Marc C. Marchese

18 total papers · 708 total citations
13 papers, 479 citations indexed

About

Marc C. Marchese is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and General Health Professions. According to data from OpenAlex, Marc C. Marchese has authored 13 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 4 papers in Social Psychology and 3 papers in General Health Professions. Recurrent topics in Marc C. Marchese's work include Job Satisfaction and Organizational Behavior (4 papers), Employment and Welfare Studies (2 papers) and Workplace Health and Well-being (2 papers). Marc C. Marchese is often cited by papers focused on Job Satisfaction and Organizational Behavior (4 papers), Employment and Welfare Studies (2 papers) and Workplace Health and Well-being (2 papers). Marc C. Marchese collaborates with scholars based in United States, United Kingdom and Russia. Marc C. Marchese's co-authors include Connie R. Wanberg, John D. Kammeyer‐Mueller, Daniel Monti, Robert J. Schwartzman, Paul M. Muchinsky, John T. Sinnott, E Kunkel and Jeffrey M. Greeson and has published in prestigious journals such as Journal of Business Ethics, Journal of Vocational Behavior and Academy of Management Perspectives.

In The Last Decade

Marc C. Marchese

12 papers receiving 413 citations

Author Peers

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

Author						Papers	Cites
Marc C. Marchese	182	124	108	83	83	13	479
Elizabeth Kelley	59 0.3×	126 1.0×	54 0.5×	41 0.5×	147 1.8×	38	550
David Hartman	28 0.2×	205 1.7×	47 0.4×	89 1.1×	27 0.3×	34	538
Lucas Monzani	140 0.8×	161 1.3×	71 0.7×	100 1.2×	24 0.3×	36	446
Bernardo J. Carducci	155 0.9×	18 0.1×	119 1.1×	88 1.1×	29 0.3×	31	516
Molly J. Dingel	58 0.3×	18 0.1×	66 0.6×	53 0.6×	132 1.6×	29	480
Myria Ioannou	199 1.1×	16 0.1×	220 2.0×	86 1.0×	110 1.3×	28	533
Virpi Kalakoski	118 0.6×	15 0.1×	53 0.5×	72 0.9×	75 0.9×	18	410
Jan Fischer	49 0.3×	15 0.1×	48 0.4×	114 1.4×	41 0.5×	10	436
Patricia M. Rowe	130 0.7×	172 1.4×	45 0.4×	150 1.8×	48 0.6×	28	545
Deborah M. Switzer	86 0.5×	48 0.4×	80 0.7×	89 1.1×	139 1.7×	12	470

Countries citing papers authored by Marc C. Marchese

Since Specialization

Citations

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

Fields of papers citing papers by Marc C. Marchese

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Marchese. 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 Marc C. Marchese. The network helps show where Marc C. Marchese may publish in the future.

Co-authorship network of co-authors of Marc C. Marchese

This figure shows the co-authorship network connecting the top 25 collaborators of Marc C. Marchese. A scholar is included among the top collaborators of Marc C. Marchese 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 Marc C. Marchese. Marc C. Marchese 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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