Ann M. Mirabito

39 total papers · 630 total citations
27 papers, 433 citations indexed

About

Ann M. Mirabito is a scholar working on Marketing, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Ann M. Mirabito has authored 27 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Marketing, 7 papers in General Health Professions and 5 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Ann M. Mirabito's work include Service and Product Innovation (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Customer Service Quality and Loyalty (3 papers). Ann M. Mirabito is often cited by papers focused on Service and Product Innovation (4 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Customer Service Quality and Loyalty (3 papers). Ann M. Mirabito collaborates with scholars based in United States, United Kingdom and Canada. Ann M. Mirabito's co-authors include Leonard L. Berry, William B. Baun, Elizabeth Crosby, Jane E. Machin, Natalie Ross Adkins, Justine Rapp Farrell, Mary Ann Faucher, Kelly L. Haws, Debra L. Scammon and Paula C. Peter and has published in prestigious journals such as Annals of Internal Medicine, Journal of Business Research and Journal of the Academy of Marketing Science.

In The Last Decade

Ann M. Mirabito

23 papers receiving 406 citations

Author Peers

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

Author						Papers	Cites
Ann M. Mirabito	132	123	90	86	63	27	433
Gerri Spassova	117 0.9×	127 1.0×	122 1.4×	71 0.8×	98 1.6×	15	406
Tracy H. Porter	107 0.8×	33 0.3×	95 1.1×	117 1.4×	47 0.7×	44	409
Tzu‐Ling Huang	97 0.7×	45 0.4×	206 2.3×	73 0.8×	59 0.9×	37	489
Wen Wu	88 0.7×	45 0.4×	125 1.4×	178 2.1×	113 1.8×	30	463
Shafiq ur Rehman	83 0.6×	30 0.2×	77 0.9×	82 1.0×	78 1.2×	14	482
Amir Riaz	63 0.5×	49 0.4×	95 1.1×	183 2.1×	69 1.1×	27	435
Dirk Sikkel	58 0.4×	68 0.6×	127 1.4×	44 0.5×	59 0.9×	18	380
Amber L. Stephenson	76 0.6×	48 0.4×	97 1.1×	88 1.0×	36 0.6×	34	384
Tanja Kamin	156 1.2×	40 0.3×	166 1.8×	39 0.5×	41 0.7×	34	485
Helena Almeida	163 1.2×	36 0.3×	133 1.5×	216 2.5×	89 1.4×	32	470

Countries citing papers authored by Ann M. Mirabito

Since Specialization

Citations

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

Fields of papers citing papers by Ann M. Mirabito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann M. Mirabito. 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 Ann M. Mirabito. The network helps show where Ann M. Mirabito may publish in the future.

Co-authorship network of co-authors of Ann M. Mirabito

This figure shows the co-authorship network connecting the top 25 collaborators of Ann M. Mirabito. A scholar is included among the top collaborators of Ann M. Mirabito 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 Ann M. Mirabito. Ann M. Mirabito 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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