Karyll N. Shaw

13 total papers · 2.9k total citations
7 papers, 2.0k citations indexed

About

Karyll N. Shaw is a scholar working on Organizational Behavior and Human Resource Management, General Health Professions and Clinical Psychology. According to data from OpenAlex, Karyll N. Shaw has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Organizational Behavior and Human Resource Management, 1 paper in General Health Professions and 1 paper in Clinical Psychology. Recurrent topics in Karyll N. Shaw's work include Management Theory and Practice (2 papers), Decision-Making and Behavioral Economics (1 paper) and Academic and Historical Perspectives in Psychology (1 paper). Karyll N. Shaw is often cited by papers focused on Management Theory and Practice (2 papers), Decision-Making and Behavioral Economics (1 paper) and Academic and Historical Perspectives in Psychology (1 paper). Karyll N. Shaw collaborates with scholars based in United States. Karyll N. Shaw's co-authors include Edwin A. Locke, Lise M. Saari, Gary P. Latham, Brian D. Steffy and Steven Kerr and has published in prestigious journals such as Psychological Bulletin, Journal of Vocational Behavior and Academy of Management Perspectives.

In The Last Decade

Karyll N. Shaw

7 papers receiving 1.7k citations

Hit Papers

Goal setting and task per... 1981 2026 1996 2011 1981 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Karyll N. Shaw 634 617 379 299 256 7 2.0k
George H. Litwin 922 1.5× 468 0.8× 317 0.8× 134 0.4× 295 1.2× 11 2.5k
Anthony J. Mento 654 1.0× 564 0.9× 335 0.9× 182 0.6× 201 0.8× 25 1.6k
John Hunter 553 0.9× 518 0.8× 236 0.6× 138 0.5× 519 2.0× 10 2.4k
Christopher P. Cerasoli 679 1.1× 817 1.3× 272 0.7× 261 0.9× 289 1.1× 11 2.4k
Nina Keith 604 1.0× 429 0.7× 318 0.8× 182 0.6× 172 0.7× 23 1.8k
Mairéad Browne 404 0.6× 651 1.1× 235 0.6× 158 0.5× 513 2.0× 11 2.7k
Lorne M. Kendall 790 1.2× 527 0.9× 208 0.5× 175 0.6× 301 1.2× 7 1.8k
Rebecca S. Lau 883 1.4× 765 1.2× 194 0.5× 119 0.4× 930 3.6× 12 3.2k
Gregg B. Jackson 294 0.5× 399 0.6× 187 0.5× 278 0.9× 410 1.6× 19 2.5k
Jack R. Gibb 962 1.5× 770 1.2× 163 0.4× 169 0.6× 432 1.7× 20 2.5k

Countries citing papers authored by Karyll N. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Karyll N. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karyll N. Shaw. 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 Karyll N. Shaw. The network helps show where Karyll N. Shaw may publish in the future.

Co-authorship network of co-authors of Karyll N. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Karyll N. Shaw. A scholar is included among the top collaborators of Karyll N. Shaw 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 Karyll N. Shaw. Karyll N. Shaw 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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