Wanting to Drink: A Demonstration of Parallel Utility. Psychology of Addictive Behaviors. 1 indexed citations

10.

Soyster, Peter D., et al.. (2019). Evidence for the Feasibility of Person-Specific Ecological Momentary Assessment Across Diverse Populations and Study Designs. SHILAP Revista de lepidopterología. 5(2). 53–64. 19 indexed citations

11.

Bosley, Hannah G., Peter D. Soyster, & Aaron J. Fisher. (2019). Affect Dynamics as Predictors of Symptom Severity and Treatment Response in Mood and Anxiety Disorders: Evidence for Specificity. SHILAP Revista de lepidopterología. 5(2). 101–113. 30 indexed citations

12.

Fisher, Aaron J., Hannah G. Bosley, Katya C. Fernandez, et al.. (2019). Open trial of a personalized modular treatment for mood and anxiety. Behaviour Research and Therapy. 116. 69–79. 99 indexed citations

13.

Wells, Jenna L., Casey L. Brown, Alice Y. Hua, et al.. (2019). Neurodegenerative Disease Caregivers’ 5-HTTLPR Genotype Moderates the Effect of Patients’ Empathic Accuracy Deficits on Caregivers’ Well-Being. American Journal of Geriatric Psychiatry. 27(10). 1046–1056. 9 indexed citations

14.

Pearlstein, Jennifer G. & Peter D. Soyster. (2019). Supervisory experiences of trainees with disabilities: The good, the bad, and the realistic.. Training and Education in Professional Psychology. 13(3). 194–199. 4 indexed citations

15.

Soyster, Peter D. & Aaron J. Fisher. (2019). Involving stakeholders in the design of ecological momentary assessment research: An example from smoking cessation. PLoS ONE. 14(5). e0217150–e0217150. 22 indexed citations

16.

Soyster, Peter D., et al.. (2016). Correlates of nicotine withdrawal severity in smokers during a smoke-free psychiatric hospitalization. Preventive Medicine. 92. 176–182. 14 indexed citations

17.

Morabito, Danielle M., et al.. (2016). A Review of Recent Advances in the Therapeutic Uses of Secondary Cannabinoids. Current Addiction Reports. 3(2). 230–238. 3 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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