Mousa Al-kfairy

987 citations
56 papers · 502 indexed · 2 hit papers · h-index 14
Topics
Technology Adoption and User Behaviour (11 papers)Virtual Reality Applications and Impacts (10 papers)Ethics and Social Impacts of AI (7 papers)

In The Last Decade

Mousa Al-kfairy

47 papers receiving 483 citations

Hit Papers

Ethical Challenges and Solutions of Generative AI: An Int...20242026202520242024204060

Peers

Mousa Al-kfairy
Comparison fields: 5 of 78
  • Information Systems 133
  • Artificial Intelligence 105
  • Information Systems and Management 95
  • Human-Computer Interaction 95
  • Sociology and Political Science 67
Replace Bayan Abu Shawar with:
Bayan Abu Shawar United Kingdom
Rajat Kumar Behera India
Johannes Schneider Liechtenstein
Marjo Kauppinen Finland
Sarah Oeste-Reiß Germany
Lingyao Yuan United States
Aaron M. French United States
Maria Rigou Greece
Kwonsang Sohn South Korea
Sebastian Baltes Germany
Mousa Al-kfairy relative to Bayan Abu Shawar United Kingdom Bayan Abu Shawar's profile →
Citations per field
00.5×4.8×
Bayan Abu Shawar · 1×
Citations per year

Countries citing papers authored by Mousa Al-kfairy

Since Specialization
Citations

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

Fields of papers citing papers by Mousa Al-kfairy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mousa Al-kfairy. 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 Mousa Al-kfairy. The network helps show where Mousa Al-kfairy may publish in the future.

Co-authorship network of co-authors of Mousa Al-kfairy

This figure shows the co-authorship network connecting the top 25 collaborators of Mousa Al-kfairy. A scholar is included among the top collaborators of Mousa Al-kfairy 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 Mousa Al-kfairy. Mousa Al-kfairy 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 0
2 10
3 0
4 2
5 0
6 19
7
Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspectivebreakdown →
68
8 0
9 3
10 3
11 0
12 27
13 1
14 28
15 15
16 1
17 15
18 15
19 2
20 5

About Mousa Al-kfairy

Mousa Al-kfairy is a scholar working on Health Informatics, Human-Computer Interaction and Information Systems and Management, having authored 56 papers that have together received 502 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Virtual Reality Applications and Impacts (10 papers) and Ethics and Social Impacts of AI (7 papers). The work is most often cited by research in Health Informatics (53 citations), Human-Computer Interaction (95 citations) and Information Systems and Management (95 citations). Mousa Al-kfairy has collaborated with scholars based in United Arab Emirates, United Kingdom and Jordan. Frequent co-authors include Omar Alfandi, Saed Alrabaee, Robert B. Mellor, Nir Kshetri, Souheil Khaddaj, Ashraf Khalil, Ahmed Shuhaiber, Mohammad Tubishat, Hussam Al Hamadi and Fatma Taher. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sustainability.

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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