Cuauhtémoc Luna‐Nevarez

17 papers receiving 614 citations

Peers

Cuauhtémoc Luna‐Nevarez
Comparison fields: 5 of 104
  • Sociology and Political Science 344
  • Marketing 217
  • Information Systems and Management 103
  • Human-Computer Interaction 88
  • Organizational Behavior and Human Resource Management 87
Replace Hyeon-Cheol Kim with:
Hyeon-Cheol Kim South Korea
Hyejo Hailey Shin Hong Kong
Michael W. Preis South Korea
Sut Ieng Lei Macao
Jessika Weber Netherlands
Magdalena Bekk Germany
Jesús García de Madariaga Spain
Luis‐Alberto Casado‐Aranda Spain
Kathy Wachter United States
Kyle B. Murray Canada
Cuauhtémoc Luna‐Nevarez relative to Hyeon-Cheol Kim South Korea Hyeon-Cheol Kim's profile →
Citations per field
00.5×3.3×
Hyeon-Cheol Kim · 1×
Citations per year

Countries citing papers authored by Cuauhtémoc Luna‐Nevarez

Since Specialization
Citations

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

Fields of papers citing papers by Cuauhtémoc Luna‐Nevarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cuauhtémoc Luna‐Nevarez. 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 Cuauhtémoc Luna‐Nevarez. The network helps show where Cuauhtémoc Luna‐Nevarez may publish in the future.

Co-authorship network of co-authors of Cuauhtémoc Luna‐Nevarez

This figure shows the co-authorship network connecting the top 25 collaborators of Cuauhtémoc Luna‐Nevarez. A scholar is included among the top collaborators of Cuauhtémoc Luna‐Nevarez 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 Cuauhtémoc Luna‐Nevarez. Cuauhtémoc Luna‐Nevarez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 16
2 16
3 4
4 29
5 100
6 20
7 44
8 9
9
Exploring the Use of Twitter Opinion Mining (TOM) in Marketing Courses
1
10 61
11 57
12 5
13 10
14 10
15
Journal of Destination Marketing & Management
164
16 115
17
Artistic Stylistic Properties of Fashion Luxury Advertisements
1

About Cuauhtémoc Luna‐Nevarez

Cuauhtémoc Luna‐Nevarez is a scholar working on Information Systems and Management, Museology and Marketing, having authored 17 papers that have together received 662 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (8 papers), Technology Adoption and User Behaviour (5 papers) and Mobile Learning in Education (2 papers). The work is most often cited by research in Marketing (217 citations), Human-Computer Interaction (88 citations) and Information Systems and Management (103 citations). Cuauhtémoc Luna‐Nevarez has collaborated with scholars based in United States, Singapore and Spain. Frequent co-authors include Michael R. Hyman, Enda McGovern, Ivonne M. Torres, Francisco Rejón‐Guardia, Kelly Tian, Derek J. Fisher, Richard J. Vann, Mihai Niculescu, Collin R. Payne and Timothy Ketelaar. Their work appears in journals such as Journal of Consumer Research, Journal of Consumer Behaviour and Journal of Destination Marketing & Management.

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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