Mohammad Moradi-Dalvand
- Electrical and Electronic Engineering top 5%
- Control and Systems Engineering top 5%
- Energy Engineering and Power Technology top 5%
- Automotive Engineering top 10%
- Artificial Intelligence
- Co-authors
- Behnam Mohammadi‐IvatlooAbbas RabieeManijeh AlipourKazem ZareArsalan NajafiHassan GhasemiAli ShahmohammadiMohammad Sadegh Ghazizadeh
- Topics
- Electric Power System Optimization (6 papers)Integrated Energy Systems Optimization (4 papers)Smart Grid Energy Management (4 papers)
In The Last Decade
Mohammad Moradi-Dalvand
9 papers receiving 789 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 764
- Control and Systems Engineering 236
- Energy Engineering and Power Technology 124
- Automotive Engineering 94
- Artificial Intelligence 73
Countries citing papers authored by Mohammad Moradi-Dalvand
This map shows the geographic impact of Mohammad Moradi-Dalvand'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 Mohammad Moradi-Dalvand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Moradi-Dalvand more than expected).
Fields of papers citing papers by Mohammad Moradi-Dalvand
This network shows the impact of papers produced by Mohammad Moradi-Dalvand. 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 Mohammad Moradi-Dalvand. The network helps show where Mohammad Moradi-Dalvand may publish in the future.
Co-authorship network of co-authors of Mohammad Moradi-Dalvand
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Moradi-Dalvand. A scholar is included among the top collaborators of Mohammad Moradi-Dalvand 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 Mohammad Moradi-Dalvand. Mohammad Moradi-Dalvand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 3 | |
| 3 | 144 | |
| 4 | 45 | |
| 5 | 116 | |
| 6 | 65 | |
| 7 | 268 | |
| 8 | 140 | |
| 9 | 4 |
About Mohammad Moradi-Dalvand
Mohammad Moradi-Dalvand is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 9 papers that have together received 815 indexed citations. Recurring topics across this work include Electric Power System Optimization (6 papers), Integrated Energy Systems Optimization (4 papers) and Smart Grid Energy Management (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (124 citations), Electrical and Electronic Engineering (764 citations) and Control and Systems Engineering (236 citations). Mohammad Moradi-Dalvand has collaborated with scholars based in Iran, Canada and Vietnam. Frequent co-authors include Behnam Mohammadi‐Ivatloo, Abbas Rabiee, Manijeh Alipour, Kazem Zare, Arsalan Najafi, Hassan Ghasemi, Ali Shahmohammadi, Mohammad Sadegh Ghazizadeh, Nima Amjady and Hamidreza Zareipour. Their work appears in journals such as IEEE Transactions on Power Systems, Energy and IEEE Transactions on Power Delivery.
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.