Jennifer P. Bott

25 total papers · 648 total citations
14 papers, 484 citations indexed

About

Jennifer P. Bott is a scholar working on Social Psychology, Clinical Psychology and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Jennifer P. Bott has authored 14 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Social Psychology, 4 papers in Clinical Psychology and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Jennifer P. Bott's work include Personality Traits and Psychology (4 papers), Job Satisfaction and Organizational Behavior (3 papers) and Emotional Intelligence and Performance (2 papers). Jennifer P. Bott is often cited by papers focused on Personality Traits and Psychology (4 papers), Job Satisfaction and Organizational Behavior (3 papers) and Emotional Intelligence and Performance (2 papers). Jennifer P. Bott collaborates with scholars based in United States and India. Jennifer P. Bott's co-authors include Jeffrey S. Hornsby, Dean A. Shepherd, Donald F. Kuratko, Melinda Messineo, George A. Gaither, Dennis J. Devine, Scott A. Goodman, Daniel J. Svyantek, Nitish Singh and Daniel Baack and has published in prestigious journals such as Journal of Business Venturing, Journal of Applied Social Psychology and Journal of Business and Psychology.

In The Last Decade

Jennifer P. Bott

13 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
Jennifer P. Bott	250	199	118	79	71	14	484
David R. Marshall	207 0.8×	228 1.1×	75 0.6×	61 0.8×	50 0.7×	19	451
Steffen Farny	239 1.0×	133 0.7×	111 0.9×	128 1.6×	47 0.7×	21	470
Gergana Markova	281 1.1×	187 0.9×	156 1.3×	86 1.1×	106 1.5×	16	534
John A. Hornaday	343 1.4×	178 0.9×	46 0.4×	64 0.8×	79 1.1×	10	454
Ingrid C. Chadwick	163 0.7×	216 1.1×	96 0.8×	51 0.6×	73 1.0×	13	444
Orla Byrne	300 1.2×	146 0.7×	114 1.0×	74 0.9×	82 1.2×	10	513
Ana García-Granero	155 0.6×	113 0.6×	167 1.4×	46 0.6×	48 0.7×	16	465
Fred L. Fry	396 1.6×	233 1.2×	49 0.4×	125 1.6×	76 1.1×	19	509
Daniel V. Holland	308 1.2×	173 0.9×	77 0.7×	97 1.2×	121 1.7×	8	443
Isabella Hatak	334 1.3×	265 1.3×	86 0.7×	102 1.3×	90 1.3×	25	517

Countries citing papers authored by Jennifer P. Bott

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer P. Bott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer P. Bott. 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 Jennifer P. Bott. The network helps show where Jennifer P. Bott may publish in the future.

Co-authorship network of co-authors of Jennifer P. Bott

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer P. Bott. A scholar is included among the top collaborators of Jennifer P. Bott 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 Jennifer P. Bott. Jennifer P. Bott 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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