Hasan Rashaideh
- Education top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Science Applications top 5%
- Clinical Psychology
- Co-authors
- Shadi AljawarnehHadeel AlharbiAbdelsalam M. MaatukEbitisam K. ElberkawiOmar Abu ArqubOmar A. AlzubiJafar A. AlzubiOmar Almomani
- Topics
- Fractional Differential Equations Solutions (3 papers)Topic Modeling (2 papers)Time Series Analysis and Forecasting (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsJournal of Information Science
- Partner nations
- JordanSaudi ArabiaMalaysia
In The Last Decade
Hasan Rashaideh
13 papers receiving 700 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Education 228
- Artificial Intelligence 178
- Information Systems 166
- Computer Science Applications 100
- Clinical Psychology 95
Countries citing papers authored by Hasan Rashaideh
This map shows the geographic impact of Hasan Rashaideh'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 Hasan Rashaideh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hasan Rashaideh more than expected).
Fields of papers citing papers by Hasan Rashaideh
This network shows the impact of papers produced by Hasan Rashaideh. 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 Hasan Rashaideh. The network helps show where Hasan Rashaideh may publish in the future.
Co-authorship network of co-authors of Hasan Rashaideh
This figure shows the co-authorship network connecting the top 25 collaborators of Hasan Rashaideh. A scholar is included among the top collaborators of Hasan Rashaideh 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 Hasan Rashaideh. Hasan Rashaideh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The COVID-19 pandemic and E-learning: challenges and opportunities from the perspective of students and instructorsbreakdown → | 462 |
| 2 | 39 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | Consensus-based combining method for classifier ensembles. | 40 |
| 6 | 26 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | 122 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 9 |
About Hasan Rashaideh
Hasan Rashaideh is a scholar working on Modeling and Simulation, Numerical Analysis and Statistics and Probability, having authored 15 papers that have together received 738 indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (3 papers), Topic Modeling (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Computer Science Applications (100 citations), Modeling and Simulation (77 citations) and Numerical Analysis (43 citations). Hasan Rashaideh has collaborated with scholars based in Jordan, Saudi Arabia and Malaysia. Frequent co-authors include Shadi Aljawarneh, Hadeel Alharbi, Abdelsalam M. Maatuk, Ebitisam K. Elberkawi, Omar Abu Arqub, Omar A. Alzubi, Jafar A. Alzubi, Omar Almomani, Sara Tedmori and Mohammed Azmi Al‐Betar. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Journal of Information Science.
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.