Scott W. Geiger

35 total papers · 1.2k total citations
27 papers, 841 citations indexed

About

Scott W. Geiger is a scholar working on Organizational Behavior and Human Resource Management, Strategy and Management and Accounting. According to data from OpenAlex, Scott W. Geiger has authored 27 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organizational Behavior and Human Resource Management, 8 papers in Strategy and Management and 8 papers in Accounting. Recurrent topics in Scott W. Geiger's work include Corporate Finance and Governance (8 papers), Innovation and Knowledge Management (7 papers) and Job Satisfaction and Organizational Behavior (5 papers). Scott W. Geiger is often cited by papers focused on Corporate Finance and Governance (8 papers), Innovation and Knowledge Management (7 papers) and Job Satisfaction and Organizational Behavior (5 papers). Scott W. Geiger collaborates with scholars based in United States. Scott W. Geiger's co-authors include Luke H. Cashen, Dan Marlin, Marianna Makri, Marc D. Street, Scott Douglas, Mark J. Martinko, James J. Hoffman, William J. Ritchie, Bruce T. Lamont and Chris Robertson and has published in prestigious journals such as Journal of Business Research, Journal of Business Ethics and Organizational Behavior and Human Decision Processes.

In The Last Decade

Scott W. Geiger

27 papers receiving 761 citations

Author Peers

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

Author						Papers	Cites
Scott W. Geiger	404	242	188	168	127	27	841
Donald L. Lester	348 0.9×	144 0.6×	167 0.9×	112 0.7×	131 1.0×	27	744
Steve Gove	458 1.1×	273 1.1×	218 1.2×	82 0.5×	90 0.7×	18	801
Peggy A. Golden	595 1.5×	225 0.9×	272 1.4×	93 0.6×	153 1.2×	35	938
Lorenz Graf‐Vlachy	329 0.8×	200 0.8×	200 1.1×	118 0.7×	109 0.9×	51	994
M. Paz Salmador	605 1.5×	254 1.0×	168 0.9×	199 1.2×	188 1.5×	22	1.0k
Faisal Nawaz	410 1.0×	159 0.7×	174 0.9×	102 0.6×	95 0.7×	24	951
Gloria Cuevas‐Rodríguez	582 1.4×	313 1.3×	212 1.1×	137 0.8×	195 1.5×	24	1.1k
Zhan Wu	524 1.3×	149 0.6×	222 1.2×	182 1.1×	139 1.1×	38	934
Markus Menz	574 1.4×	317 1.3×	308 1.6×	123 0.7×	123 1.0×	29	1.1k
Robert J. Litschert	465 1.2×	298 1.2×	203 1.1×	118 0.7×	126 1.0×	17	769

Countries citing papers authored by Scott W. Geiger

Since Specialization

Citations

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

Fields of papers citing papers by Scott W. Geiger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott W. Geiger. 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 Scott W. Geiger. The network helps show where Scott W. Geiger may publish in the future.

Co-authorship network of co-authors of Scott W. Geiger

This figure shows the co-authorship network connecting the top 25 collaborators of Scott W. Geiger. A scholar is included among the top collaborators of Scott W. Geiger 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 Scott W. Geiger. Scott W. Geiger 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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