Abeer Aldayel
- Artificial Intelligence top 10%
- Sociology and Political Science
- Statistical and Nonlinear Physics top 10%
- Information Systems
- Management Information Systems
- Co-authors
- Walid MagdyMashael AldayelSaudi ArabiaAbdullah S. Al‐MudimighNikolay BogoychevNorah O. AbanmyMona DiabHend S. Al‐Khalifa
- Topics
- Topic Modeling (3 papers)Misinformation and Its Impacts (2 papers)Sentiment Analysis and Opinion Mining (2 papers)
- Journals
- BMC Health Services ResearchInformation Processing & ManagementLanguage Resources and Evaluation
- Partner nations
- Saudi ArabiaUnited KingdomUnited States
In The Last Decade
Abeer Aldayel
8 papers receiving 235 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 144
- Sociology and Political Science 76
- Statistical and Nonlinear Physics 48
- Information Systems 39
- Management Information Systems 34
Countries citing papers authored by Abeer Aldayel
This map shows the geographic impact of Abeer Aldayel'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 Abeer Aldayel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer Aldayel more than expected).
Fields of papers citing papers by Abeer Aldayel
This network shows the impact of papers produced by Abeer Aldayel. 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 Abeer Aldayel. The network helps show where Abeer Aldayel may publish in the future.
Co-authorship network of co-authors of Abeer Aldayel
This figure shows the co-authorship network connecting the top 25 collaborators of Abeer Aldayel. A scholar is included among the top collaborators of Abeer Aldayel 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 Abeer Aldayel. Abeer Aldayel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | Stance detection on social media: State of the art and trendsbreakdown → | 159 |
| 3 | 8 | |
| 4 | 10 | |
| 5 | MADAD: A Readability Annotation Tool for Arabic Text | 2 |
| 6 | 2 | |
| 7 | 1 | |
| 8 | The Critical Success Factors of ERP implementation in Highe r Education in Saudi Arabia: A Case Study | 42 |
About Abeer Aldayel
Abeer Aldayel is a scholar working on Family Practice, Artificial Intelligence and Information Systems and Management, having authored 8 papers that have together received 248 indexed citations. Recurring topics across this work include Topic Modeling (3 papers), Misinformation and Its Impacts (2 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Artificial Intelligence (144 citations), Communication (30 citations) and Statistical and Nonlinear Physics (48 citations). Abeer Aldayel has collaborated with scholars based in Saudi Arabia, United Kingdom and United States. Frequent co-authors include Walid Magdy, Mashael Aldayel, Saudi Arabia, Abdullah S. Al‐Mudimigh, Nikolay Bogoychev, Norah O. Abanmy, Mona Diab, Hend S. Al‐Khalifa, Mourad Ykhlef and Tao Gong. Their work appears in journals such as BMC Health Services Research, Information Processing & Management and Language Resources and Evaluation.
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.