William T. Merkel

33 total papers · 452 total citations
26 papers, 344 citations indexed

About

William T. Merkel is a scholar working on Clinical Psychology, Social Psychology and General Health Professions. According to data from OpenAlex, William T. Merkel has authored 26 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Clinical Psychology, 8 papers in Social Psychology and 8 papers in General Health Professions. Recurrent topics in William T. Merkel's work include Counseling, Therapy, and Family Dynamics (6 papers), Attachment and Relationship Dynamics (5 papers) and Psychotherapy Techniques and Applications (4 papers). William T. Merkel is often cited by papers focused on Counseling, Therapy, and Family Dynamics (6 papers), Attachment and Relationship Dynamics (5 papers) and Psychotherapy Techniques and Applications (4 papers). William T. Merkel collaborates with scholars based in United States and Belgium. William T. Merkel's co-authors include C. Alec Pollard, Ronald B. Margolis, Robert C. Smith, Paul N. Duckro, H. Russell Searight, Stewart G. Albert, Richard L. Wiener, Barry Nierenberg, Linda Jean Carpenter and J. Gibson Henderson and has published in prestigious journals such as Social Science & Medicine, Journal of Affective Disorders and Medical Care.

In The Last Decade

William T. Merkel

25 papers receiving 304 citations

Author Peers

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

Author Last Decade Papers Cites
William T. Merkel 152 89 66 59 50 26 344
C. Carolyn Thiedke 64 0.4× 108 1.2× 63 1.0× 49 0.8× 109 2.2× 20 390
Keren Michael 138 0.9× 187 2.1× 53 0.8× 104 1.8× 59 1.2× 20 387
Paul J. Hershberger 104 0.7× 105 1.2× 23 0.3× 91 1.5× 74 1.5× 35 354
T.G. Sriram 127 0.8× 88 1.0× 154 2.3× 111 1.9× 39 0.8× 18 373
Gordon D. Strauss 126 0.8× 53 0.6× 56 0.8× 50 0.8× 35 0.7× 21 331
Guiying You 122 0.8× 125 1.4× 34 0.5× 22 0.4× 45 0.9× 25 390
Jue Hua Lau 92 0.6× 112 1.3× 48 0.7× 58 1.0× 57 1.1× 26 298
Allen J. Enelow 50 0.3× 75 0.8× 52 0.8× 28 0.5× 71 1.4× 26 317
Lucy Zabarenko 109 0.7× 94 1.1× 36 0.5× 87 1.5× 32 0.6× 21 319
Richard F. Summers 174 1.1× 90 1.0× 21 0.3× 86 1.5× 41 0.8× 22 318

Countries citing papers authored by William T. Merkel

Since Specialization
Citations

This map shows the geographic impact of William T. Merkel'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 William T. Merkel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Merkel more than expected).

Fields of papers citing papers by William T. Merkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Merkel. 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 William T. Merkel. The network helps show where William T. Merkel may publish in the future.

Co-authorship network of co-authors of William T. Merkel

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Merkel. A scholar is included among the top collaborators of William T. Merkel 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 William T. Merkel. William T. Merkel 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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