Fernando Trejo

1.8k total citations
44 papers, 1.4k citations indexed

About

Fernando Trejo is a scholar working on Mechanical Engineering, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Fernando Trejo has authored 44 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 24 papers in Analytical Chemistry and 18 papers in Biomedical Engineering. Recurrent topics in Fernando Trejo's work include Petroleum Processing and Analysis (24 papers), Catalysis and Hydrodesulfurization Studies (23 papers) and Enhanced Oil Recovery Techniques (13 papers). Fernando Trejo is often cited by papers focused on Petroleum Processing and Analysis (24 papers), Catalysis and Hydrodesulfurization Studies (23 papers) and Enhanced Oil Recovery Techniques (13 papers). Fernando Trejo collaborates with scholars based in Mexico, Kuwait and Russia. Fernando Trejo's co-authors include Jorge Ancheyta, Mohan S. Rana, Gustavo Marroquín, Guillermo Centeno, Guillermo Félix, Carolina Leyva, Rafael Kandiyoti, Alan A. Herod, Trevor Morgan and José Díaz and has published in prestigious journals such as International Journal of Hydrogen Energy, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

Fernando Trejo

41 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Trejo Mexico 19 972 609 551 513 417 44 1.4k
Guillermo Centeno Mexico 17 839 0.9× 459 0.8× 430 0.8× 443 0.9× 347 0.8× 30 1.1k
Que Guo-he China 21 740 0.8× 352 0.6× 388 0.7× 516 1.0× 312 0.7× 66 1.2k
A. Hauser Kuwait 19 637 0.7× 362 0.6× 295 0.5× 370 0.7× 246 0.6× 38 1.0k
Ali Karimi Iran 17 367 0.4× 439 0.7× 613 1.1× 406 0.8× 288 0.7× 29 1.2k
Zongxian Wang China 20 487 0.5× 291 0.5× 205 0.4× 452 0.9× 335 0.8× 79 1.1k
Pei‐Qing Yuan China 22 706 0.7× 345 0.6× 204 0.4× 290 0.6× 916 2.2× 80 1.4k
Negahdar Hosseinpour Iran 19 599 0.6× 508 0.8× 606 1.1× 238 0.5× 144 0.3× 32 1.1k
Yibo Li China 22 722 0.7× 751 1.2× 856 1.6× 332 0.6× 239 0.6× 59 1.3k
Faisal S. AlHumaidan Kuwait 17 492 0.5× 318 0.5× 273 0.5× 275 0.5× 181 0.4× 26 1.1k
Irwin A. Wiehe United States 18 1.4k 1.4× 1.0k 1.7× 855 1.6× 191 0.4× 378 0.9× 32 1.6k

Countries citing papers authored by Fernando Trejo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Trejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Trejo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Trejo. A scholar is included among the top collaborators of Fernando Trejo 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 Fernando Trejo. Fernando Trejo 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.
Ancheyta, Jorge, et al.. (2025). Comparison of reactor models for simulation of autothermal reforming of methane. International Journal of Hydrogen Energy. 132. 253–269.
2.
Trejo, Fernando, et al.. (2025). A comprehensive analysis of kinetic models for methane autothermal reforming reactions. Fuel. 386. 134136–134136. 4 indexed citations
3.
Trejo, Fernando. (2025). Review of Biomass Gasification Technologies with a Particular Focus on a Downdraft Gasifier. Processes. 13(9). 2717–2717. 1 indexed citations
4.
Trejo, Fernando, et al.. (2025). Revisiting the Kinetic Modeling of Methane Autothermal Reforming Reactions. Industrial & Engineering Chemistry Research. 64(4). 2061–2068. 1 indexed citations
5.
Muñoz, José A. D., et al.. (2025). Computational Fluid Dynamics for Modeling of Hydrotreating Fixed-Bed Reactors: A Review. Processes. 13(3). 894–894.
6.
Trejo, Fernando, et al.. (2023). Kinetic Models of Deep Hydrotreating Reactions to Produce Ultralow Sulfur Diesel. Energy & Fuels. 37(15). 11216–11247. 12 indexed citations
7.
Trejo, Fernando, et al.. (2021). Kinetic study of heating pinewood sawdust with different methods using thermogravimetric analysis. Reaction Kinetics Mechanisms and Catalysis. 132(2). 1057–1074. 1 indexed citations
8.
Tirado, Alexis, Fernando Trejo, & Jorge Ancheyta. (2021). Prediction of Temperature Profiles for Catalytic Hydrotreating of Vegetable Oil with a Robust Dynamic Reactor Model. Industrial & Engineering Chemistry Research. 60(38). 13812–13821. 4 indexed citations
9.
Tirado, Alexis, Fernando Trejo, & Jorge Ancheyta. (2020). Simulation of bench-scale hydrotreating of vegetable oil reactor under non-isothermal conditions. Fuel. 275. 117960–117960. 7 indexed citations
10.
Ancheyta, Jorge, et al.. (2019). Importance of proper hydrodynamics modelling in fixed‐bed reactors: Fischer‐Tropsch synthesis study case. The Canadian Journal of Chemical Engineering. 97(10). 2685–2698. 4 indexed citations
11.
Tirado, Alexis, Jorge Ancheyta, & Fernando Trejo. (2018). Kinetic and Reactor Modeling of Catalytic Hydrotreatment of Vegetable Oils. Energy & Fuels. 32(7). 7245–7261. 21 indexed citations
12.
Félix, Guillermo, Jorge Ancheyta, & Fernando Trejo. (2018). Sensitivity analysis of kinetic parameters for heavy oil hydrocracking. Fuel. 241. 836–844. 43 indexed citations
13.
Félix, Guillermo, et al.. (2018). Modeling of hydrotreating catalyst deactivation for heavy oil hydrocarbons. Fuel. 225. 118–133. 77 indexed citations
14.
Ancheyta, Jorge, et al.. (2017). Modeling of Catalytic Fixed-Bed Reactors for Fuels Production by Fischer–Tropsch Synthesis. Energy & Fuels. 31(12). 13011–13042. 21 indexed citations
15.
Félix, Guillermo, et al.. (2017). Methods To Calculate Hydrogen Consumption during Hydrocracking Experiments in Batch Reactors. Energy & Fuels. 31(11). 11690–11697. 16 indexed citations
16.
Ancheyta, Jorge, et al.. (2016). Experimental Setups for Studying the Compatibility of Crude Oil Blends under Dynamic Conditions. Energy & Fuels. 30(10). 8216–8225. 13 indexed citations
17.
Trejo, Fernando, et al.. (2014). Cracking of Maya Crude Asphaltenes. Petroleum Science and Technology. 32(21). 2592–2598. 3 indexed citations
18.
Trejo, Fernando, Mohan S. Rana, Jorge Ancheyta, & Ana Julia Velez Rueda. (2012). Hydrotreating catalysts on different supports and its acid–base properties. Fuel. 100. 163–172. 26 indexed citations
19.
Trejo, Fernando, Jorge Ancheyta, & Mohan S. Rana. (2009). Structural Characterization of Asphaltenes Obtained from Hydroprocessed Crude Oils by SEM and TEM. Energy & Fuels. 23(1). 429–439. 100 indexed citations
20.
Ancheyta, Jorge, et al.. (2002). Extraction and Characterization of Asphaltenes from Different Crude Oils and Solvents. Energy & Fuels. 16(5). 1121–1127. 139 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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