William M. Liu

44 total papers · 891 total citations
18 papers, 437 citations indexed

About

William M. Liu is a scholar working on Social Psychology, Sociology and Political Science and General Psychology. According to data from OpenAlex, William M. Liu has authored 18 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 8 papers in Sociology and Political Science and 4 papers in General Psychology. Recurrent topics in William M. Liu's work include Counseling Practices and Supervision (7 papers), Racial and Ethnic Identity Research (6 papers) and Academic and Historical Perspectives in Psychology (4 papers). William M. Liu is often cited by papers focused on Counseling Practices and Supervision (7 papers), Racial and Ethnic Identity Research (6 papers) and Academic and Historical Perspectives in Psychology (4 papers). William M. Liu collaborates with scholars based in United States. William M. Liu's co-authors include Donald B. Pope‐Davis, Rebecca L. Toporek, Jonathan Nevitt, Daniela Ligiero, Michael Ramsay Bashshur, Christopher T. H. Liang, Daniel L. Clay, Ethan Sahker, Carrie A. Morris and Walter P. Vispoel and has published in prestigious journals such as Journal of Counseling Psychology, Professional Psychology Research and Practice and The Counseling Psychologist.

In The Last Decade

William M. Liu

17 papers receiving 369 citations

Author Peers

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

Author						Papers	Cites
William M. Liu	264	191	177	78	74	18	437
Ingrid Grieger	277 1.0×	144 0.8×	137 0.8×	87 1.1×	37 0.5×	11	428
Carlota Ocampo	153 0.6×	243 1.3×	274 1.5×	62 0.8×	29 0.4×	13	472
Man Keung Ho	210 0.8×	151 0.8×	257 1.5×	67 0.9×	39 0.5×	20	486
Rhonda M. Bryant	315 1.2×	98 0.5×	202 1.1×	108 1.4×	23 0.3×	11	474
Susana M. Lowe	251 1.0×	170 0.9×	233 1.3×	51 0.7×	23 0.3×	11	406
James E. Brooks	166 0.6×	294 1.5×	75 0.4×	88 1.1×	44 0.6×	15	433
Kwong‐Liem Karl Kwan	233 0.9×	186 1.0×	225 1.3×	50 0.6×	19 0.3×	17	421
Diane Estrada	285 1.1×	158 0.8×	187 1.1×	159 2.0×	53 0.7×	23	477
Làurence J. Gould	222 0.8×	68 0.4×	131 0.7×	66 0.8×	30 0.4×	22	457
Thomas M. Ottavi	297 1.1×	147 0.8×	141 0.8×	51 0.7×	24 0.3×	9	376

Countries citing papers authored by William M. Liu

Since Specialization

Citations

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

Fields of papers citing papers by William M. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William M. Liu

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