Thamer Alhussain
- Experimental and Cognitive Psychology top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Information Systems and Management top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Tariqullah JanEdward JonesMohammad Haseeb ZafarRuhul Amin KhalilMohammad Inayatullah BabarSteve DrewRayed AlGhamdiSalem Alkhalaf
- Topics
- Technology Adoption and User Behaviour (7 papers)E-Government and Public Services (6 papers)Privacy, Security, and Data Protection (5 papers)
- Partner nations
- Saudi ArabiaAustraliaSouth Korea
In The Last Decade
Thamer Alhussain
22 papers receiving 624 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Experimental and Cognitive Psychology 255
- Signal Processing 208
- Artificial Intelligence 184
- Information Systems and Management 114
- Computer Vision and Pattern Recognition 100
Countries citing papers authored by Thamer Alhussain
This map shows the geographic impact of Thamer Alhussain'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 Thamer Alhussain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thamer Alhussain more than expected).
Fields of papers citing papers by Thamer Alhussain
This network shows the impact of papers produced by Thamer Alhussain. 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 Thamer Alhussain. The network helps show where Thamer Alhussain may publish in the future.
Co-authorship network of co-authors of Thamer Alhussain
This figure shows the co-authorship network connecting the top 25 collaborators of Thamer Alhussain. A scholar is included among the top collaborators of Thamer Alhussain 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 Thamer Alhussain. Thamer Alhussain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 11 | |
| 7 | 28 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | Assessing Information Quality of Blackboard System | 2 |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | The Effects of Website Quality on Adoption of E-Government Service: An Empirical Study Applying UTAUT Model Using SEM | 50 |
| 17 | 40 | |
| 18 | 31 | |
| 19 | 6 | |
| 20 | 5 |
About Thamer Alhussain
Thamer Alhussain is a scholar working on Information Systems and Management, Transportation and Political Science and International Relations, having authored 22 papers that have together received 669 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (7 papers), E-Government and Public Services (6 papers) and Privacy, Security, and Data Protection (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (255 citations), Signal Processing (208 citations) and Information Systems and Management (114 citations). Thamer Alhussain has collaborated with scholars based in Saudi Arabia, Australia and South Korea. Frequent co-authors include Tariqullah Jan, Edward Jones, Mohammad Haseeb Zafar, Ruhul Amin Khalil, Mohammad Inayatullah Babar, Steve Drew, Rayed AlGhamdi, Salem Alkhalaf, Mohammed Alshehri and Osama Alfarraj. Their work appears in journals such as IEEE Access, Journal of the Association for Information Systems and Soft Computing.
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.