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Applied Energy
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Production of biodiesel under supercritical conditions: State of the art and bibliometric analysis

Authors: Francisco J. Hernández-Fernández; Pedro Andreo-Martínez; Antonia Pérez de los Ríos; Joaquín Quesada-Medina; Nuria García-Martínez; Víctor Manuel Ortiz-Martínez;

Production of biodiesel under supercritical conditions: State of the art and bibliometric analysis

Abstract

©2020 Elsevier Ltd. All rights reserved. This document is the Published version of a Published Work that appeared in final form in Applied Energy. To access the final edited and published work see https://doi.org/10.1016/j.apenergy.2020.114753 The demand for biodiesel as an alternative and potentially renewable fuel is constantly rising. Biodiesel production from lipids in supercritical conditions offers several advantages over other catalytic processes. These advantages include high-efficiency production, environmental friendliness and the possibility of using a broad range of feedstock sources. As a consequence, there is a great interest in biodiesel production research using supercritical fluids as a sustainable technology option. In this sense, bibliometric reviews can be very useful for the interpretation of scientific production and research trends in this field. Thus, this work presents a scientometric study on biodiesel production research under supercritical conditions from 2001 to 2019, based on the Web of Science© database. 608 articles were analyzed and the parameters considered were: (i) publication type, language and output characteristics, (ii) Lotka's Law, Price's index and h-index, (iii) authors, countries and institutions collaboration analysis, (iv) publication performance by authors, journals, institutions and countries and (v) author keywords, single title words and keywords Plus analysis. The productivity patterns of authors, journals, institutions and authors keywords were found to fit Lotka's law. In terms of feedstock used in supercritical conditions, the bibliometric analysis showed a clear transition from first- to third-generation biodiesel, with special attention paid to the experimental study of supercritical reaction conditions. By contrast, further process optimization, the reduction of the severity of the supercritical conditions through devised strategies to lower energy consumption and further economic analysis are still needed, among other factors, for the real implementation of the technology.

Keywords

Supercritical alcoholysis, Bibliometric analysis, Research trends, Web of Science, Scientometric, Biodiesel

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    103
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
103
Top 1%
Top 10%
Top 1%
Green