Abdallah Tubaishat
- Artificial Intelligence top 10%
- Education top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Science Applications top 5%
- Co-authors
- Feras Al‐ObeidatBabar ShahEyas El‐QawasmehZahid HalimMuhammad WaqasSajid AnwarSaad RazzaqSteven H. H. Ding
- Topics
- Online and Blended Learning (7 papers)Reflective Practices in Education (6 papers)Blockchain Technology Applications and Security (5 papers)
- Partner nations
- United Arab EmiratesPakistanJordan
In The Last Decade
Abdallah Tubaishat
48 papers receiving 512 citations
Peers
Comparison fields: 5 of 88
- Artificial Intelligence 169
- Education 164
- Information Systems 143
- Computer Networks and Communications 68
- Computer Science Applications 63
Countries citing papers authored by Abdallah Tubaishat
This map shows the geographic impact of Abdallah Tubaishat'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 Abdallah Tubaishat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdallah Tubaishat more than expected).
Fields of papers citing papers by Abdallah Tubaishat
This network shows the impact of papers produced by Abdallah Tubaishat. 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 Abdallah Tubaishat. The network helps show where Abdallah Tubaishat may publish in the future.
Co-authorship network of co-authors of Abdallah Tubaishat
This figure shows the co-authorship network connecting the top 25 collaborators of Abdallah Tubaishat. A scholar is included among the top collaborators of Abdallah Tubaishat 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 Abdallah Tubaishat. Abdallah Tubaishat 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 6 | |
| 8 | 20 | |
| 9 | 31 | |
| 10 | 61 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | Are Students Ready to Adopt E-Learning? A Preliminary E-readiness Study of a University in the Gulf Region | 31 |
| 16 | The Impact of Laptops on Female Students Learning in an Outcome-Based Learning Environment | 4 |
| 17 | 28 | |
| 18 | New hardware architecture for bit-counting | 5 |
| 19 | 6 | |
| 20 | Knowledge Engineering for Automated Program Recognition and Fault Localization. | 7 |
About Abdallah Tubaishat
Abdallah Tubaishat is a scholar working on Software, Computer Science Applications and Information Systems, having authored 51 papers that have together received 568 indexed citations. Recurring topics across this work include Online and Blended Learning (7 papers), Reflective Practices in Education (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Science Applications (63 citations), Information Systems (143 citations) and Education (164 citations). Abdallah Tubaishat has collaborated with scholars based in United Arab Emirates, Pakistan and Jordan. Frequent co-authors include Feras Al‐Obeidat, Babar Shah, Eyas El‐Qawasmeh, Zahid Halim, Muhammad Waqas, Sajid Anwar, Saad Razzaq, Steven H. H. Ding, Abdul Basit Mirza and Sajid Anwar. Their work appears in journals such as IEEE Internet of Things Journal, Neural Computing and Applications 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.