Tha’er Majali
- Marketing top 5%
- Strategy and Management top 10%
- Information Systems and Management top 5%
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Muzaffar AsadDmaithan AlmajaliMalek AlsoudAws Al-OkailyManaf Al‐OkailyFayiz ShrafatAhmad Samed Al‐AdwanIkram Ud Din
- Topics
- Organizational and Employee Performance (12 papers)Technology Adoption and User Behaviour (12 papers)Digital Marketing and Social Media (8 papers)
In The Last Decade
Tha’er Majali
24 papers receiving 360 citations
Peers
Comparison fields: 5 of 63
- Marketing 128
- Strategy and Management 104
- Information Systems and Management 94
- Sociology and Political Science 86
- Artificial Intelligence 81
Countries citing papers authored by Tha’er Majali
This map shows the geographic impact of Tha’er Majali'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 Tha’er Majali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tha’er Majali more than expected).
Fields of papers citing papers by Tha’er Majali
This network shows the impact of papers produced by Tha’er Majali. 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 Tha’er Majali. The network helps show where Tha’er Majali may publish in the future.
Co-authorship network of co-authors of Tha’er Majali
This figure shows the co-authorship network connecting the top 25 collaborators of Tha’er Majali. A scholar is included among the top collaborators of Tha’er Majali 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 Tha’er Majali. Tha’er Majali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 30 | |
| 4 | 52 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 42 | |
| 9 | 28 | |
| 10 | 24 | |
| 11 | Determinants of Online Reviews Usefulness and Its Impact on Consumers Purchase Decisions | 4 |
| 12 | 110 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 13 | |
| 16 | An Overview of Research on E-Commerce Adoption: Future Trends | 3 |
| 17 | 15 | |
| 18 | The Role Of Leadership Styles On Staffs Job Satisfaction In Public Organizations | 15 |
| 19 | Knowledge Contribution Determinants through Social Network Sites: Social Relational Perspective | 3 |
| 20 | A Conceptual Model of Electronic Word of Mouth Communication through Social Network Sites: The Moderating Effect of Personality Traits | 9 |
About Tha’er Majali
Tha’er Majali is a scholar working on Information Systems and Management, Business and International Management and Marketing, having authored 24 papers that have together received 399 indexed citations. Recurring topics across this work include Organizational and Employee Performance (12 papers), Technology Adoption and User Behaviour (12 papers) and Digital Marketing and Social Media (8 papers). The work is most often cited by research in Business and International Management (48 citations), Marketing (128 citations) and Information Systems and Management (94 citations). Tha’er Majali has collaborated with scholars based in Jordan, Qatar and Oman. Frequent co-authors include Muzaffar Asad, Dmaithan Almajali, Malek Alsoud, Aws Al-Okaily, Manaf Al‐Okaily, Fayiz Shrafat, Ahmad Samed Al‐Adwan, Ikram Ud Din, Abdul Manaf Bohari and Byung-Seo Kim. Their work appears in journals such as Sensors, Journal of Consumer Marketing and Heliyon.
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.