William C. Perkins

43 total papers · 818 total citations
21 papers, 543 citations indexed

About

William C. Perkins is a scholar working on Social Psychology, Management Information Systems and Communication. According to data from OpenAlex, William C. Perkins has authored 21 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 5 papers in Management Information Systems and 4 papers in Communication. Recurrent topics in William C. Perkins's work include Knowledge Management and Sharing (4 papers), Team Dynamics and Performance (4 papers) and Operations Management Techniques (3 papers). William C. Perkins is often cited by papers focused on Knowledge Management and Sharing (4 papers), Team Dynamics and Performance (4 papers) and Operations Management Techniques (3 papers). William C. Perkins collaborates with scholars based in United States and France. William C. Perkins's co-authors include Martin D. Crossland, Abbas Foroughi, Bayard E. Wynne, Timothy L. Smunt, Carol V. Brown, Jeffrey A. Hoffer, James C. Hershauer, M. Tawfik Jelassi, Richard T. Herschel and Leonard M. Jessup and has published in prestigious journals such as Journal of Political Economy, Journal of Operations Management and International Journal of Production Research.

In The Last Decade

William C. Perkins

21 papers receiving 477 citations

Author Peers

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

Author						Papers	Cites
William C. Perkins	122	117	96	96	82	21	543
Salvatore Belardo	111 0.9×	93 0.8×	68 0.7×	105 1.1×	74 0.9×	37	564
Martin D. Crossland	55 0.5×	181 1.5×	116 1.2×	47 0.5×	97 1.2×	15	577
Barbara Kump	51 0.4×	81 0.7×	87 0.9×	40 0.4×	77 0.9×	37	599
M. Tawfik Jelassi	112 0.9×	98 0.8×	215 2.2×	165 1.7×	63 0.8×	15	528
Helena Alvelos	98 0.8×	119 1.0×	50 0.5×	24 0.3×	137 1.7×	28	577
Jing Luan	58 0.5×	117 1.0×	153 1.6×	46 0.5×	86 1.0×	26	562
Eleni Aravopoulou	156 1.3×	110 0.9×	76 0.8×	72 0.8×	58 0.7×	31	502
Uglješa Marjanović	92 0.8×	57 0.5×	54 0.6×	28 0.3×	78 1.0×	34	617
Majharul Talukder	56 0.5×	134 1.1×	59 0.6×	35 0.4×	51 0.6×	45	501
Börje Langefors	131 1.1×	104 0.9×	99 1.0×	71 0.7×	119 1.5×	17	468

Countries citing papers authored by William C. Perkins

Since Specialization

Citations

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

Fields of papers citing papers by William C. Perkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William C. Perkins

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