Pablo Torres–Mancera

566 total citations
28 papers, 426 citations indexed

About

Pablo Torres–Mancera is a scholar working on Mechanical Engineering, Analytical Chemistry and Materials Chemistry. According to data from OpenAlex, Pablo Torres–Mancera has authored 28 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Mechanical Engineering, 13 papers in Analytical Chemistry and 10 papers in Materials Chemistry. Recurrent topics in Pablo Torres–Mancera's work include Catalysis and Hydrodesulfurization Studies (24 papers), Petroleum Processing and Analysis (13 papers) and Catalytic Processes in Materials Science (10 papers). Pablo Torres–Mancera is often cited by papers focused on Catalysis and Hydrodesulfurization Studies (24 papers), Petroleum Processing and Analysis (13 papers) and Catalytic Processes in Materials Science (10 papers). Pablo Torres–Mancera collaborates with scholars based in Mexico, Venezuela and Sweden. Pablo Torres–Mancera's co-authors include Jorge Ancheyta, Jorge Ramı́rez, P. Rayo, Aída Gutiérrez‐Alejandre, Joel Ramı́rez-Salgado, Gustavo Marroquín, Fernando Alonso, Rogelio Cuevas, S.K. Maity and Florentino Murrieta and has published in prestigious journals such as Fuel, Industrial & Engineering Chemistry Research and Catalysis Today.

In The Last Decade

Pablo Torres–Mancera

26 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pablo Torres–Mancera Mexico 12 312 185 142 132 116 28 426
Fernando Alonso Mexico 14 452 1.4× 186 1.0× 246 1.7× 270 2.0× 108 0.9× 33 574
Х. М. Кадиев Russia 12 299 1.0× 90 0.5× 165 1.2× 273 2.1× 45 0.4× 82 500
A. Marafi Kuwait 16 493 1.6× 178 1.0× 242 1.7× 318 2.4× 61 0.5× 29 638
Madhusudan Sau India 11 212 0.7× 96 0.5× 161 1.1× 120 0.9× 46 0.4× 18 403
Xiujuan Tao China 12 358 1.1× 249 1.3× 85 0.6× 76 0.6× 142 1.2× 20 463
М. Х. Кадиева Russia 9 197 0.6× 63 0.3× 90 0.6× 177 1.3× 33 0.3× 42 316
Р. Г. Кукушкин Russia 12 319 1.0× 221 1.2× 302 2.1× 98 0.7× 37 0.3× 37 571
P. Rayo Mexico 17 663 2.1× 333 1.8× 288 2.0× 350 2.7× 159 1.4× 25 777
Menglong Niu China 12 253 0.8× 52 0.3× 210 1.5× 100 0.8× 30 0.3× 22 329
Junwen Gao China 11 141 0.5× 128 0.7× 195 1.4× 81 0.6× 21 0.2× 13 388

Countries citing papers authored by Pablo Torres–Mancera

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Torres–Mancera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Torres–Mancera. 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 Pablo Torres–Mancera. The network helps show where Pablo Torres–Mancera may publish in the future.

Co-authorship network of co-authors of Pablo Torres–Mancera

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Torres–Mancera. A scholar is included among the top collaborators of Pablo Torres–Mancera 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 Pablo Torres–Mancera. Pablo Torres–Mancera 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.
Torres–Mancera, Pablo, et al.. (2025). Finding operating conditions in batch reactor to mimic bench-scale continuous hydrodesulfurization reactor. Fuel. 412. 138106–138106.
2.
Torres–Mancera, Pablo, et al.. (2024). Kinetics for the highly selective hybrid and cleaner diesel production by hydro-co-processing of a Jatropha curcas L. oil and gas oil blend using a supported Ni-W/Al-SBA-15 sulfided catalyst. Energy Sources Part A Recovery Utilization and Environmental Effects. 46(1). 9097–9111.
3.
Torres–Mancera, Pablo, et al.. (2024). Optimization Methodology of Dual-Bed Catalyst Stacking Systems to Produce Ultralow-Sulfur Diesel. Industrial & Engineering Chemistry Research. 63(42). 17857–17867. 1 indexed citations
4.
Ancheyta, Jorge, et al.. (2024). Characterization of spent catalysts from hydrotreating of different feedstocks in batch reactor. Fuel. 371. 131938–131938. 6 indexed citations
5.
Alonso, Fernando, José A. Castillo, Jorge Ancheyta, & Pablo Torres–Mancera. (2024). Evaluation of the Effect of Addition Order on the Compatibility of Binary Crude Oil Blending. Energy & Fuels. 38(24). 23358–23366. 4 indexed citations
6.
Atzori, Marco, et al.. (2023). High-resolution simulations of a turbulent boundary layer impacting two obstacles in tandem. Physical Review Fluids. 8(6). 6 indexed citations
7.
Alonso, Fernando, et al.. (2023). Detailed Characterization of Refractory Refinery Streams for Use as Feedstocks for Diesel Production in Low-Pressure Hydrotreating Units. Industrial & Engineering Chemistry Research. 62(46). 19493–19509. 4 indexed citations
8.
Ancheyta, Jorge, et al.. (2023). Maximizing Data Analysis from Batch Reactor Experiments: Application to Catalytic Hydrotreating of Petroleum Distillates. Industrial & Engineering Chemistry Research. 62(43). 17631–17645. 2 indexed citations
9.
10.
Torres–Mancera, Pablo, et al.. (2022). Catalyst Stacking Technology as a Viable Solution to Ultralow Sulfur Diesel Production. Energy & Fuels. 36(6). 3201–3218. 11 indexed citations
11.
Torres–Mancera, Pablo, et al.. (2020). Evaluation of Asphaltene Stability of a Wide Range of Mexican Crude Oils. Energy & Fuels. 35(1). 408–418. 21 indexed citations
12.
Torres–Mancera, Pablo, et al.. (2020). Batch Reactor Study for Partial Upgrading of a Heavy Oil with a Novel Solid Hydrogen Transfer Agent. Energy & Fuels. 34(12). 15714–15726. 4 indexed citations
13.
Rayo, P., Pablo Torres–Mancera, Guillermo Centeno, et al.. (2018). Effect of silicon incorporation method in the supports of NiMo catalysts for hydrotreating reactions. Fuel. 239. 1293–1303. 13 indexed citations
14.
Torres–Mancera, Pablo, et al.. (2018). Deactivation of a hydrotreating catalyst in a bench-scale continuous stirred tank reactor at different operating conditions. Fuel. 234. 326–334. 23 indexed citations
15.
Torres–Mancera, Pablo, et al.. (2017). Organic polymers as solid hydrogen donors in the hydrogenation of cyclohexene. Catalysis Today. 305. 143–151. 6 indexed citations
16.
Rayo, P., et al.. (2017). Different alumina precursors in the preparation of supports for HDT and HDC of Maya crude oil. Catalysis Today. 305. 2–12. 9 indexed citations
17.
Torres–Mancera, Pablo, et al.. (2016). Use of Hydrogen Donors for Partial Upgrading of Heavy Petroleum. Energy & Fuels. 30(11). 9050–9060. 70 indexed citations
18.
Torres–Mancera, Pablo, P. Rayo, Jorge Ancheyta, et al.. (2014). Characterization of spent and regenerated catalysts recovered from a residue hydrotreating bench-scale reactor. Fuel. 149. 143–148. 20 indexed citations
19.
Rayo, P., Jorge Ramı́rez, Pablo Torres–Mancera, et al.. (2011). Hydrodesulfurization and hydrocracking of Maya crude with P-modified NiMo/Al2O3 catalysts. Fuel. 100. 34–42. 67 indexed citations
20.
Gutiérrez‐Alejandre, Aída, et al.. (2005). Activity of NiW catalysts supported on TiO2-Al2O3 mixed oxides. Catalysis Today. 107-108. 879–884. 20 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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