Sadegh Afzal

740 citations
12 papers · 557 indexed · 1 hit paper · h-index 8
Topics
Building Energy and Comfort Optimization (6 papers)Solar Thermal and Photovoltaic Systems (6 papers)Energy Load and Power Forecasting (4 papers)
Partner nations
IranChina

In The Last Decade

Sadegh Afzal

10 papers receiving 531 citations

Hit Papers

Building energy consumption prediction using multilayer p...202320262024202520234080120

Peers

Sadegh Afzal
Comparison fields: 5 of 65
  • Mechanical Engineering 242
  • Renewable Energy, Sustainability and the Environment 214
  • Electrical and Electronic Engineering 163
  • Building and Construction 129
  • Statistical and Nonlinear Physics 71
Replace Behnam Sobhani with:
Behnam Sobhani Iran
Giuseppe Franchini Italy
Hamid Shakibi Iran
Rodrigo Barraza Chile
Javier Bonilla Spain
Martín Picón‐Núñez Mexico
Harald Taxt Walnum Norway
Florian Schlosser Germany
Hassan Jaber France
Shengyuan Zhong China
Sadegh Afzal relative to Behnam Sobhani Iran Behnam Sobhani's profile →
Citations per field
00.5×1.6×
Behnam Sobhani · 1×
Citations per year

Countries citing papers authored by Sadegh Afzal

Since Specialization
Citations

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

Fields of papers citing papers by Sadegh Afzal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sadegh Afzal

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3 4
4 6
5 20
6 23
7
Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithmsbreakdown →
121
8 60
9 85
10 22
11 36
12 180

About Sadegh Afzal

Sadegh Afzal is a scholar working on Building and Construction, Renewable Energy, Sustainability and the Environment and Conservation, having authored 12 papers that have together received 557 indexed citations. Recurring topics across this work include Building Energy and Comfort Optimization (6 papers), Solar Thermal and Photovoltaic Systems (6 papers) and Energy Load and Power Forecasting (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (44 citations), Renewable Energy, Sustainability and the Environment (214 citations) and Building and Construction (129 citations). Sadegh Afzal has collaborated with scholars based in Iran and China. Frequent co-authors include Behrooz M. Ziapour, Afshar Shokri, Hamid Shakibi, Behnam Sobhani, Yazhou Xing, Limin Shao, Nan Wang and Hadi Ahmadi. Their work appears in journals such as Expert Systems with Applications, Energy Conversion and Management and 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.

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