Gil Appel

2.1k citations
13 papers · 1.2k · 2 hit papers · h-index 7

Impact in

Papers in

    • Consumer Market Behavior and Pricing 3
    • Consumer Behavior in Brand Consumption and Identification 2
    • Digital Platforms and Economics 4

Gil Appel

12 papers receiving 1.1k citations

Gil Appel's Hit Papers

Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity 2025 · 36 citations
360+2+4Years since publication250500750

Peers

Gil Appel
Comparison fields: 5 of 103
  • Marketing 380
  • Information Systems and Management 258
  • Sociology and Political Science 812
  • Communication 118
  • Human-Computer Interaction 57
Replace Brad McKenna with:
Brad McKenna United Kingdom
Bo Xiao United States
Yu‐Qian Zhu Taiwan
Vijay Viswanathan United States
Gina A. Tran United States
Marta Flavián Spain
Wondwesen Tafesse United Arab Emirates
Alfredo Pérez-Rueda Spain
Yuping Liu–Thompkins United States
Ainsworth Anthony Bailey United States
Gil Appel relative to Brad McKenna United Kingdom Brad McKenna's profile →
Citations per field
00.5×1.6×
Brad McKenna · 1×
Citations per year

Countries citing papers authored by Gil Appel

Since Specialization
Citations

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

Fields of papers citing papers by Gil Appel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1
The future of social media in marketing
Hit paper breakdown →
2019987
2 202259
3 201953
4
Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity
Hit paper breakdown →
202536
5 201933
6 202213
7 20189
8 20206
9 20213
10 20153
11 20221
12 20211
13 20250

About Gil Appel

Gil Appel is a scholar working on Marketing, Strategy and Management, Sociology and Political Science, Information Systems and Management and Cognitive Neuroscience, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Digital Platforms and Economics (4 papers), Innovation Diffusion and Forecasting (3 papers), Consumer Market Behavior and Pricing (3 papers), Digital Marketing and Social Media (3 papers), Art History and Market Analysis (2 papers), Technology Adoption and User Behaviour (2 papers), Psychology of Moral and Emotional Judgment (2 papers) and Consumer Behavior in Brand Consumption and Identification (2 papers). The work is most often cited by research in Marketing (380 citations), Information Systems and Management (258 citations), Sociology and Political Science (812 citations), Communication (118 citations) and Human-Computer Interaction (57 citations). Gil Appel has collaborated with scholars based in United States, Israel and Australia. Frequent co-authors include Lauren Grewal, Rhonda Hadi, Andrew T. Stephen, Eitan Muller, Barak Libai, Lan Luo, Ron Shachar, Yanhao Wei, Stephanie Tully and Chiara Longoni. Their work appears in journals such as International Journal of Research in Marketing, Journal of the Academy of Marketing Science, Marketing Letters, Management Science and Journal of Personality and Social Psychology.

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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