David Luna

2.6k citations
48 papers · 1.7k · h-index 21

Impact in

Papers in

David Luna

44 papers receiving 1.5k citations

Peers

David Luna
Comparison fields: 5 of 101
  • Marketing 786
  • Human-Computer Interaction 256
  • Language and Linguistics 255
  • Information Systems and Management 171
  • Communication 168
Replace Tina M. Lowrey with:
Tina M. Lowrey United States
Camilla Vásquez United States
Radan Martinec United Kingdom
Dawn Lerman United States
Scott Koslow Australia
Richard R. Klink United States
Stijn M. J. van Osselaer United States
Nader T. Tavassoli United Kingdom
Rohini Ahluwalia United States
Annamma Joy Canada
David Luna relative to Tina M. Lowrey United States Tina M. Lowrey's profile →
Citations per field
00.5×2.8×
Tina M. Lowrey · 1×
Citations per year

Countries citing papers authored by David Luna

Since Specialization
Citations

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

Fields of papers citing papers by David Luna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Luna, 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 David Luna Line = papers co-authored together David Luna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002222
2 2001205
3 2008163
4 2001131
5 2005117
6 201287
7 201762
8 200555
9 199854
10 200444
11 200243
12 201140
13 200639
14 200838
15 201936
16
Flow in Individual Web Sites: Model Estimation and Cross-Cultural Validation
200331
17 200328
18 201327
19 200526
20 201224

About David Luna

David Luna is a scholar working on Marketing, Sociology and Political Science, Social Psychology, Experimental and Cognitive Psychology and Language and Linguistics, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (17 papers), Language, Metaphor, and Cognition (8 papers), Cultural Differences and Values (7 papers), Linguistics, Language Diversity, and Identity (7 papers), Digital Communication and Language (5 papers), Digital Marketing and Social Media (4 papers), Media, Gender, and Advertising (4 papers) and Social and Intergroup Psychology (4 papers). The work is most often cited by research in Marketing (786 citations), Human-Computer Interaction (256 citations), Language and Linguistics (255 citations), Information Systems and Management (171 citations) and Communication (168 citations). David Luna has collaborated with scholars based in United States, Spain and Mexico. Frequent co-authors include Laura A. Peracchio, Susan Forquer Gupta, Dawn Lerman, Torsten Ringberg, Sergio W. Carvalho, Tina M. Lowrey, Min Liu, L. J. Shrum, Val Larsen and Sandor Czellar. Their work appears in journals such as Journal of Consumer Psychology, Journal of Consumer Research, Journal of Business Research, Journal of Advertising and International Journal of Research in Marketing.

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.

Explore authors with similar magnitude of impact