Julia DiBenigno

36 total papers · 892 total citations
15 papers, 652 citations indexed

About

Julia DiBenigno is a scholar working on Organizational Behavior and Human Resource Management, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Julia DiBenigno has authored 15 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organizational Behavior and Human Resource Management, 4 papers in General Health Professions and 4 papers in Sociology and Political Science. Recurrent topics in Julia DiBenigno's work include Management and Organizational Studies (9 papers), Job Satisfaction and Organizational Behavior (3 papers) and Emotional Labor in Professions (2 papers). Julia DiBenigno is often cited by papers focused on Management and Organizational Studies (9 papers), Job Satisfaction and Organizational Behavior (3 papers) and Emotional Labor in Professions (2 papers). Julia DiBenigno collaborates with scholars based in United States. Julia DiBenigno's co-authors include Curtis K. Chan, Michel Anteby, Katherine C. Kellogg, Michaela Kerrissey, Andrew Ulrich, Marissa King, Arjun K. Venkatesh, Amy Wrzesniewski, Eleanor Reid and Jayakanth Srinivasan and has published in prestigious journals such as Administrative Science Quarterly, Organization Science and Academy of Management Annals.

In The Last Decade

Julia DiBenigno

14 papers receiving 630 citations

Author Peers

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

Author						Papers	Cites
Julia DiBenigno	330	252	108	95	91	15	652
Michael R. Carrell	410 1.2×	189 0.8×	69 0.6×	76 0.8×	116 1.3×	22	767
Françoise Dany	432 1.3×	220 0.9×	86 0.8×	121 1.3×	52 0.6×	16	791
Olga Suhomlinova	235 0.7×	193 0.8×	143 1.3×	128 1.3×	50 0.5×	21	707
Charles H. Fay	334 1.0×	148 0.6×	87 0.8×	119 1.3×	91 1.0×	26	752
Ray Gibney	376 1.1×	236 0.9×	76 0.7×	69 0.7×	157 1.7×	19	668
John E. Dittrich	344 1.0×	162 0.6×	51 0.5×	78 0.8×	121 1.3×	16	679
Curtis K. Chan	230 0.7×	237 0.9×	75 0.7×	66 0.7×	53 0.6×	11	761
Ruth Blatt	264 0.8×	186 0.7×	146 1.4×	128 1.3×	65 0.7×	10	642
Jennifer Hartwell	307 0.9×	156 0.6×	93 0.9×	76 0.8×	84 0.9×	10	689
Zoe I. Barsness	223 0.7×	320 1.3×	88 0.8×	106 1.1×	193 2.1×	17	641

Countries citing papers authored by Julia DiBenigno

Since Specialization

Citations

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

Fields of papers citing papers by Julia DiBenigno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia DiBenigno. 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 Julia DiBenigno. The network helps show where Julia DiBenigno may publish in the future.

Co-authorship network of co-authors of Julia DiBenigno

This figure shows the co-authorship network connecting the top 25 collaborators of Julia DiBenigno. A scholar is included among the top collaborators of Julia DiBenigno 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 Julia DiBenigno. Julia DiBenigno 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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