Agustín Valera-Medina

11.2k total citations · 7 hit papers
209 papers, 8.6k citations indexed

About

Agustín Valera-Medina is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes and Materials Chemistry. According to data from OpenAlex, Agustín Valera-Medina has authored 209 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 146 papers in Computational Mechanics, 132 papers in Fluid Flow and Transfer Processes and 61 papers in Materials Chemistry. Recurrent topics in Agustín Valera-Medina's work include Combustion and flame dynamics (136 papers), Advanced Combustion Engine Technologies (132 papers) and Catalytic Processes in Materials Science (58 papers). Agustín Valera-Medina is often cited by papers focused on Combustion and flame dynamics (136 papers), Advanced Combustion Engine Technologies (132 papers) and Catalytic Processes in Materials Science (58 papers). Agustín Valera-Medina collaborates with scholars based in United Kingdom, China and Malaysia. Agustín Valera-Medina's co-authors include Hua Xiao, Phil Bowen, William I. F. David, D. Pugh, Syed Mashruk, Philip John Bowen, Richard Marsh, Jon Runyon, Cheng Tung Chong and Anthony Giles and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Agustín Valera-Medina

184 papers receiving 8.3k citations

Hit Papers

Ammonia for power 2016 2026 2019 2022 2018 2021 2016 2021 2017 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agustín Valera-Medina United Kingdom 40 5.2k 4.4k 3.8k 1.6k 1.4k 209 8.6k
Akihiro Hayakawa Japan 35 6.6k 1.3× 5.7k 1.3× 3.6k 0.9× 737 0.5× 1.9k 1.4× 113 8.5k
Francesco Contino Belgium 35 3.0k 0.6× 2.3k 0.5× 1.6k 0.4× 481 0.3× 928 0.7× 167 5.3k
Shijin Shuai China 50 5.5k 1.1× 2.8k 0.6× 2.2k 0.6× 392 0.2× 753 0.5× 286 8.0k
E. Ranzi Italy 68 8.2k 1.6× 7.8k 1.8× 3.2k 0.8× 1.3k 0.8× 2.0k 1.5× 238 14.4k
Hua Xiao China 22 2.3k 0.4× 1.7k 0.4× 2.1k 0.6× 973 0.6× 625 0.5× 47 4.4k
Tiziano Faravelli Italy 68 9.6k 1.8× 8.8k 2.0× 3.6k 1.0× 1.0k 0.7× 2.4k 1.8× 313 15.7k
Alessio Frassoldati Italy 55 6.4k 1.2× 6.1k 1.4× 2.0k 0.5× 569 0.4× 1.5k 1.1× 207 10.5k
Phil Bowen United Kingdom 20 2.3k 0.4× 2.2k 0.5× 1.5k 0.4× 723 0.5× 870 0.6× 69 4.0k
Alberto Cuoci Italy 46 5.0k 1.0× 5.1k 1.2× 1.5k 0.4× 545 0.3× 1.2k 0.9× 173 8.2k
Mingfa Yao China 57 10.5k 2.0× 6.0k 1.4× 3.5k 0.9× 543 0.3× 1.5k 1.1× 367 12.8k

Countries citing papers authored by Agustín Valera-Medina

Since Specialization
Citations

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

Fields of papers citing papers by Agustín Valera-Medina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Agustín Valera-Medina. 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 Agustín Valera-Medina. The network helps show where Agustín Valera-Medina may publish in the future.

Co-authorship network of co-authors of Agustín Valera-Medina

This figure shows the co-authorship network connecting the top 25 collaborators of Agustín Valera-Medina. A scholar is included among the top collaborators of Agustín Valera-Medina 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 Agustín Valera-Medina. Agustín Valera-Medina 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.
Lamioni, Rachele, et al.. (2026). Combustion Characteristics and Emissions of 99% Cracked Ammonia Blends in a Gas Turbine Representative Swirl. Energy & Fuels. 40(7). 3806–3816.
2.
3.
Bhaduri, Debajyoti, et al.. (2025). A proposed method for enhancing the thermal characteristics of bio-inspired microtextured surfaces for energy sector applications. The International Journal of Advanced Manufacturing Technology.
4.
Alnajideen, Mohammad, et al.. (2025). Economic Feasibility of Using Municipal Solid Waste and Date Palm Waste for Clean Energy Production in Qatar. Energies. 18(4). 988–988. 1 indexed citations
5.
Shahsavari, Mohammad, Nilanjan Chakraborty, Alexander A. Konnov, et al.. (2025). A comparative analysis of plasma and hydrogen effects on premixed ammonia combustion. Combustion and Flame. 279. 114300–114300.
6.
7.
Zhang, Junqing, Jun Li, Xing Li, et al.. (2025). Experimental and numerical study on the laminar burning velocities of n-dodecane/ammonia/air mixtures. Energy. 326. 136303–136303.
8.
Shi, Hao, Syed Mashruk, Mohammad Alnajideen, et al.. (2025). Modeling and optimization of ammonia/hydrogen/air premixed swirling flames for NOx emission control: A hybrid machine learning strategy. Energy. 330. 136735–136735. 2 indexed citations
9.
Meloni, Roberto, et al.. (2024). Numerical investigation of the NOX emissions of a perfectly premixed NH3-H2 flame at moderate pressure levels. Fuel. 385. 134128–134128. 5 indexed citations
10.
Göktepe, Burak, et al.. (2024). Large Eddy Simulations for the Prediction of Fuel-Bound NOx Emissions: Application to NH3 and NH3-CH4 Blends at Different Operating Conditions. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
11.
Zhu, Xuren, J. Davies, Domenico Borello, et al.. (2024). Assessing the potential of a chemiluminescence and machine learning-based method for the sensing of premixed ammonia–hydrogen–air turbulent flames. International Journal of Hydrogen Energy. 100. 945–954. 5 indexed citations
12.
Davies, J., et al.. (2024). Experimental and Numerical Investigation of NH3/H2/N2 Combustion in a Premixed/Stratified Swirl Burner. ORCA Online Research @Cardiff (Cardiff University). 1 indexed citations
13.
Wang, Siqi, et al.. (2024). Revealing the NO Formation Kinetics for NH3/CH4 Blends Under Dual-Flame and Premixed Swirl Flame Configurations. Energies. 17(23). 6090–6090. 1 indexed citations
14.
Yu, Chunkan, Sven Eckart, D. Markus, et al.. (2023). Investigation of spark ignition processes of laminar strained premixed stoichiometric NH3-H2-air flames. Journal of Loss Prevention in the Process Industries. 83. 105043–105043. 12 indexed citations
15.
Shahsavari, Mohammad, Alexander A. Konnov, Xue‐Song Bai, et al.. (2023). Synergistic effects of nanosecond plasma discharge and hydrogen on ammonia combustion. Fuel. 348. 128475–128475. 27 indexed citations
16.
17.
Göktepe, Burak, Rachele Lamioni, Chiara Galletti, et al.. (2023). Modelling Ammonia-Hydrogen-Air Combustion and Emission Characteristics of a Generic Swirl Burner. ORCA Online Research @Cardiff (Cardiff University).
18.
Andreini, Antonio, et al.. (2023). Numerical Modelling of Swirl Stabilised Lean-Premixed H2-CH4 Flames With the Artificially Thickened Flame Model. ORCA Online Research @Cardiff (Cardiff University). 2 indexed citations
19.
Vigueras-Zúñiga, Marco Osvaldo, et al.. (2020). Numerical Predictions of a Swirl Combustor Using Complex Chemistry Fueled with Ammonia/Hydrogen Blends. Energies. 13(2). 288–288. 40 indexed citations
20.
Valera-Medina, Agustín, et al.. (2018). Ammonia for power. Progress in Energy and Combustion Science. 69. 63–102. 1859 indexed citations breakdown →

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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