Erika M. Shearer

416 total citations
10 papers, 273 citations indexed

About

Erika M. Shearer is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Social Psychology. According to data from OpenAlex, Erika M. Shearer has authored 10 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Public Health, Environmental and Occupational Health and 3 papers in Social Psychology. Recurrent topics in Erika M. Shearer's work include Telemedicine and Telehealth Implementation (5 papers), Patient Satisfaction in Healthcare (3 papers) and Counseling Practices and Supervision (2 papers). Erika M. Shearer is often cited by papers focused on Telemedicine and Telehealth Implementation (5 papers), Patient Satisfaction in Healthcare (3 papers) and Counseling Practices and Supervision (2 papers). Erika M. Shearer collaborates with scholars based in United States and Canada. Erika M. Shearer's co-authors include Sari D. Gold, Dennis K. Kinney, Catherine Riffin, Robert N. Butler, Bradford Felker, Meghan M. McGinn, Sasha M. Rojas, Russell A. McCann, Patrick Sylvers and Natalie Glover and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Psychology and Clinical Journal of Pain.

In The Last Decade

Erika M. Shearer

10 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika M. Shearer United States 7 118 107 68 59 55 10 273
Mahdi Razafsha United States 9 104 0.9× 93 0.9× 59 0.9× 49 0.8× 40 0.7× 12 322
Benjamin Weinstein United States 10 45 0.4× 94 0.9× 27 0.4× 65 1.1× 43 0.8× 24 308
Ana Carolina Peuker Brazil 10 63 0.5× 95 0.9× 40 0.6× 84 1.4× 40 0.7× 37 382
Manyun Li China 9 34 0.3× 121 1.1× 12 0.2× 102 1.7× 57 1.0× 25 312
Zhizhong Guan China 5 34 0.3× 294 2.7× 63 0.9× 27 0.5× 61 1.1× 14 414
Nerea M. Casado‐Espada Spain 8 50 0.4× 194 1.8× 19 0.3× 24 0.4× 35 0.6× 10 336
Ying Geng China 6 21 0.2× 59 0.6× 33 0.5× 28 0.5× 61 1.1× 10 296
Cecilia Casetta United Kingdom 11 54 0.5× 64 0.6× 34 0.5× 35 0.6× 23 0.4× 25 356
James A. Yonker United States 9 144 1.2× 113 1.1× 8 0.1× 86 1.5× 20 0.4× 16 320
Liuyi Ran China 8 14 0.1× 285 2.7× 41 0.6× 55 0.9× 87 1.6× 17 404

Countries citing papers authored by Erika M. Shearer

Since Specialization
Citations

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

Fields of papers citing papers by Erika M. Shearer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erika M. Shearer. 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 Erika M. Shearer. The network helps show where Erika M. Shearer may publish in the future.

Co-authorship network of co-authors of Erika M. Shearer

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

All Works

10 of 10 papers shown
1.
Shearer, Erika M., et al.. (2024). Perspectives of Psychology Supervisors and Trainees: Implications for Supervision and Telesupervision. Journal of Technology in Behavioral Science. 9(1). 68–82. 2 indexed citations
2.
Felker, Bradford, Meghan M. McGinn, Erika M. Shearer, et al.. (2021). Implementation of a Telemental Health Training Program Across a Mental Health Department. SHILAP Revista de lepidopterología. 2(1). 26–31. 7 indexed citations
3.
Shearer, Erika M., et al.. (2019). Telemental health training in the Veterans Administration Puget Sound Health Care System. Journal of Clinical Psychology. 76(6). 1108–1124. 16 indexed citations
4.
Shearer, Erika M., et al.. (2019). An exploration of supervision delivered via clinical video telehealth (CVT).. Training and Education in Professional Psychology. 13(4). 323–330. 35 indexed citations
5.
McGinn, Meghan M., et al.. (2019). Recommendations for Using Clinical Video Telehealth with Patients at High Risk for Suicide. Psychiatric Clinics of North America. 42(4). 587–595. 25 indexed citations
6.
Gold, Sari D., et al.. (2019). Identifying and addressing mental health providers’ perceived barriers to clinical video telehealth utilization. Journal of Clinical Psychology. 76(6). 1125–1134. 80 indexed citations
7.
Shearer, Erika M., et al.. (2019). mHealth 101: an Introductory Guide for Mobile Apps in Clinical Practice. Journal of Technology in Behavioral Science. 4(2). 162–169. 5 indexed citations
8.
Glover, Natalie, Patrick Sylvers, Erika M. Shearer, et al.. (2016). The efficacy of Focused Acceptance and Commitment Therapy in VA primary care.. Psychological Services. 13(2). 156–161. 25 indexed citations
9.
Duckworth, Melanie P., et al.. (2013). MPI Profile Classifications and Associated Clinical Findings Among Litigating Motor Vehicle Collision Patients. Clinical Journal of Pain. 30(10). 860–868. 2 indexed citations
10.

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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