Aowabin Rahman

1.3k total citations · 1 hit paper
21 papers, 987 citations indexed

About

Aowabin Rahman is a scholar working on Mechanical Engineering, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Aowabin Rahman has authored 21 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Building and Construction and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Aowabin Rahman's work include Building Energy and Comfort Optimization (6 papers), Energy Load and Power Forecasting (4 papers) and Wind and Air Flow Studies (3 papers). Aowabin Rahman is often cited by papers focused on Building Energy and Comfort Optimization (6 papers), Energy Load and Power Forecasting (4 papers) and Wind and Air Flow Studies (3 papers). Aowabin Rahman collaborates with scholars based in United States, South Korea and Singapore. Aowabin Rahman's co-authors include Amanda D. Smith, Vivek Srikumar, Ashley D. Spear, Nelson Fumo, Matthew S. Radue, Prathamesh Deshpande, Gregory M. Odegard, Susanta Ghosh, S. Gowtham and Casey Burleyson and has published in prestigious journals such as Carbon, Applied Energy and IEEE Access.

In The Last Decade

Aowabin Rahman

18 papers receiving 955 citations

Hit Papers

Predicting electricity consumption for commercial and res... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aowabin Rahman United States 12 527 399 168 159 149 21 987
Arash Moradzadeh Iran 22 899 1.7× 241 0.6× 193 1.1× 106 0.7× 127 0.9× 44 1.3k
Taib Ibrahim Malaysia 16 783 1.5× 513 1.3× 191 1.1× 238 1.5× 143 1.0× 90 1.4k
Dac-Khuong Bui Australia 10 429 0.8× 650 1.6× 114 0.7× 78 0.5× 283 1.9× 14 1.3k
Yunyang Ye United States 16 438 0.8× 693 1.7× 164 1.0× 130 0.8× 327 2.2× 48 1.1k
Quan Zhou China 13 488 0.9× 101 0.3× 39 0.2× 138 0.9× 103 0.7× 73 960
Olcay Ersel Canyurt Türkiye 16 489 0.9× 128 0.3× 155 0.9× 212 1.3× 70 0.5× 38 995
José I. Bilbao Australia 16 739 1.4× 391 1.0× 419 2.5× 229 1.4× 362 2.4× 30 1.4k
Alireza Zendehboudi China 22 322 0.6× 173 0.4× 250 1.5× 660 4.2× 67 0.4× 35 1.3k
Saman Taheri United States 14 374 0.7× 379 0.9× 96 0.6× 124 0.8× 170 1.1× 18 832
Firas Basim Ismail Malaysia 16 653 1.2× 76 0.2× 393 2.3× 321 2.0× 75 0.5× 86 1.5k

Countries citing papers authored by Aowabin Rahman

Since Specialization
Citations

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

Fields of papers citing papers by Aowabin Rahman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aowabin Rahman

This figure shows the co-authorship network connecting the top 25 collaborators of Aowabin Rahman. A scholar is included among the top collaborators of Aowabin Rahman 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 Aowabin Rahman. Aowabin Rahman 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.
Rahman, Aowabin, et al.. (2025). Risk‐aware autonomous search and rescue with multiagent reinforcement learning. Risk Analysis. 45(12). 4490–4504.
2.
Rahman, Aowabin, et al.. (2023). A Computational Framework for Control Co-Design of Resilient Cyber–Physical Systems With Applications to Microgrids. IEEE Transactions on Control Systems Technology. 32(3). 793–804. 3 indexed citations
3.
Rahman, Aowabin, et al.. (2023). Copper: a performance curve generator for buildingenergy simulation. The Journal of Open Source Software. 8(82). 4876–4876.
4.
Rahman, Aowabin, et al.. (2022). Methodology and analytical approach to investigate the impact of building temperature setpoint schedules. Journal of Building Performance Simulation. 15(1). 128–147. 1 indexed citations
5.
Burleyson, Casey, et al.. (2022). tell: a Python package to model future totalelectricity loads in the United States. The Journal of Open Source Software. 7(79). 4472–4472. 11 indexed citations
6.
Rahman, Aowabin, et al.. (2022). Compilation, Analysis and Application of a Comprehensive Bangla Corpus KUMono. IEEE Access. 10. 79999–80014. 13 indexed citations
7.
Lee, Joon‐Yong, Aowabin Rahman, Sen Huang, Amanda D. Smith, & Srinivas Katipamula. (2022). On-policy learning-based deep reinforcement learning assessment for building control efficiency and stability. Science and Technology for the Built Environment. 28(9). 1150–1165. 8 indexed citations
8.
Rahman, Aowabin, et al.. (2022). AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning. 1–7. 2 indexed citations
9.
Burleyson, Casey, Aowabin Rahman, Jennie S. Rice, Amanda D. Smith, & Nathalie Voisin. (2021). Multiscale effects masked the impact of the COVID-19 pandemic on electricity demand in the United States. Applied Energy. 304. 117711–117711. 22 indexed citations
10.
Lee, Joon‐Yong, Sen Huang, Aowabin Rahman, Amanda D. Smith, & Srinivas Katipamula. (2020). Flexible Reinforcement Learning Framework for Building Control using EnergyPlus-Modelica Energy Models. 34–38. 2 indexed citations
11.
Rahman, Aowabin, Prathamesh Deshpande, Matthew S. Radue, et al.. (2020). A machine learning framework for predicting the shear strength of carbon nanotube-polymer interfaces based on molecular dynamics simulation data. Composites Science and Technology. 207. 108627–108627. 86 indexed citations
12.
Erickson, John, Aowabin Rahman, & Ashley D. Spear. (2020). A void descriptor function to uniquely characterize pore networks and predict ductile-metal failure properties. International Journal of Fracture. 225(1). 47–67. 13 indexed citations
14.
Rahman, Aowabin, et al.. (2019). Predicting Microstructure-Sensitive Fatigue-Crack Path in 3D Using a Machine Learning Framework. JOM. 71(8). 2680–2694. 53 indexed citations
15.
Rahman, Aowabin & Amanda D. Smith. (2018). Predicting heating demand and sizing a stratified thermal storage tank using deep learning algorithms. Applied Energy. 228. 108–121. 76 indexed citations
16.
Rahman, Aowabin, Vivek Srikumar, & Amanda D. Smith. (2017). Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks. Applied Energy. 212. 372–385. 576 indexed citations breakdown →
17.
Rahman, Aowabin, Amanda D. Smith, & Nelson Fumo. (2016). Performance modeling and parametric study of a stratified water thermal storage tank. Applied Thermal Engineering. 100. 668–679. 54 indexed citations
18.
Rahman, Aowabin, Nelson Fumo, & Amanda D. Smith. (2015). Simplified Modeling of Thermal Storage Tank for Distributed Energy Heat Recovery Applications. 11 indexed citations
19.
Chen, Kuan, Aowabin Rahman, Yeongmin Kim, Seung Jin Oh, & Wongee Chun. (2015). Production of acoustic waves from pulsed thermal radiation. International Journal of Energy Research. 40(4). 462–472.
20.
Rahman, Aowabin. (2014). Generation of thermo-acoustic waves from pulsed solar/IR radiation. PhDT. 2 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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