Khaled M. S. Faqih
- Information Systems and Management top 0.5%
- Sociology and Political Science top 5%
- Marketing top 2%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Mohammed-Issa Riad Mousa Jaradat
- Topics
- Technology Adoption and User Behaviour (11 papers)Digital Marketing and Social Media (6 papers)Organizational and Employee Performance (6 papers)
- Journals
- Journal of Retailing and Consumer ServicesTechnology in SocietyLecture notes in computer science
- Partner nations
- Jordan
In The Last Decade
Khaled M. S. Faqih
13 papers receiving 989 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Information Systems and Management 701
- Sociology and Political Science 543
- Marketing 319
- Artificial Intelligence 162
- Information Systems 117
Countries citing papers authored by Khaled M. S. Faqih
This map shows the geographic impact of Khaled M. S. Faqih'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 Khaled M. S. Faqih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khaled M. S. Faqih more than expected).
Fields of papers citing papers by Khaled M. S. Faqih
This network shows the impact of papers produced by Khaled M. S. Faqih. 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 Khaled M. S. Faqih. The network helps show where Khaled M. S. Faqih may publish in the future.
Co-authorship network of co-authors of Khaled M. S. Faqih
This figure shows the co-authorship network connecting the top 25 collaborators of Khaled M. S. Faqih. A scholar is included among the top collaborators of Khaled M. S. Faqih 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 Khaled M. S. Faqih. Khaled M. S. Faqih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 80 | |
| 3 | 179 | |
| 4 | 8 | |
| 5 | 19 | |
| 6 | 188 | |
| 7 | 29 | |
| 8 | Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspectivebreakdown → | 299 |
| 9 | 53 | |
| 10 | The Performance of Software Reliability Models: A View Point | 2 |
| 11 | Exploring the Influence of Perceived Risk and Internet Self-Efficacy on Consumer Online Shopping Intentions: Perspective of Technology Acceptance Model | 95 |
| 12 | 34 | |
| 13 | What is Hampering the Performance of Software Reliability Models? A literature review | 3 |
About Khaled M. S. Faqih
Khaled M. S. Faqih is a scholar working on Information Systems and Management, Software and Safety, Risk, Reliability and Quality, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (6 papers) and Organizational and Employee Performance (6 papers). The work is most often cited by research in Information Systems and Management (701 citations), Marketing (319 citations) and Sociology and Political Science (543 citations). Khaled M. S. Faqih has collaborated with scholars based in Jordan. Frequent co-authors include Mohammed-Issa Riad Mousa Jaradat. Their work appears in journals such as Journal of Retailing and Consumer Services, Technology in Society and Lecture notes in computer science.
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.