Mohammad Amin Kuhail
- Artificial Intelligence top 5%
- Computer Science Applications top 1%
- Health Informatics top 1%
- Information Systems top 5%
- Developmental and Educational Psychology top 10%
- Co-authors
- Nazik AlturkiSaifeddin AlimamyAreej ElSayaryAhlam AlghamdiJoão NegreirosAhmed SeffahSøren LauesenOmar Alfandi
- Topics
- AI in Service Interactions (12 papers)Digital Mental Health Interventions (6 papers)Online Learning and Analytics (4 papers)
- Partner nations
- United Arab EmiratesSaudi ArabiaUnited States
In The Last Decade
Mohammad Amin Kuhail
35 papers receiving 679 citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 407
- Computer Science Applications 233
- Health Informatics 125
- Information Systems 114
- Developmental and Educational Psychology 67
Countries citing papers authored by Mohammad Amin Kuhail
This map shows the geographic impact of Mohammad Amin Kuhail'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 Mohammad Amin Kuhail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Amin Kuhail more than expected).
Fields of papers citing papers by Mohammad Amin Kuhail
This network shows the impact of papers produced by Mohammad Amin Kuhail. 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 Mohammad Amin Kuhail. The network helps show where Mohammad Amin Kuhail may publish in the future.
Co-authorship network of co-authors of Mohammad Amin Kuhail
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Amin Kuhail. A scholar is included among the top collaborators of Mohammad Amin Kuhail 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 Mohammad Amin Kuhail. Mohammad Amin Kuhail is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 19 | |
| 7 | 0 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 5 | |
| 12 | 38 | |
| 13 | Interacting with educational chatbots: A systematic reviewbreakdown → | 379 |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 39 | |
| 17 | Teaching Recursive Thinking using Unplugged Activities | 3 |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 4 |
About Mohammad Amin Kuhail
Mohammad Amin Kuhail is a scholar working on Computer Science Applications, Applied Psychology and Human-Computer Interaction, having authored 38 papers that have together received 720 indexed citations. Recurring topics across this work include AI in Service Interactions (12 papers), Digital Mental Health Interventions (6 papers) and Online Learning and Analytics (4 papers). The work is most often cited by research in Health Informatics (125 citations), Computer Science Applications (233 citations) and Artificial Intelligence (407 citations). Mohammad Amin Kuhail has collaborated with scholars based in United Arab Emirates, Saudi Arabia and United States. Frequent co-authors include Nazik Alturki, Saifeddin Alimamy, Areej ElSayary, Ahlam Alghamdi, João Negreiros, Ahmed Seffah, Søren Lauesen, Omar Alfandi, Jose Berengueres and Ashraf Khalil. Their work appears in journals such as Computers in Human Behavior, IEEE Access and Applied Sciences.
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.