Mike Donnelly

52 total papers · 566 total citations
23 papers, 348 citations indexed

About

Mike Donnelly is a scholar working on Organizational Behavior and Human Resource Management, Marketing and Management Information Systems. According to data from OpenAlex, Mike Donnelly has authored 23 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organizational Behavior and Human Resource Management, 6 papers in Marketing and 4 papers in Management Information Systems. Recurrent topics in Mike Donnelly's work include Customer Service Quality and Loyalty (8 papers), Consumer Retail Behavior Studies (4 papers) and Public Policy and Administration Research (3 papers). Mike Donnelly is often cited by papers focused on Customer Service Quality and Loyalty (8 papers), Consumer Retail Behavior Studies (4 papers) and Public Policy and Administration Research (3 papers). Mike Donnelly collaborates with scholars based in United Kingdom, Australia and United States. Mike Donnelly's co-authors include Edward Shiu, John Dalrymple, Mik Wisniewski, Adrienne Curry, Russell Rimmer, Dora Scholarios, Samuel K. M. Ho, Darcy McCormack, Paul F. Wilson and Mark A. Williams and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Orthopaedic Research® and Assessment & Evaluation in Higher Education.

In The Last Decade

Mike Donnelly

21 papers receiving 272 citations

Author Peers

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

Author						Papers	Cites
Mike Donnelly	209	95	64	60	55	23	348
Jørn Flohr Nielsen	154 0.7×	73 0.8×	117 1.8×	47 0.8×	52 0.9×	21	385
Chris Bennett	106 0.5×	21 0.2×	74 1.2×	81 1.4×	66 1.2×	16	386
John Logan	79 0.4×	24 0.3×	85 1.3×	54 0.9×	94 1.7×	20	378
Joyce Falkenberg	186 0.9×	48 0.5×	163 2.5×	25 0.4×	43 0.8×	14	375
Matthew W. Guah	57 0.3×	26 0.3×	62 1.0×	43 0.7×	110 2.0×	25	318
Dane Pflueger	62 0.3×	61 0.6×	65 1.0×	52 0.9×	95 1.7×	14	318
Earl F. Cheit	125 0.6×	33 0.3×	56 0.9×	19 0.3×	46 0.8×	26	375
Xiaomin Yu	87 0.4×	111 1.2×	263 4.1×	17 0.3×	83 1.5×	21	403
Peter Kangis	173 0.8×	91 1.0×	77 1.2×	53 0.9×	75 1.4×	20	351
Max Ringlstetter	118 0.6×	37 0.4×	104 1.6×	23 0.4×	99 1.8×	29	300

Countries citing papers authored by Mike Donnelly

Since Specialization

Citations

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

Fields of papers citing papers by Mike Donnelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Donnelly

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