Ali Malkawi

4.0k total citations
79 papers, 3.0k citations indexed

About

Ali Malkawi is a scholar working on Building and Construction, Environmental Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Ali Malkawi has authored 79 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Building and Construction, 43 papers in Environmental Engineering and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Ali Malkawi's work include Building Energy and Comfort Optimization (51 papers), Wind and Air Flow Studies (39 papers) and Urban Heat Island Mitigation (15 papers). Ali Malkawi is often cited by papers focused on Building Energy and Comfort Optimization (51 papers), Wind and Air Flow Studies (39 papers) and Urban Heat Island Mitigation (15 papers). Ali Malkawi collaborates with scholars based in United States, South Korea and China. Ali Malkawi's co-authors include Yujiao Chen, Zheming Tong, Nuria Pelechano, Yun Kyu Yi, Holly Samuelson, Branko Kolarevic, Xiwang Li, Leslie K. Norford, Xuefeng Gao and Ravi Srinivasan and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Ali Malkawi

77 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ali Malkawi United States 26 2.0k 1.3k 396 357 277 79 3.0k
Godfried Augenbroe United States 34 3.1k 1.5× 1.6k 1.3× 302 0.8× 476 1.3× 153 0.6× 147 4.1k
Xing Shi China 32 1.8k 0.9× 938 0.7× 437 1.1× 350 1.0× 60 0.2× 109 3.1k
Ardeshir Mahdavi Austria 33 3.7k 1.8× 1.8k 1.4× 221 0.6× 417 1.2× 130 0.5× 291 4.6k
Radu Zmeureanu Canada 29 2.8k 1.4× 1.3k 1.0× 547 1.4× 935 2.6× 78 0.3× 134 3.9k
Vincent J.L. Gan Singapore 35 2.0k 1.0× 918 0.7× 203 0.5× 153 0.4× 102 0.4× 86 3.5k
H. Burak Gunay Canada 28 2.9k 1.4× 1.1k 0.8× 143 0.4× 508 1.4× 118 0.4× 84 3.4k
Salvatore Carlucci Norway 29 3.2k 1.6× 1.8k 1.5× 302 0.8× 479 1.3× 46 0.2× 75 3.9k
Khee Poh Lam United States 23 2.0k 1.0× 883 0.7× 215 0.5× 648 1.8× 67 0.2× 68 2.5k
Farrokh Jazizadeh United States 26 2.4k 1.2× 735 0.6× 255 0.6× 739 2.1× 87 0.3× 82 3.3k
Yu Huang China 25 3.1k 1.6× 1.9k 1.5× 552 1.4× 599 1.7× 29 0.1× 77 3.9k

Countries citing papers authored by Ali Malkawi

Since Specialization
Citations

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

Fields of papers citing papers by Ali Malkawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Malkawi

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

All Works

20 of 20 papers shown
1.
Wu, Wentao, et al.. (2025). A machine learning-guided semi-empirical model for predicting single-sided natural ventilation rates. Energy and Buildings. 344. 115974–115974.
2.
Malkawi, Ali, et al.. (2024). A two-year dataset of energy, environment, and system operations for an ultra-low energy office building. Scientific Data. 11(1). 938–938. 5 indexed citations
3.
Malkawi, Ali, et al.. (2023). Design and applications of an IoT architecture for data-driven smart building operations and experimentation. Energy and Buildings. 295. 113291–113291. 25 indexed citations
4.
5.
Han, Xu, Shide Salimi, Ali Malkawi, Xiaoshi Wang, & Na Li. (2023). A validated high-fidelity simulator for an ultra-efficient office building based on coupled EnergyPlus-Modelica models. Building Simulation Conference proceedings. 18. 1 indexed citations
6.
Han, Xu, et al.. (2023). Field study of data-driven model predictive control for GEOTABS in an ultra-low energy office building. Building Simulation Conference proceedings. 18. 1 indexed citations
7.
8.
Malkawi, Ali, et al.. (2022). Data-Informed Building Energy Management (DIBEM) Towards Ultra-Low Energy Buildings. SSRN Electronic Journal. 3 indexed citations
9.
Ang, Yu Qian, et al.. (2021). Using recurrent neural networks for localized weather prediction with combined use of public airport data and on-site measurements. Building and Environment. 192. 107601–107601. 58 indexed citations
10.
Yoon, Nari, et al.. (2020). Optimization of Window Positions for Wind-Driven Natural Ventilation Performance. Energies. 13(10). 2464–2464. 25 indexed citations
11.
Wu, Wentao, et al.. (2018). A Method toward Real-Time CFD Modeling for Natural Ventilation. Fluids. 3(4). 101–101. 14 indexed citations
12.
Tong, Zheming, Yujiao Chen, Ali Malkawi, Gary Adamkiewicz, & John D. Spengler. (2016). Quantifying the impact of traffic-related air pollution on the indoor air quality of a naturally ventilated building. Environment International. 89-90. 138–146. 189 indexed citations
13.
14.
Gao, Xuefeng & Ali Malkawi. (2014). A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm. Energy and Buildings. 84. 607–616. 127 indexed citations
15.
Yan, Bin & Ali Malkawi. (2012). Predicting System Performance with Uncertainty. OakTrust (Texas A&M University Libraries).
16.
Malkawi, Ali & Ravi Srinivasan. (2004). A new paradigm for Human-Building Interaction: the use of CFD and Augmented Reality. Automation in Construction. 14(1). 71–84. 76 indexed citations
17.
Augenbroe, Godfried, et al.. (2003). The design analysis integration (DAI) initiative. Cambridge University Engineering Department Publications Database. 11 indexed citations
18.
Choudhary, Ruchi & Ali Malkawi. (2002). Integration of CFD and genetic algorithms. Cambridge University Engineering Department Publications Database. 7 indexed citations
19.
Choudhary, Ruchi & Ali Malkawi. (2001). A methodology for micro-level building thermal analysis: combining CFD and experimental set-ups. Cambridge University Engineering Department Publications Database. 1 indexed citations
20.
Malkawi, Ali & Ruchi Choudhary. (1999). Visualizing the Sensed Environment in the Real World. 3(1). 61–69. 6 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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