Emily Treen

818 citations
24 papers · 606 · 1 hit paper · h-index 10

Impact in

Papers in

Emily Treen

24 papers receiving 568 citations

Emily Treen's Hit Papers

Artificial Intelligence in Advertising 2018 · 345 citations
3450+2+5Years since publication100200300

Peers

Emily Treen
Comparison fields: 5 of 83
  • Marketing 160
  • Tourism, Leisure and Hospitality Management 17
  • Information Systems and Management 72
  • Management Information Systems 83
  • Health Informatics 11
Replace Zsófia Tóth with:
Zsófia Tóth United Kingdom
Erik Hermann Germany
Anjali Bal United States
Paige Rutner United States
Chen‐Ya Wang Taiwan
Tyge‐F. Kummer Australia
Mario Arias-Oliva Spain
Christopher S. Dutt United Arab Emirates
Andréas Munzel France
Caitlin Ferreira South Africa
Emily Treen relative to Zsófia Tóth United Kingdom Zsófia Tóth's profile →
Citations per field
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Zsófia Tóth · 1×
Citations per year

Countries citing papers authored by Emily Treen

Since Specialization
Citations

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

Fields of papers citing papers by Emily Treen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Artificial Intelligence in Advertising
Hit paper breakdown →
2018345
2 201647
3 201833
4 201624
5 201622
6 201618
7 201613
8 201813
9 202110
10 201710
11 20219
12 20168
13 20178
14 20228
15 20167
16 20207
17 20176
18 20235
19 20175
20 20173

About Emily Treen

Emily Treen is a scholar working on Sociology and Political Science, Marketing, Organizational Behavior and Human Resource Management, Communication and Strategy and Management, having authored 24 papers that have together received 606 indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (8 papers), Customer Service Quality and Loyalty (8 papers), Digital Marketing and Social Media (7 papers), Knowledge Management and Sharing (3 papers), Management and Marketing Education (3 papers), Wine Industry and Tourism (3 papers), Disaster Management and Resilience (2 papers) and Accounting Education and Careers (2 papers). The work is most often cited by research in Marketing (160 citations), Tourism, Leisure and Hospitality Management (17 citations), Information Systems and Management (72 citations), Management Information Systems (83 citations) and Health Informatics (11 citations). Emily Treen has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include Jeannette Paschen, Jan Kietzmann, Leyland Pitt, Pierre Berthon, Jeremy de Beer, Ian P. McCarthy, Christine Pitt, Amir Dabirian, Christina Atanasova and Michael R. Johnson. Their work appears in journals such as Business Horizons, Journal of Strategic Marketing, Journal of Marketing Education, Journal of Public Affairs and Journal of Product & Brand 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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