Matthew D. Shank

49 total papers · 1.4k total citations
30 papers, 989 citations indexed

About

Matthew D. Shank is a scholar working on Marketing, Gender Studies and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Matthew D. Shank has authored 30 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Marketing, 8 papers in Gender Studies and 8 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Matthew D. Shank's work include Customer Service Quality and Loyalty (8 papers), Sports, Gender, and Society (8 papers) and Visual perception and processing mechanisms (4 papers). Matthew D. Shank is often cited by papers focused on Customer Service Quality and Loyalty (8 papers), Sports, Gender, and Society (8 papers) and Visual perception and processing mechanisms (4 papers). Matthew D. Shank collaborates with scholars based in United States and Russia. Matthew D. Shank's co-authors include Fred Beasley, Thomas C. Boyd, Mary Walker, Thomas J. Hayes, Lynn Langmeyer, Kathleen M. Haywood, J.T.S. Walker, Stephanie Hughes, Mary Walker and Thomas Hayes and has published in prestigious journals such as Journal of Product & Brand Management, Accounting Horizons and The Journal of Psychology.

In The Last Decade

Matthew D. Shank

28 papers receiving 826 citations

Author Peers

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

Author						Papers	Cites
Matthew D. Shank	449	352	344	232	141	30	989
David Crockett	452 1.0×	548 1.6×	192 0.6×	105 0.5×	93 0.7×	25	1.1k
Deborah F. Spake	369 0.8×	322 0.9×	123 0.4×	322 1.4×	72 0.5×	30	1.1k
Isabella C. M. Cunningham	342 0.8×	488 1.4×	156 0.5×	165 0.7×	58 0.4×	33	855
Beverly A. Browne	166 0.4×	353 1.0×	170 0.5×	190 0.8×	53 0.4×	21	848
James G. Helgeson	285 0.6×	465 1.3×	101 0.3×	175 0.8×	107 0.8×	27	843
Andrea Groeppel‐Klein	415 0.9×	448 1.3×	120 0.3×	116 0.5×	76 0.5×	39	938
Finola Kerrigan	431 1.0×	290 0.8×	123 0.4×	101 0.4×	47 0.3×	55	906
Charles S. Madden	274 0.6×	390 1.1×	118 0.3×	172 0.7×	44 0.3×	29	903
Aron M. Levin	489 1.1×	823 2.3×	145 0.4×	194 0.8×	119 0.8×	26	1.2k
Harlan E. Spotts	257 0.6×	472 1.3×	203 0.6×	135 0.6×	37 0.3×	40	919

Countries citing papers authored by Matthew D. Shank

Since Specialization

Citations

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

Fields of papers citing papers by Matthew D. Shank

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Shank. 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 Matthew D. Shank. The network helps show where Matthew D. Shank may publish in the future.

Co-authorship network of co-authors of Matthew D. Shank

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Shank. A scholar is included among the top collaborators of Matthew D. Shank 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 Matthew D. Shank. Matthew D. Shank 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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