Ashraf Darwish
- Plant Science top 10%
- Artificial Intelligence top 10%
- Analytical Chemistry top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Aboul Ella HassanienDalia EzzatMona SolimanEman AhmedAhmed F. AliMohamed ElhosenyNoura MetawaAboul Ella Hassanein
- Topics
- Energy Load and Power Forecasting (4 papers)COVID-19 diagnosis using AI (4 papers)COVID-19 epidemiological studies (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsPLoS ONE
- Partner nations
- EgyptKuwaitUnited Arab Emirates
In The Last Decade
Ashraf Darwish
22 papers receiving 529 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Plant Science 250
- Artificial Intelligence 106
- Analytical Chemistry 91
- Electrical and Electronic Engineering 50
- Computer Networks and Communications 46
Countries citing papers authored by Ashraf Darwish
This map shows the geographic impact of Ashraf Darwish'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 Ashraf Darwish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashraf Darwish more than expected).
Fields of papers citing papers by Ashraf Darwish
This network shows the impact of papers produced by Ashraf Darwish. 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 Ashraf Darwish. The network helps show where Ashraf Darwish may publish in the future.
Co-authorship network of co-authors of Ashraf Darwish
This figure shows the co-authorship network connecting the top 25 collaborators of Ashraf Darwish. A scholar is included among the top collaborators of Ashraf Darwish 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 Ashraf Darwish. Ashraf Darwish 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 | 2 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 42 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | End-to-End Deep Learning Model for Corn Leaf Disease Classificationbreakdown → | 138 |
| 13 | Clearing the air about airborne transmission of SARS-CoV-2 | 4 |
| 14 | 34 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 37 | |
| 18 | 13 | |
| 19 | 7 | |
| 20 | 6 |
About Ashraf Darwish
Ashraf Darwish is a scholar working on Health Informatics, Energy Engineering and Power Technology and Modeling and Simulation, having authored 27 papers that have together received 564 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (4 papers), COVID-19 diagnosis using AI (4 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Analytical Chemistry (91 citations), Plant Science (250 citations) and Artificial Intelligence (106 citations). Ashraf Darwish has collaborated with scholars based in Egypt, Kuwait and United Arab Emirates. Frequent co-authors include Aboul Ella Hassanien, Dalia Ezzat, Mona Soliman, Eman Ahmed, Ahmed F. Ali, Mohamed Elhoseny, Noura Metawa, Aboul Ella Hassanein, Omar M. Elzeki and Václav Snåšel. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and PLoS ONE.
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.