Aida Domínguez-Sáez

457 total citations
10 papers, 398 citations indexed

About

Aida Domínguez-Sáez is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis and Fluid Flow and Transfer Processes. According to data from OpenAlex, Aida Domínguez-Sáez has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Fluid Flow and Transfer Processes. Recurrent topics in Aida Domínguez-Sáez's work include Vehicle emissions and performance (9 papers), Air Quality and Health Impacts (5 papers) and Advanced Combustion Engine Technologies (5 papers). Aida Domínguez-Sáez is often cited by papers focused on Vehicle emissions and performance (9 papers), Air Quality and Health Impacts (5 papers) and Advanced Combustion Engine Technologies (5 papers). Aida Domínguez-Sáez collaborates with scholars based in Spain, India and Poland. Aida Domínguez-Sáez's co-authors include Carmen C. Barrios, Manuel Pujadas, Carlos A. Martín, G.A. Rattá, Paloma Álvarez Mateos, Juan Francisco García Martín, Carlos A. Martín, Jesús Casanova Kindelán, Mar Viana and Fúlvio Amato and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Atmospheric Environment.

In The Last Decade

Aida Domínguez-Sáez

10 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aida Domínguez-Sáez Spain 9 251 215 170 87 62 10 398
Carmen C. Barrios Spain 9 274 1.1× 217 1.0× 141 0.8× 99 1.1× 36 0.6× 11 398
Theodoros Vlachos Italy 12 180 0.7× 196 0.9× 259 1.5× 41 0.5× 146 2.4× 18 442
Hubert Kuszewski Poland 15 291 1.2× 316 1.5× 280 1.6× 76 0.9× 93 1.5× 62 601
Burl Donaldson United States 13 259 1.0× 185 0.9× 65 0.4× 99 1.1× 48 0.8× 20 449
Han Xiu-kun China 6 232 0.9× 323 1.5× 235 1.4× 40 0.5× 120 1.9× 11 471
Peiyong Ni China 7 185 0.7× 232 1.1× 150 0.9× 85 1.0× 19 0.3× 16 474
Reji Mathai India 9 199 0.8× 243 1.1× 166 1.0× 26 0.3× 26 0.4× 20 363
John Nuszkowski United States 11 270 1.1× 303 1.4× 199 1.2× 56 0.6× 10 0.2× 28 416
Zbigniew Stępień Poland 12 239 1.0× 374 1.7× 287 1.7× 105 1.2× 31 0.5× 76 586
Meisam Ahmadi Ghadikolaei Hong Kong 14 415 1.7× 497 2.3× 284 1.7× 69 0.8× 70 1.1× 30 711

Countries citing papers authored by Aida Domínguez-Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Aida Domínguez-Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aida Domínguez-Sáez. 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 Aida Domínguez-Sáez. The network helps show where Aida Domínguez-Sáez may publish in the future.

Co-authorship network of co-authors of Aida Domínguez-Sáez

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

All Works

10 of 10 papers shown
1.
Domínguez-Sáez, Aida, F.R. Urgorri, Iván Fernández, & Manuel Pujadas. (2024). Large eddy simulation of the dispersion of short duration emissions: Implications for the metrological evaluation of remote sensing devices for on-road emissions monitoring. The Science of The Total Environment. 955. 176994–176994. 1 indexed citations
2.
Martín, Juan Francisco García, et al.. (2018). Biodiesel production from waste cooking oil in an oscillatory flow reactor. Performance as a fuel on a TDI diesel engine. Renewable Energy. 125. 546–556. 75 indexed citations
3.
Domínguez-Sáez, Aida, G.A. Rattá, & Carmen C. Barrios. (2018). Prediction of exhaust emission in transient conditions of a diesel engine fueled with animal fat using Artificial Neural Network and Symbolic Regression. Energy. 149. 675–683. 55 indexed citations
4.
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Pujadas, Manuel, et al.. (2016). Real-driving emissions of circulating Spanish car fleet in 2015 using RSD Technology. The Science of The Total Environment. 576. 193–209. 32 indexed citations
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8.
Domínguez-Sáez, Aida, Mar Viana, Carmen C. Barrios, et al.. (2012). Size-Resolved Particle Number Emission Patterns under Real-World Driving Conditions Using Positive Matrix Factorization. Environmental Science & Technology. 46(20). 11187–11194. 14 indexed citations
9.
Barrios, Carmen C., et al.. (2012). Factors influencing the number distribution and size of the particles emitted from a modern diesel vehicle in real urban traffic. Atmospheric Environment. 56. 16–25. 20 indexed citations
10.
Barrios, Carmen C., et al.. (2011). Development and Evaluation of On-Board Measurement System for Nanoparticle Emissions from Diesel Engine. Aerosol Science and Technology. 45(5). 570–580. 16 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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Rankless by CCL
2026