Islam Taj-Eddin
- Education top 5%
- Information Systems top 5%
- Artificial Intelligence
- Computer Science Applications top 10%
- Computer Networks and Communications
- Co-authors
- Samir Abou El-SeoudMahmoud M. El-KhoulyHosam F. El-SofanyMohamed A. HamadaOmar H. KaramBrian J. MurphyVictor Y. PanYuqing Tang
- Topics
- Online and Blended Learning (8 papers)Online Learning and Analytics (2 papers)Electromagnetic Scattering and Analysis (2 papers)
- Journals
- ACM Computing SurveysComputers & Mathematics with ApplicationsNeural Computing and Applications
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Islam Taj-Eddin
29 papers receiving 433 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Education 211
- Information Systems 154
- Artificial Intelligence 80
- Computer Science Applications 45
- Computer Networks and Communications 39
Countries citing papers authored by Islam Taj-Eddin
This map shows the geographic impact of Islam Taj-Eddin'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 Islam Taj-Eddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Islam Taj-Eddin more than expected).
Fields of papers citing papers by Islam Taj-Eddin
This network shows the impact of papers produced by Islam Taj-Eddin. 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 Islam Taj-Eddin. The network helps show where Islam Taj-Eddin may publish in the future.
Co-authorship network of co-authors of Islam Taj-Eddin
This figure shows the co-authorship network connecting the top 25 collaborators of Islam Taj-Eddin. A scholar is included among the top collaborators of Islam Taj-Eddin 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 Islam Taj-Eddin. Islam Taj-Eddin 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 | 20 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 33 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 13 | |
| 10 | 9 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | E-Learning and Students' Motivation: A Research Study on the Effect of E-Learning on Higher Educationbreakdown → | 258 |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 4 | |
| 17 | Intelligent Word-Based Spam Filter Detection Using Multi-Neural Networks | 19 |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 3 |
About Islam Taj-Eddin
Islam Taj-Eddin is a scholar working on Computational Mathematics, Software and Health Information Management, having authored 30 papers that have together received 486 indexed citations. Recurring topics across this work include Online and Blended Learning (8 papers), Online Learning and Analytics (2 papers) and Electromagnetic Scattering and Analysis (2 papers). The work is most often cited by research in Computer Science Applications (45 citations), Education (211 citations) and Information Systems (154 citations). Islam Taj-Eddin has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Samir Abou El-Seoud, Mahmoud M. El-Khouly, Hosam F. El-Sofany, Mohamed A. Hamada, Omar H. Karam, Brian J. Murphy, Victor Y. Pan, Yuqing Tang, Xiaodong Yan and Asmaa Ibrahim. Their work appears in journals such as ACM Computing Surveys, Computers & Mathematics with Applications and Neural Computing and Applications.
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.