Zakaria Ziadi
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Materials Chemistry
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Toshihisa FunabashiMasato OshiroTomonobu SenjyuMamdouh Abdel‐AkherPawan KumarMukhles SowwanMohamed M. AlyAtsushi Yona
- Topics
- Microgrid Control and Optimization (15 papers)Optimal Power Flow Distribution (12 papers)Smart Grid Energy Management (8 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringEnergy Engineering and Power Technology
- Journals
- ACS NanoScientific ReportsNanoscale
In The Last Decade
Zakaria Ziadi
25 papers receiving 504 citations
Peers
Comparison fields: 5 of 41
- Electrical and Electronic Engineering 396
- Control and Systems Engineering 221
- Materials Chemistry 111
- Biomedical Engineering 83
- Molecular Biology 72
Countries citing papers authored by Zakaria Ziadi
This map shows the geographic impact of Zakaria Ziadi'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 Zakaria Ziadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zakaria Ziadi more than expected).
Fields of papers citing papers by Zakaria Ziadi
This network shows the impact of papers produced by Zakaria Ziadi. 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 Zakaria Ziadi. The network helps show where Zakaria Ziadi may publish in the future.
Co-authorship network of co-authors of Zakaria Ziadi
This figure shows the co-authorship network connecting the top 25 collaborators of Zakaria Ziadi. A scholar is included among the top collaborators of Zakaria Ziadi 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 Zakaria Ziadi. Zakaria Ziadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 13 | |
| 6 | 23 | |
| 7 | 77 | |
| 8 | 25 | |
| 9 | 24 | |
| 10 | 2 | |
| 11 | 8 | |
| 12 | 71 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 12 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 4 |
About Zakaria Ziadi
Zakaria Ziadi is a scholar working on Control and Systems Engineering, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 25 papers that have together received 513 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (15 papers), Optimal Power Flow Distribution (12 papers) and Smart Grid Energy Management (8 papers). The work is most often cited by research in Control and Systems Engineering (221 citations), Electrical and Electronic Engineering (396 citations) and Energy Engineering and Power Technology (20 citations). Zakaria Ziadi has collaborated with scholars based in Japan, Egypt and India. Frequent co-authors include Toshihisa Funabashi, Masato Oshiro, Tomonobu Senjyu, Mamdouh Abdel‐Akher, Pawan Kumar, Mukhles Sowwan, Mohamed M. Aly, Atsushi Yona, Naomitsu Urasaki and Yohei Yokobayashi. Their work appears in journals such as ACS Nano, Scientific Reports and Nanoscale.
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.