Maya F. Farah

43 papers receiving 1.4k citations

Hit Papers

Mobile-banking adoption: empirical evidence from the bank...2018202620202023201850100150200250

Peers

Maya F. Farah
Comparison fields: 5 of 86
  • Marketing 769
  • Sociology and Political Science 766
  • Information Systems and Management 402
  • Organizational Behavior and Human Resource Management 256
  • Strategy and Management 161
Replace Tareq Rasul with:
Tareq Rasul Australia
Seshadri Tirunillai United States
Erin Cho United States
Jan H. Schumann Germany
Rishika Rishika United States
Shavneet Sharma Fiji
Laurent Muzellec Ireland
Francisco Javier Rondán Cataluña Spain
Julian Ming-Sung Cheng Taiwan
Hanna Schramm‐Klein Germany
Maya F. Farah relative to Tareq Rasul Australia Tareq Rasul's profile →
Citations per field
00.5×20×40×51×
Tareq Rasul · 1×
Citations per year

Countries citing papers authored by Maya F. Farah

Since Specialization
Citations

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

Fields of papers citing papers by Maya F. Farah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya F. Farah. 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 Maya F. Farah. The network helps show where Maya F. Farah may publish in the future.

Co-authorship network of co-authors of Maya F. Farah

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 16
4 7
5 34
6 26
7 21
8
Consumer perception of Halal products: An empirical assessment among Sunni versus Shiite Muslim consumers
4
9 10
10 42
11 23
12 37
13 29
14 7
15 10
16 33
17 17
18 4
19 12
20 152

About Maya F. Farah

Maya F. Farah is a scholar working on Marketing, Organizational Behavior and Human Resource Management and Human-Computer Interaction, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Consumer Behavior in Brand Consumption and Identification (16 papers), Digital Marketing and Social Media (16 papers) and Consumer Retail Behavior Studies (15 papers). The work is most often cited by research in Marketing (769 citations), Information Systems and Management (402 citations) and Organizational Behavior and Human Resource Management (256 citations). Maya F. Farah has collaborated with scholars based in Lebanon, United Kingdom and Pakistan. Frequent co-authors include Zahy Ramadan, Muhammad Junaid Shahid Hasni, Andrew Newman, Ibrahim Abosag, Mona Mrad, Faisal Shahzad, Muhammad Naveed and Raed El-Khalil. Their work appears in journals such as Journal of Business Research, European Journal of Marketing and Journal of Retailing and Consumer Services.

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

Rankless by CCL
2026