Tony Conway

28 total papers · 782 total citations
18 papers, 518 citations indexed

About

Tony Conway is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Marketing. According to data from OpenAlex, Tony Conway has authored 18 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Organizational Behavior and Human Resource Management, 6 papers in Sociology and Political Science and 6 papers in Marketing. Recurrent topics in Tony Conway's work include Customer Service Quality and Loyalty (9 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Digital Marketing and Social Media (2 papers). Tony Conway is often cited by papers focused on Customer Service Quality and Loyalty (9 papers), Consumer Behavior in Brand Consumption and Identification (3 papers) and Digital Marketing and Social Media (2 papers). Tony Conway collaborates with scholars based in United Kingdom, Germany and Russia. Tony Conway's co-authors include Jonathan S. Swift, Stephen A. MacKay, David Yorke, Stephen Willcocks, Jeryl Whitelock, Steve Baron, Gary Warnaby, Gerard J. Lewis and Michael P. Wilson and has published in prestigious journals such as European Journal of Marketing, International Journal of Public Sector Management and Journal of Marketing Communications.

In The Last Decade

Tony Conway

17 papers receiving 439 citations

Author Peers

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

Author						Papers	Cites
Tony Conway	255	198	126	117	75	18	518
Wes Harry	227 0.9×	208 1.1×	165 1.3×	147 1.3×	35 0.5×	13	576
Lyndsay Rashman	140 0.5×	199 1.0×	101 0.8×	36 0.3×	82 1.1×	9	565
Christina Hoon	250 1.0×	197 1.0×	123 1.0×	52 0.4×	126 1.7×	26	613
Isabel Maria Macedo	154 0.6×	109 0.6×	240 1.9×	119 1.0×	31 0.4×	14	589
Thomas Hoholm	165 0.6×	314 1.6×	88 0.7×	65 0.6×	118 1.6×	28	548
Grant O’Neill	261 1.0×	126 0.6×	66 0.5×	50 0.4×	52 0.7×	24	459
Cristina Del-Castillo-Feito	144 0.6×	274 1.4×	80 0.6×	137 1.2×	37 0.5×	18	537
If Price	155 0.6×	109 0.6×	82 0.7×	51 0.4×	54 0.7×	16	600
Susana Pasamar	214 0.8×	204 1.0×	179 1.4×	105 0.9×	57 0.8×	32	588
Margaret McNeil	224 0.9×	165 0.8×	70 0.6×	104 0.9×	34 0.5×	16	452

Countries citing papers authored by Tony Conway

Since Specialization

Citations

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

Fields of papers citing papers by Tony Conway

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tony Conway

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