Saylor Miller

463 total citations
9 papers, 304 citations indexed

About

Saylor Miller is a scholar working on Clinical Psychology, Neurology and Applied Psychology. According to data from OpenAlex, Saylor Miller has authored 9 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Clinical Psychology, 7 papers in Neurology and 7 papers in Applied Psychology. Recurrent topics in Saylor Miller's work include COVID-19 and Mental Health (9 papers), Digital Mental Health Interventions (7 papers) and Long-Term Effects of COVID-19 (7 papers). Saylor Miller is often cited by papers focused on COVID-19 and Mental Health (9 papers), Digital Mental Health Interventions (7 papers) and Long-Term Effects of COVID-19 (7 papers). Saylor Miller collaborates with scholars based in Australia, China and United States. Saylor Miller's co-authors include Stephen X. Zhang, Andrew Delios, Allen Yin, Xue Wan, Rebecca Kechen Dong, Wen Xu, Richard Z. Chen, Bryan Z. Chen, Jiyao Chen and Wenping Ye and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Psychiatry and Clinical Neurosciences and European journal of psychotraumatology.

In The Last Decade

Saylor Miller

9 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saylor Miller Australia	8	237	83	77	59	53	9	304
Xue Wan Australia	9	244 1.0×	83 1.0×	78 1.0×	59 1.0×	54 1.0×	11	332
Bryan Z. Chen Australia	9	256 1.1×	87 1.0×	85 1.1×	67 1.1×	59 1.1×	11	327
Xiao-Meng Wang China	5	230 1.0×	63 0.8×	75 1.0×	50 0.8×	38 0.7×	15	334
Panteleimon Voitsidis Greece	6	335 1.4×	117 1.4×	66 0.9×	48 0.8×	43 0.8×	6	390
Lucy A. Matson Australia	4	270 1.1×	64 0.8×	76 1.0×	37 0.6×	25 0.5×	6	345
Taylor L. Swain Australia	2	266 1.1×	64 0.8×	62 0.8×	31 0.5×	25 0.5×	4	328
Helal Uddin Ahmed United Kingdom	4	313 1.3×	79 1.0×	108 1.4×	49 0.8×	42 0.8×	5	373
Margaret R. Bullerjahn United States	4	262 1.1×	76 0.9×	109 1.4×	58 1.0×	22 0.4×	4	336
Julian Maciaszek Poland	8	199 0.8×	86 1.0×	53 0.7×	21 0.4×	32 0.6×	23	296

Countries citing papers authored by Saylor Miller

Since Specialization

Citations

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

Fields of papers citing papers by Saylor Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saylor Miller

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

All Works

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9 of 9 papers shown

Zhang, Stephen X., Kavita Batra, Wen Xu, et al.. (2022). Mental Disorder Symptoms during the COVID-19 Pandemic in Latin America – A Systematic Review and Meta-analysis. Digital Scholarship - UNLV (University of Nevada Reno). 53 indexed citations

Zhang, Stephen X., Richard Z. Chen, Wen Xu, et al.. (2022). A Systematic Review and Meta-Analysis of Symptoms of Anxiety, Depression, and Insomnia in Spain in the COVID-19 Crisis. International Journal of Environmental Research and Public Health. 19(2). 1018–1018. 46 indexed citations

Zhang, Stephen X., Saylor Miller, Wen Xu, et al.. (2022). Meta-analytic evidence of depression and anxiety in Eastern Europe during the COVID-19 pandemic. European journal of psychotraumatology. 13(1). 2000132–2000132. 48 indexed citations

Pappa, Sofia, Jiyao Chen, Rebecca Kechen Dong, et al.. (2021). A systematic review and meta‐analysis of the mental health symptoms during the Covid‐19 pandemic in S outheast A sia. Psychiatry and Clinical Neurosciences. 76(2). 41–50. 51 indexed citations

Chen, Jiyao, Nusrat Farah, Rebecca Kechen Dong, et al.. (2021). Mental Health during the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health. 18(20). 10604–10604. 67 indexed citations

Zhang, Stephen X., Kavita Batra, Tao Liu, et al.. (2021). Meta-Analytical Evidence on Mental Disorder Symptoms During the COVID-19 Pandemic in Latin America. SSRN Electronic Journal. 5 indexed citations

Pappa, Sofia, Jiyao Chen, Rebecca Kechen Dong, et al.. (2021). A Systematic Review and Meta-Analysis of the Mental Health Symptoms during the Covid-19 Pandemic in Southeast Asia. medRxiv. 11 indexed citations

Chen, Richard Z., Stephen X. Zhang, Wen Xu, et al.. (2021). A Systematic Review and Meta-Analysis on Mental Illness Symptoms in Spain in the COVID-19 Crisis. medRxiv. 8 indexed citations

Chen, Jiyao, Nusrat Farah, Rebecca Kechen Dong, et al.. (2021). The Mental Health Under the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis. medRxiv. 15 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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