Fred R. Blass

17 total papers · 1.0k total citations
10 papers, 548 citations indexed

About

Fred R. Blass is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Clinical Psychology. According to data from OpenAlex, Fred R. Blass has authored 10 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organizational Behavior and Human Resource Management, 5 papers in Social Psychology and 3 papers in Clinical Psychology. Recurrent topics in Fred R. Blass's work include Job Satisfaction and Organizational Behavior (7 papers), Mentoring and Academic Development (3 papers) and Youth Development and Social Support (1 paper). Fred R. Blass is often cited by papers focused on Job Satisfaction and Organizational Behavior (7 papers), Mentoring and Academic Development (3 papers) and Youth Development and Social Support (1 paper). Fred R. Blass collaborates with scholars based in United States and Germany. Fred R. Blass's co-authors include Gerald R. Ferris, Angela T. Hall, Pamela L. Perrewé, Mary Dana Laird, Robert Zinko, Alexa A. Perryman, Chad H. Van Iddekinge, Wayne A. Hochwarter, David J. Ketchen and Robyn L. Brouer and has published in prestigious journals such as Journal of Applied Psychology, Journal of Organizational Behavior and The Leadership Quarterly.

In The Last Decade

Fred R. Blass

10 papers receiving 501 citations

Author Peers

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

Author						Papers	Cites
Fred R. Blass	310	154	122	113	77	10	548
Hein Wendt	355 1.1×	123 0.8×	171 1.4×	104 0.9×	97 1.3×	13	589
D. Brian McNatt	236 0.8×	179 1.2×	143 1.2×	79 0.7×	39 0.5×	16	608
Lynda St. Clair	295 1.0×	263 1.7×	135 1.1×	101 0.9×	176 2.3×	16	599
Uco J. Wiersma	240 0.8×	203 1.3×	174 1.4×	62 0.5×	115 1.5×	13	616
Joseph Seltzer	342 1.1×	118 0.8×	150 1.2×	105 0.9×	47 0.6×	16	552
Mary Dana Laird	307 1.0×	173 1.1×	105 0.9×	101 0.9×	58 0.8×	18	525
Guillermo E. Dabos	374 1.2×	170 1.1×	135 1.1×	61 0.5×	43 0.6×	14	559
Björn Michaelis	343 1.1×	86 0.6×	82 0.7×	194 1.7×	68 0.9×	12	603
Flannery G. Stevens	269 0.9×	172 1.1×	170 1.4×	73 0.6×	128 1.7×	4	564
Sayyed Muhammad Mehdi Raza Naqvi	394 1.3×	86 0.6×	100 0.8×	98 0.9×	55 0.7×	19	592

Countries citing papers authored by Fred R. Blass

Since Specialization

Citations

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

Fields of papers citing papers by Fred R. Blass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred R. Blass. 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 Fred R. Blass. The network helps show where Fred R. Blass may publish in the future.

Co-authorship network of co-authors of Fred R. Blass

This figure shows the co-authorship network connecting the top 25 collaborators of Fred R. Blass. A scholar is included among the top collaborators of Fred R. Blass 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 Fred R. Blass. Fred R. Blass 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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