Fazel Khayatian

481 total citations
12 papers, 341 citations indexed

About

Fazel Khayatian is a scholar working on Building and Construction, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Fazel Khayatian has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Building and Construction, 7 papers in Environmental Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Fazel Khayatian's work include Building Energy and Comfort Optimization (9 papers), Wind and Air Flow Studies (5 papers) and Urban Heat Island Mitigation (3 papers). Fazel Khayatian is often cited by papers focused on Building Energy and Comfort Optimization (9 papers), Wind and Air Flow Studies (5 papers) and Urban Heat Island Mitigation (3 papers). Fazel Khayatian collaborates with scholars based in Switzerland, Italy and United States. Fazel Khayatian's co-authors include Giuliano Dall’O’, Luca Sarto, Raha Sulaiman, Norhayati Mahyuddin, Zoltán Nagy, Andrew Bollinger, Hanmin Cai, Philipp Heer, Roy S. Smith and Bahman Ghiassi and has published in prestigious journals such as Applied Energy, Construction and Building Materials and Energy and Buildings.

In The Last Decade

Fazel Khayatian

12 papers receiving 328 citations

Peers

Fazel Khayatian
Fazel Khayatian
Citations per year, relative to Fazel Khayatian Fazel Khayatian (= 1×) peers Luca Sarto

Countries citing papers authored by Fazel Khayatian

Since Specialization
Citations

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

Fields of papers citing papers by Fazel Khayatian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fazel Khayatian

This figure shows the co-authorship network connecting the top 25 collaborators of Fazel Khayatian. A scholar is included among the top collaborators of Fazel Khayatian 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 Fazel Khayatian. Fazel Khayatian 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
1.
Rezazadeh, Mohammadali, et al.. (2024). A new bond-slip model for NSM FRP systems using cement-based adhesives through artificial neural networks (ANN). Construction and Building Materials. 427. 136034–136034. 6 indexed citations
2.
Mahyuddin, Norhayati, et al.. (2023). Phase change material (PCM) integrations into buildings in hot climates with simulation access for energy performance and thermal comfort: A review. Construction and Building Materials. 397. 132312–132312. 85 indexed citations
3.
Cai, Hanmin, et al.. (2023). Data-driven predictive control for demand side management: Theoretical and experimental results. Applied Energy. 353. 122101–122101. 14 indexed citations
4.
Khayatian, Fazel, et al.. (2022). On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)). 208–217. 5 indexed citations
5.
Khayatian, Fazel, Zoltán Nagy, & Andrew Bollinger. (2021). Using generative adversarial networks to evaluate robustness of reinforcement learning agents against uncertainties. Energy and Buildings. 251. 111334–111334. 17 indexed citations
6.
Cai, Hanmin, Fazel Khayatian, & Philipp Heer. (2021). Experiment strategy for evaluating advanced building energy management system. Journal of Physics Conference Series. 2042(1). 12030–12030. 2 indexed citations
7.
Fu, Yu, Tongyu Zhou, Isaac Lun, et al.. (2021). A data-driven approach for window opening predictions in non-air-conditioned buildings. Intelligent Buildings International. 14(3). 329–345. 4 indexed citations
8.
Khayatian, Fazel, et al.. (2020). Unsupervised learning for feature projection: Extracting patterns from multidimensional building measurements. Energy and Buildings. 224. 110228–110228. 6 indexed citations
9.
Khayatian, Fazel, et al.. (2018). Hybrid Probabilistic–Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering. 4(4). 4 indexed citations
10.
Dall’O’, Giuliano, et al.. (2017). Evaluation of cities’ smartness by means of indicators for small and medium cities and communities: A methodology for Northern Italy. Sustainable Cities and Society. 34. 193–202. 74 indexed citations
11.
Khayatian, Fazel, Luca Sarto, & Giuliano Dall’O’. (2017). Building energy retrofit index for policy making and decision support at regional and national scales. Applied Energy. 206. 1062–1075. 32 indexed citations
12.
Khayatian, Fazel, Luca Sarto, & Giuliano Dall’O’. (2016). Application of neural networks for evaluating energy performance certificates of residential buildings. Energy and Buildings. 125. 45–54. 92 indexed citations

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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