Fernando Aguilar

177 total papers · 2.4k total citations
87 papers, 906 citations indexed

About

Fernando Aguilar is a scholar working on Biomedical Engineering, Fluid Flow and Transfer Processes and Organic Chemistry. According to data from OpenAlex, Fernando Aguilar has authored 87 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biomedical Engineering, 62 papers in Fluid Flow and Transfer Processes and 56 papers in Organic Chemistry. Recurrent topics in Fernando Aguilar's work include Thermodynamic properties of mixtures (62 papers), Phase Equilibria and Thermodynamics (62 papers) and Chemical Thermodynamics and Molecular Structure (56 papers). Fernando Aguilar is often cited by papers focused on Thermodynamic properties of mixtures (62 papers), Phase Equilibria and Thermodynamics (62 papers) and Chemical Thermodynamics and Molecular Structure (56 papers). Fernando Aguilar collaborates with scholars based in Spain, Morocco and France. Fernando Aguilar's co-authors include Eduardo Montero, Fatima E.M. Alaoui, Natalia Muñoz-Rujas, Jean-Patrick Bazile, Younes Chhiti, Christian Boned, José J. Segovia, Miguel A. Villamañán, Latifa Négadi and Abdelaziz Sahibed-Dine and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Biochemistry and Fuel.

In The Last Decade

Fernando Aguilar

81 papers receiving 886 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fernando Aguilar	632	584	489	95	77	87	906
Vincenzo Brandani	608 1.0×	371 0.6×	355 0.7×	57 0.6×	86 1.1×	68	912
Filipe Xavier Feitosa	413 0.7×	291 0.5×	148 0.3×	53 0.6×	100 1.3×	63	766
Christos Boukouvalas	502 0.8×	279 0.5×	277 0.6×	23 0.2×	97 1.3×	42	894
Jae-Duck Kim	645 1.0×	119 0.2×	160 0.3×	103 1.1×	206 2.7×	55	1.0k
Ф. М. Гумеров	746 1.2×	170 0.3×	257 0.5×	61 0.6×	196 2.5×	136	989
Luca Bernazzani	278 0.4×	140 0.2×	280 0.6×	84 0.9×	73 0.9×	69	992
Gabriele Di Giacomo	458 0.7×	91 0.2×	168 0.3×	119 1.3×	117 1.5×	71	912
Catinca Secuianu	623 1.0×	410 0.7×	415 0.8×	15 0.2×	168 2.2×	43	747
J. M. Navaza	514 0.8×	210 0.4×	174 0.4×	32 0.3×	306 4.0×	61	903
Aynur Şenol	353 0.6×	358 0.6×	115 0.2×	33 0.3×	261 3.4×	55	842

Countries citing papers authored by Fernando Aguilar

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Aguilar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Aguilar

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

All Works

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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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