Mary L. Connerley

45 total papers · 1.5k total citations
27 papers, 1.0k citations indexed

About

Mary L. Connerley is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Gender Studies. According to data from OpenAlex, Mary L. Connerley has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organizational Behavior and Human Resource Management, 7 papers in Sociology and Political Science and 7 papers in Gender Studies. Recurrent topics in Mary L. Connerley's work include Employer Branding and e-HRM (12 papers), Gender Diversity and Inequality (7 papers) and Job Satisfaction and Organizational Behavior (6 papers). Mary L. Connerley is often cited by papers focused on Employer Branding and e-HRM (12 papers), Gender Diversity and Inequality (7 papers) and Job Satisfaction and Organizational Behavior (6 papers). Mary L. Connerley collaborates with scholars based in United States and Latvia. Mary L. Connerley's co-authors include Judy Strauss, Sara L. Rynes, Kevin D. Carlson, Murray R. Barrick, Fred A. Mael, Myrtle P. Bell, Faye K. Cocchiara, Jiyun Wu, Paul Pedersen and Richard D. Arvey and has published in prestigious journals such as Journal of Management, Personnel Psychology and Human Relations.

In The Last Decade

Mary L. Connerley

26 papers receiving 893 citations

Author Peers

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

Author Last Decade Papers Cites
Mary L. Connerley 478 322 314 222 165 27 1.0k
Beth G. Chung‐Herrera 478 1.0× 340 1.1× 329 1.0× 214 1.0× 102 0.6× 12 1.1k
Denise Potosky 370 0.8× 285 0.9× 190 0.6× 224 1.0× 124 0.8× 33 1.0k
Susan L. Kirby 333 0.7× 239 0.7× 271 0.9× 392 1.8× 119 0.7× 24 998
Steven D. Maurer 606 1.3× 316 1.0× 181 0.6× 232 1.0× 129 0.8× 26 1.1k
Frank Linnehan 296 0.6× 303 0.9× 349 1.1× 196 0.9× 67 0.4× 29 806
Greg J. Sears 431 0.9× 254 0.8× 280 0.9× 212 1.0× 88 0.5× 30 922
Donna E. Thompson 472 1.0× 434 1.3× 502 1.6× 225 1.0× 71 0.4× 22 1.2k
Hans‐Georg Wolff 385 0.8× 404 1.3× 107 0.3× 234 1.1× 170 1.0× 35 1.1k
Sabrina D. Volpone 482 1.0× 381 1.2× 335 1.1× 177 0.8× 75 0.5× 40 993
Margaret M. Hopkins 338 0.7× 258 0.8× 405 1.3× 307 1.4× 61 0.4× 30 990

Countries citing papers authored by Mary L. Connerley

Since Specialization
Citations

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

Fields of papers citing papers by Mary L. Connerley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary L. Connerley. 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 Mary L. Connerley. The network helps show where Mary L. Connerley may publish in the future.

Co-authorship network of co-authors of Mary L. Connerley

This figure shows the co-authorship network connecting the top 25 collaborators of Mary L. Connerley. A scholar is included among the top collaborators of Mary L. Connerley 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 Mary L. Connerley. Mary L. Connerley 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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