Yassine Sabbar
- Public Health, Environmental and Occupational Health top 5%
- Modeling and Simulation top 1%
- Genetics
- Plant Science
- Virology top 10%
- Co-authors
- Driss KiouachAnwarud DinAeshah A. RaezahAbdennabi MorchidRachid El AlamiAsad KhanAnwar ZebKottakkaran Sooppy Nisar
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (46 papers)COVID-19 epidemiological studies (30 papers)Fractional Differential Equations Solutions (14 papers)
- Partner nations
- MoroccoSaudi ArabiaChina
In The Last Decade
Yassine Sabbar
49 papers receiving 514 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Public Health, Environmental and Occupational Health 314
- Modeling and Simulation 314
- Genetics 87
- Plant Science 66
- Virology 37
Countries citing papers authored by Yassine Sabbar
This map shows the geographic impact of Yassine Sabbar'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 Yassine Sabbar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yassine Sabbar more than expected).
Fields of papers citing papers by Yassine Sabbar
This network shows the impact of papers produced by Yassine Sabbar. 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 Yassine Sabbar. The network helps show where Yassine Sabbar may publish in the future.
Co-authorship network of co-authors of Yassine Sabbar
This figure shows the co-authorship network connecting the top 25 collaborators of Yassine Sabbar. A scholar is included among the top collaborators of Yassine Sabbar 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 Yassine Sabbar. Yassine Sabbar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 6 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 8 | |
| 14 | 2 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challengesbreakdown → | 112 |
| 18 | 6 | |
| 19 | 40 | |
| 20 | 6 |
About Yassine Sabbar
Yassine Sabbar is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Mathematical Physics, having authored 54 papers that have together received 552 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (46 papers), COVID-19 epidemiological studies (30 papers) and Fractional Differential Equations Solutions (14 papers). The work is most often cited by research in Modeling and Simulation (314 citations), Public Health, Environmental and Occupational Health (314 citations) and Virology (37 citations). Yassine Sabbar has collaborated with scholars based in Morocco, Saudi Arabia and China. Frequent co-authors include Driss Kiouach, Anwarud Din, Aeshah A. Raezah, Abdennabi Morchid, Rachid El Alami, Asad Khan, Anwar Zeb, Kottakkaran Sooppy Nisar, Fatma Özköse and Mehmet Yavuz. Their work appears in journals such as IEEE Access, Gene and Chaos Solitons & Fractals.
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.