Francisco J. Martos

1.4k total citations
29 papers, 1.2k citations indexed

About

Francisco J. Martos is a scholar working on Automotive Engineering, Fluid Flow and Transfer Processes and Materials Chemistry. According to data from OpenAlex, Francisco J. Martos has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Automotive Engineering, 17 papers in Fluid Flow and Transfer Processes and 14 papers in Materials Chemistry. Recurrent topics in Francisco J. Martos's work include Vehicle emissions and performance (17 papers), Advanced Combustion Engine Technologies (17 papers) and Catalytic Processes in Materials Science (13 papers). Francisco J. Martos is often cited by papers focused on Vehicle emissions and performance (17 papers), Advanced Combustion Engine Technologies (17 papers) and Catalytic Processes in Materials Science (13 papers). Francisco J. Martos collaborates with scholars based in Spain, United Kingdom and Iraq. Francisco J. Martos's co-authors include Magı́n Lapuerta, J.M. Herreros, Rosario Ballesteros, A. Tsolakis, Mohammed A. Fayad, Octavio Armas, John R. Agudelo, M. Bogarra, David Fernández-Rodríguez and María D. Cárdenas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Applied Catalysis B: Environmental.

In The Last Decade

Francisco J. Martos

29 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francisco J. Martos Spain 16 755 553 471 457 212 29 1.2k
Chaochen Ma China 22 774 1.0× 365 0.7× 497 1.1× 591 1.3× 246 1.2× 41 1.2k
Patrick Kirchen Canada 20 500 0.7× 318 0.6× 300 0.6× 367 0.8× 311 1.5× 61 1.0k
Yiqiang Pei China 22 1.3k 1.7× 451 0.8× 447 0.9× 595 1.3× 746 3.5× 127 1.6k
Vitaly Y. Prikhodko United States 21 594 0.8× 262 0.5× 517 1.1× 424 0.9× 255 1.2× 62 1.2k
Yage Di China 12 947 1.3× 857 1.5× 338 0.7× 447 1.0× 194 0.9× 22 1.2k
Seungmok Choi United States 16 486 0.6× 208 0.4× 369 0.8× 468 1.0× 175 0.8× 32 813
Yongjin Jung South Korea 17 739 1.0× 441 0.8× 519 1.1× 292 0.6× 374 1.8× 43 1.2k
Meghdad Saffaripour Canada 15 499 0.7× 281 0.5× 232 0.5× 286 0.6× 428 2.0× 24 959
Young Choi South Korea 25 1.4k 1.9× 520 0.9× 649 1.4× 853 1.9× 563 2.7× 95 1.8k
Kun Lin Tay Singapore 19 820 1.1× 424 0.8× 345 0.7× 246 0.5× 439 2.1× 36 1.0k

Countries citing papers authored by Francisco J. Martos

Since Specialization
Citations

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

Fields of papers citing papers by Francisco J. Martos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisco J. Martos. 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 Francisco J. Martos. The network helps show where Francisco J. Martos may publish in the future.

Co-authorship network of co-authors of Francisco J. Martos

This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Martos. A scholar is included among the top collaborators of Francisco J. Martos 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 Francisco J. Martos. Francisco J. Martos 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.
Fayad, Mohammed A. & Francisco J. Martos. (2025). Effect of Nano Additives Application and Strategy of Injection on Particulate Characteristics in Engine Operated with Biodiesel Blends. SHILAP Revista de lepidopterología. 5(1). 14–24. 2 indexed citations
2.
Martos, Francisco J., et al.. (2023). A CFD Modelling Approach for the Operation Analysis of an Exhaust Backpressure Valve Used in a Euro 6 Diesel Engine. Energies. 16(10). 4112–4112. 5 indexed citations
3.
Doustdar, Omid, Soheil Zeraati-Rezaei, J.M. Herreros, et al.. (2023). The significance of low carbon bio-alcohols and bio-ketones fuels for clean propulsion systems. Fuel. 361. 130641–130641. 4 indexed citations
4.
Martos, Francisco J., et al.. (2023). A CFD Modelling Approach of Fuel Spray under Initial Non-Reactive Conditions in an Optical Engine. Energies. 16(18). 6537–6537. 1 indexed citations
5.
Fernández-Yáñez, Pablo, et al.. (2023). Heat Transfer in Thermoelectric Generators for Waste Energy Recovery in Piston Engines. Applied Sciences. 13(9). 5647–5647. 5 indexed citations
6.
Martos, Francisco J., Omid Doustdar, Soheil Zeraati-Rezaei, J.M. Herreros, & A. Tsolakis. (2022). Impact of alcohol–diesel fuel blends on soot primary particle size in a compression ignition engine. Fuel. 333. 126346–126346. 13 indexed citations
7.
Fayad, Mohammed A., et al.. (2022). Investigation the effect of fuel injection strategies on combustion and morphology characteristics of PM in modern diesel engine operated with oxygenate fuel blending. Thermal Science and Engineering Progress. 35. 101476–101476. 35 indexed citations
8.
Fayad, Mohammed A., Francisco J. Martos, Tawfik Badawy, et al.. (2022). Experimental effect of CuO2 nanoparticles into the RME and EGR rates on NOX and morphological characteristics of soot nanoparticles. Fuel. 331. 125549–125549. 30 indexed citations
9.
Martos, Francisco J., et al.. (2021). Impact of alternative and fossil diesel fuels on internal flow of injection nozzle. International Journal of Engine Research. 23(6). 940–957. 2 indexed citations
10.
Bogarra, M., et al.. (2019). Understanding the effects of catalytic partial flow filters on particle removal efficiency. Results in Engineering. 4. 100057–100057. 9 indexed citations
11.
12.
Martos, Francisco J., et al.. (2018). Semi-empirical model for indirect measurement of soot size distributions in compression ignition engines. Measurement. 124. 32–39. 12 indexed citations
13.
14.
Bogarra, M., J.M. Herreros, A. Tsolakis, et al.. (2016). Impact of exhaust gas fuel reforming and exhaust gas recirculation on particulate matter morphology in Gasoline Direct Injection Engine. Journal of Aerosol Science. 103. 1–14. 44 indexed citations
15.
Fayad, Mohammed A., J.M. Herreros, Francisco J. Martos, & A. Tsolakis. (2015). Role of Alternative Fuels on Particulate Matter (PM) Characteristics and Influence of the Diesel Oxidation Catalyst. Environmental Science & Technology. 49(19). 11967–11973. 55 indexed citations
16.
Lapuerta, Magı́n, et al.. (2014). Effect of sintering on the fractal prefactor of agglomerates. Powder Technology. 271. 141–154. 7 indexed citations
17.
Lapuerta, Magı́n, et al.. (2010). Geometrical determination of the lacunarity of agglomerates with integer fractal dimension. Journal of Colloid and Interface Science. 346(1). 23–31. 42 indexed citations
18.
Lapuerta, Magı́n, Rosario Ballesteros, & Francisco J. Martos. (2006). A method to determine the fractal dimension of diesel soot agglomerates. Journal of Colloid and Interface Science. 303(1). 149–158. 105 indexed citations
19.
Lapuerta, Magı́n, Francisco J. Martos, & María D. Cárdenas. (2005). Determination of light extinction efficiency of diesel soot from smoke opacity measurements. Measurement Science and Technology. 16(10). 2048–2055. 41 indexed citations
20.
Armas, Octavio, Rosario Ballesteros, Francisco J. Martos, & John R. Agudelo. (2004). Characterization of light duty Diesel engine pollutant emissions using water-emulsified fuel. Fuel. 84(7-8). 1011–1018. 210 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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