Steven R. Tally

25 total papers · 734 total citations
18 papers, 566 citations indexed

About

Steven R. Tally is a scholar working on General Health Professions, Clinical Psychology and Epidemiology. According to data from OpenAlex, Steven R. Tally has authored 18 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in General Health Professions, 4 papers in Clinical Psychology and 4 papers in Epidemiology. Recurrent topics in Steven R. Tally's work include Ophthalmology and Visual Impairment Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Steven R. Tally is often cited by papers focused on Ophthalmology and Visual Impairment Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Child and Adolescent Psychosocial and Emotional Development (2 papers). Steven R. Tally collaborates with scholars based in United States and China. Steven R. Tally's co-authors include Ellen Greenberger, Chuansheng Chen, Qi Dong, Erik J. Groessl, Robert M. Kaplan, Théodore G. Ganiats, Lin Liu, Andrew J. Sarkin, R. Wirth and Robert Morlock and has published in prestigious journals such as Journal of Consulting and Clinical Psychology, Medicine & Science in Sports & Exercise and Journal of Clinical Epidemiology.

In The Last Decade

Steven R. Tally

17 papers receiving 514 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Steven R. Tally	273	124	117	112	92	18	566
Seelam Bharani	166 0.6×	227 1.8×	67 0.6×	92 0.8×	228 2.5×	22	646
Julia Shearn	327 1.2×	19 0.2×	149 1.3×	141 1.3×	103 1.1×	21	615
Mélanie Varin	421 1.5×	134 1.1×	67 0.6×	81 0.7×	35 0.4×	28	667
Yangfeng Guo	184 0.7×	45 0.4×	138 1.2×	117 1.0×	257 2.8×	28	699
Saul Levin	329 1.2×	66 0.5×	101 0.9×	19 0.2×	25 0.3×	30	669
Tammy Tam	109 0.4×	64 0.5×	79 0.7×	10 0.1×	326 3.5×	17	663
Marianne Bang Hansen	450 1.6×	49 0.4×	96 0.8×	12 0.1×	95 1.0×	32	669
Sheila Williams	264 1.0×	74 0.6×	37 0.3×	91 0.8×	111 1.2×	15	609
Josephine Wong	275 1.0×	139 1.1×	40 0.3×	23 0.2×	31 0.3×	12	599
L Richard	233 0.9×	93 0.8×	121 1.0×	66 0.6×	63 0.7×	23	604

Countries citing papers authored by Steven R. Tally

Since Specialization

Citations

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

Fields of papers citing papers by Steven R. Tally

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven R. Tally. 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 Steven R. Tally. The network helps show where Steven R. Tally may publish in the future.

Co-authorship network of co-authors of Steven R. Tally

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

All Works

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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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