Azim Heydari
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Environmental Engineering top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Farshid KeyniaMeysam Majidi NezhadDavide Astiaso GarciaLivio de SantoliFabio BisegnaMehdi NeshatDaniele GroppiGiuseppe Piras
- Topics
- Energy Load and Power Forecasting (16 papers)Wind Energy Research and Development (8 papers)Electric Power System Optimization (6 papers)
- Cited by
- Energy Engineering and Power TechnologyEnvironmental EngineeringElectrical and Electronic Engineering
- Partner nations
- ItalyIranUnited States
In The Last Decade
Azim Heydari
36 papers receiving 914 citations
Peers
Comparison fields: 5 of 76
- Electrical and Electronic Engineering 544
- Artificial Intelligence 170
- Aerospace Engineering 168
- Environmental Engineering 156
- Control and Systems Engineering 127
Countries citing papers authored by Azim Heydari
This map shows the geographic impact of Azim Heydari'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 Azim Heydari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Azim Heydari more than expected).
Fields of papers citing papers by Azim Heydari
This network shows the impact of papers produced by Azim Heydari. 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 Azim Heydari. The network helps show where Azim Heydari may publish in the future.
Co-authorship network of co-authors of Azim Heydari
This figure shows the co-authorship network connecting the top 25 collaborators of Azim Heydari. A scholar is included among the top collaborators of Azim Heydari 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 Azim Heydari. Azim Heydari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 63 | |
| 7 | 3 | |
| 8 | 26 | |
| 9 | 34 | |
| 10 | 43 | |
| 11 | 146 | |
| 12 | 15 | |
| 13 | 23 | |
| 14 | 79 | |
| 15 | 25 | |
| 16 | 5 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | Prediction of Wind Power Generation Through Combining Particle Swarm Optimization and Elman Neural Network (El-PSO) | 7 |
| 20 | 4 |
About Azim Heydari
Azim Heydari is a scholar working on Energy Engineering and Power Technology, Oceanography and Environmental Engineering, having authored 36 papers that have together received 947 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (16 papers), Wind Energy Research and Development (8 papers) and Electric Power System Optimization (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (113 citations), Environmental Engineering (156 citations) and Electrical and Electronic Engineering (544 citations). Azim Heydari has collaborated with scholars based in Italy, Iran and United States. Frequent co-authors include Farshid Keynia, Meysam Majidi Nezhad, Davide Astiaso Garcia, Livio de Santoli, Davide Astiaso Garcia, Fabio Bisegna, Mehdi Neshat, Daniele Groppi, Giuseppe Piras and Lina Bertling Tjernberg. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and IEEE Access.
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.