Jeff McCarthy

548 citations
13 papers · 348 · h-index 7

Impact in

Papers in

Jeff McCarthy

11 papers receiving 313 citations

Peers

Jeff McCarthy
Comparison fields: 5 of 63
  • Information Systems and Management 108
  • Marketing 115
  • Gender Studies 63
  • Sociology and Political Science 247
  • Organizational Behavior and Human Resource Management 39
Replace Oliver Schnittka with:
Oliver Schnittka Denmark
José Fernández-Cavia Spain
Ciná Van Zyl South Africa
Cecilia Lindh Sweden
Sojung Kim South Korea
Catherine J. Ashworth United Kingdom
Marcos Inácio Severo de Almeida Brazil
Bettina Lis Germany
Jurui Zhang United States
Dean Wilkie Australia
Jeff McCarthy relative to Oliver Schnittka Denmark Oliver Schnittka's profile →
Citations per field
00.5×4.5×
Oliver Schnittka · 1×
Citations per year

Countries citing papers authored by Jeff McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by Jeff McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jeff McCarthy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jeff McCarthy Line = papers co-authored together Jeff McCarthy links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2014144
2 2013133
3 198726
4 202213
5 19918
6 19896
7
Key to Growth Supporting South Africa's Emerging Entrepreneurs
20046
8 19954
9 20113
10 19892
11
Land use differentiation, class differentiation, housing and the urban land market - international and SA frameworks in MMW4P perspective
20061
12 20071
13 20061

About Jeff McCarthy

Jeff McCarthy is a scholar working on Sociology and Political Science, Urban Studies, Marketing, Gender Studies and Organizational Behavior and Human Resource Management, having authored 13 papers that have together received 348 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (4 papers), South African History and Culture (3 papers), Customer Service Quality and Loyalty (2 papers), Digital Games and Media (2 papers), Consumer Behavior in Brand Consumption and Identification (2 papers), Sports, Gender, and Society (2 papers), Urban Planning and Governance (2 papers) and Urban and Rural Development Challenges (2 papers). The work is most often cited by research in Information Systems and Management (108 citations), Marketing (115 citations), Gender Studies (63 citations), Sociology and Political Science (247 citations) and Organizational Behavior and Human Resource Management (39 citations). Jeff McCarthy has collaborated with scholars based in United Kingdom, South Africa and Thailand. Frequent co-authors include Jennifer Rowley, Catherine Watson, Elke Pioch, Catherine J. Ashworth, Jenny Rowley, Brendan James Keegan, Paul Wellings and Jennifer Rowley. Their work appears in journals such as Urban Forum, Soccer and Society, South African Geographical Journal, International Journal of Information Management and Internet Research.

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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