David A. Romero

1.8k total citations
71 papers, 1.3k citations indexed

About

David A. Romero is a scholar working on Aerospace Engineering, Computational Theory and Mathematics and Environmental Engineering. According to data from OpenAlex, David A. Romero has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Aerospace Engineering, 21 papers in Computational Theory and Mathematics and 19 papers in Environmental Engineering. Recurrent topics in David A. Romero's work include Wind Energy Research and Development (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Wind and Air Flow Studies (18 papers). David A. Romero is often cited by papers focused on Wind Energy Research and Development (25 papers), Advanced Multi-Objective Optimization Algorithms (21 papers) and Wind and Air Flow Studies (18 papers). David A. Romero collaborates with scholars based in Canada, United States and Venezuela. David A. Romero's co-authors include Cristina H. Amon, Enrico G. A. Antonini, J. Christopher Beck, David Guirguis, Susan Finger, Carlos Da Silva, Christiaan J. J. Paredis, Roxanne Moore, Olivier Trescases and Fernán Saiz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Applied Physics.

In The Last Decade

David A. Romero

66 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Romero Canada 22 733 377 354 243 165 71 1.3k
Feng Ju China 18 649 0.9× 285 0.8× 302 0.9× 105 0.4× 118 0.7× 69 1.1k
Joseph Morlier France 22 249 0.3× 69 0.2× 52 0.1× 462 1.9× 127 0.8× 110 1.7k
Jian Tu China 25 364 0.5× 67 0.2× 192 0.5× 1.1k 4.3× 99 0.6× 97 3.0k
Marcos de Sales Guerra Tsuzuki Brazil 20 63 0.1× 333 0.9× 35 0.1× 158 0.7× 86 0.5× 166 1.4k
Yulin Zhang China 30 319 0.4× 563 1.5× 25 0.1× 150 0.6× 46 0.3× 127 2.5k
Giansalvo Cirrincione France 24 147 0.2× 995 2.6× 99 0.3× 16 0.1× 265 1.6× 122 2.2k
Yingjun Wang China 26 160 0.2× 40 0.1× 78 0.2× 254 1.0× 43 0.3× 112 2.2k
Cong Feng China 25 147 0.2× 1.3k 3.3× 120 0.3× 34 0.1× 784 4.8× 96 2.1k
Jiale Li China 26 269 0.4× 417 1.1× 150 0.4× 9 0.0× 93 0.6× 95 2.1k
Dennice F. Gayme United States 28 795 1.1× 1.8k 4.9× 602 1.7× 40 0.2× 73 0.4× 105 3.0k

Countries citing papers authored by David A. Romero

Since Specialization
Citations

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

Fields of papers citing papers by David A. Romero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Romero. 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 David A. Romero. The network helps show where David A. Romero may publish in the future.

Co-authorship network of co-authors of David A. Romero

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Romero. A scholar is included among the top collaborators of David A. Romero 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 David A. Romero. David A. Romero 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.
Romero, David A., et al.. (2025). Physics-informed deep convolutional hierarchical encoder-decoder neural network for flow field prediction in wind farms. Energy and AI. 21. 100553–100553. 2 indexed citations
2.
Romero, David A., et al.. (2024). Deep encoder–decoder hierarchical convolutional neural networks for conjugate heat transfer surrogate modeling. Applied Energy. 372. 123723–123723. 7 indexed citations
3.
Romero, David A., et al.. (2024). Type B aortic dissection in Marfan patients after the David procedure: Insights from patient-specific simulation. JTCVS Open. 21. 1–16. 3 indexed citations
4.
Romero, David A., et al.. (2024). Predicting wind farm wake losses with deep convolutional hierarchical encoder–decoder neural networks. SHILAP Revista de lepidopterología. 2(1). 7 indexed citations
5.
Mostofinejad, Amirmahdi, David A. Romero, Aimy Bazylak, et al.. (2024). In silico model development and optimization of in vitro lung cell population growth. PLoS ONE. 19(5). e0300902–e0300902. 1 indexed citations
6.
Romero, David A., et al.. (2023). A Comparison of Vessel Patch Materials in Tetralogy of Fallot Patients Using Virtual Surgery Techniques. Annals of Biomedical Engineering. 51(7). 1420–1435. 3 indexed citations
7.
Romero, David A., et al.. (2023). Prediction of bird-beak configuration in thoracic endovascular aortic repair preoperatively using patient-specific finite element simulations. SHILAP Revista de lepidopterología. 4. 100108–100108. 1 indexed citations
8.
Taniguchi, Daisuke, Takaya Suzuki, David A. Romero, et al.. (2022). Cell Inertia: Predicting Cell Distributions in Lung Vasculature to Optimize Re-endothelialization. Frontiers in Bioengineering and Biotechnology. 10. 891407–891407. 2 indexed citations
9.
10.
Lee, Hankyu, Siba Haykal, Thomas K. Waddell, et al.. (2021). Computational fluid dynamics for enhanced tracheal bioreactor design and long-segment graft recellularization. Scientific Reports. 11(1). 1187–1187. 15 indexed citations
11.
Rehman, Danyal, et al.. (2018). A novel wake model for wind farm design on complex terrains. Journal of Wind Engineering and Industrial Aerodynamics. 174. 94–102. 21 indexed citations
12.
13.
Romero, David A., et al.. (2015). Wind Farm Layout Optimization in Complex Terrains Using Computational Fluid Dynamics. 2 indexed citations
14.
15.
Romero, David A., et al.. (2015). The impact of land use constraints in multi-objective energy-noise wind farm layout optimization. Renewable Energy. 85. 359–370. 68 indexed citations
16.
Romero, David A., et al.. (2013). Assessment of the Holland model for silicon phonon-phonon relaxation times using lattice dynamics calculations. Journal of Applied Physics. 113(17). 9 indexed citations
17.
Romero, David A., Cristina H. Amon, & Susan Finger. (2012). Multiresponse Metamodeling in Simulation-Based Design Applications. Journal of Mechanical Design. 134(9). 17 indexed citations
18.
19.
Romero, David A.. (2008). A multi-stage, multi-response Bayesian methodology for surrogate modeling in engineering design. PhDT. 1 indexed citations
20.
Weiss, L.E., Cristina H. Amon, Susan Finger, et al.. (2005). Bayesian computer-aided experimental design of heterogeneous scaffolds for tissue engineering. Computer-Aided Design. 37(11). 1127–1139. 48 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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