Ashkan Entezari

10 papers receiving 379 citations

Hit Papers

Artificial intelligence and machine learning in energy sy...2022202620232024202250100150

Peers

Ashkan Entezari
Comparison fields: 5 of 69
  • Electrical and Electronic Engineering 130
  • Mechanical Engineering 120
  • Renewable Energy, Sustainability and the Environment 94
  • Energy Engineering and Power Technology 61
  • Materials Chemistry 52
Replace Reza Dashti with:
Reza Dashti Iran
Yulineth Cárdenas Escorcia Colombia
Theyab R. Alsenani Saudi Arabia
Abdullah Albaker Saudi Arabia
Hao Lu China
Diederik Coppitters Belgium
José Ramos Spain
Mehdi Aliehyaei Iran
Amir Mortazavi United States
Ashkan Entezari relative to Reza Dashti Iran Reza Dashti's profile →
Citations per field
00.5×4.7×
Reza Dashti · 1×
Citations per year

Countries citing papers authored by Ashkan Entezari

Since Specialization
Citations

This map shows the geographic impact of Ashkan Entezari'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 Ashkan Entezari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashkan Entezari more than expected).

Fields of papers citing papers by Ashkan Entezari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashkan Entezari. 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 Ashkan Entezari. The network helps show where Ashkan Entezari may publish in the future.

Co-authorship network of co-authors of Ashkan Entezari

This figure shows the co-authorship network connecting the top 25 collaborators of Ashkan Entezari. A scholar is included among the top collaborators of Ashkan Entezari 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 Ashkan Entezari. Ashkan Entezari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 1
2 10
3 19
4
Artificial intelligence and machine learning in energy systems: A bibliographic perspectivebreakdown →
191
5 21
6 13
7 36
8 40
9 61
10 13

About Ashkan Entezari

Ashkan Entezari is a scholar working on Energy Engineering and Power Technology, Catalysis and Mechanical Engineering, having authored 10 papers that have together received 405 indexed citations. Recurring topics across this work include Advanced Thermodynamic Systems and Engines (3 papers), Thermodynamic and Exergetic Analyses of Power and Cooling Systems (3 papers) and Hybrid Renewable Energy Systems (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (61 citations), Renewable Energy, Sustainability and the Environment (94 citations) and General Energy (5 citations). Ashkan Entezari has collaborated with scholars based in Iran. Frequent co-authors include Alireza Aslani, Rahim Zahedi, Younes Noorollahi, Rouhollah Ahmadi, Abolfazl Ahmadi, Fathollah Pourfayaz, Farbod Esmaeilion and Hossein Yousefi. Their work appears in journals such as International Journal of Hydrogen Energy, Energy Conversion and Management and Fuel.

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.

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