Idriss Dagal
- Renewable Energy, Sustainability and the Environment top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Energy Engineering and Power Technology top 5%
- Co-authors
- AL-Wesabi IbrahimAbdullrahman A. Al-Shamma’aHassan M. Hussein FarhZhijian FangAmbe HarrisonKai YangAbdullah M. Al‐ShaalanMhamed Sayyouri
- Topics
- Photovoltaic System Optimization Techniques (16 papers)Solar Radiation and Photovoltaics (8 papers)Advanced Battery Technologies Research (7 papers)
- Cited by
- Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentArtificial Intelligence
- Partner nations
- TürkiyeSaudi ArabiaCameroon
In The Last Decade
Idriss Dagal
22 papers receiving 282 citations
Peers
Comparison fields: 5 of 36
- Renewable Energy, Sustainability and the Environment 164
- Electrical and Electronic Engineering 141
- Artificial Intelligence 110
- Control and Systems Engineering 75
- Energy Engineering and Power Technology 54
Countries citing papers authored by Idriss Dagal
This map shows the geographic impact of Idriss Dagal'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 Idriss Dagal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Idriss Dagal more than expected).
Fields of papers citing papers by Idriss Dagal
This network shows the impact of papers produced by Idriss Dagal. 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 Idriss Dagal. The network helps show where Idriss Dagal may publish in the future.
Co-authorship network of co-authors of Idriss Dagal
This figure shows the co-authorship network connecting the top 25 collaborators of Idriss Dagal. A scholar is included among the top collaborators of Idriss Dagal 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 Idriss Dagal. Idriss Dagal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 11 | |
| 18 | 34 | |
| 19 | 16 | |
| 20 | 52 |
About Idriss Dagal
Idriss Dagal is a scholar working on Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology and Automotive Engineering, having authored 27 papers that have together received 294 indexed citations. Recurring topics across this work include Photovoltaic System Optimization Techniques (16 papers), Solar Radiation and Photovoltaics (8 papers) and Advanced Battery Technologies Research (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (54 citations), Renewable Energy, Sustainability and the Environment (164 citations) and Artificial Intelligence (110 citations). Idriss Dagal has collaborated with scholars based in Türkiye, Saudi Arabia and Cameroon. Frequent co-authors include AL-Wesabi Ibrahim, Abdullrahman A. Al-Shamma’a, Hassan M. Hussein Farh, Zhijian Fang, Ambe Harrison, Kai Yang, Abdullah M. Al‐Shaalan, Mhamed Sayyouri, Hassan Qjidaa and Hicham Karmouni. Their work appears in journals such as Scientific Reports, Applied Energy and International Journal of Hydrogen Energy.
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.