Norah Almusharraf
- Education top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Computer Science Applications top 1%
- Health Informatics top 0.5%
- Co-authors
- Muhammad ImranShabir Hussain KhahroDaniel BaileyRyan HatcherMohammad NurunnabiHind M. AlotaibiDalal AldeghaitherMuhammad Mujtaba Asad
- Topics
- EFL/ESL Teaching and Learning (21 papers)Online and Blended Learning (10 papers)Second Language Learning and Teaching (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputers in Human BehaviorIEEE Access
- Partner nations
- Saudi ArabiaSouth KoreaPakistan
In The Last Decade
Norah Almusharraf
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Education 527
- Information Systems 272
- Artificial Intelligence 236
- Computer Science Applications 220
- Health Informatics 185
Countries citing papers authored by Norah Almusharraf
This map shows the geographic impact of Norah Almusharraf'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 Norah Almusharraf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norah Almusharraf more than expected).
Fields of papers citing papers by Norah Almusharraf
This network shows the impact of papers produced by Norah Almusharraf. 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 Norah Almusharraf. The network helps show where Norah Almusharraf may publish in the future.
Co-authorship network of co-authors of Norah Almusharraf
This figure shows the co-authorship network connecting the top 25 collaborators of Norah Almusharraf. A scholar is included among the top collaborators of Norah Almusharraf 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 Norah Almusharraf. Norah Almusharraf 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 | 4 | |
| 3 | 16 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 16 | |
| 9 | 194 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 21 | |
| 16 | 71 | |
| 17 | 38 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | 120 |
About Norah Almusharraf
Norah Almusharraf is a scholar working on Health Informatics, Language and Linguistics and Computer Science Applications, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include EFL/ESL Teaching and Learning (21 papers), Online and Blended Learning (10 papers) and Second Language Learning and Teaching (8 papers). The work is most often cited by research in Health Informatics (185 citations), Computer Science Applications (220 citations) and Education (527 citations). Norah Almusharraf has collaborated with scholars based in Saudi Arabia, South Korea and Pakistan. Frequent co-authors include Muhammad Imran, Shabir Hussain Khahro, Daniel Bailey, Ryan Hatcher, Mohammad Nurunnabi, Hind M. Alotaibi, Dalal Aldeghaither, Muhammad Mujtaba Asad, Muhammad Afzaal and Muhammad Imran. Their work appears in journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.
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.