Hotspots and Tendencies of Energy Optimization Based on Bibliometric Review

Issam Hanafi (), Bousselham Samoudi, Ahlem Ben Halima and Laurent Canale ()
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Issam Hanafi: Laboratory of Engineering Sciences and Applications, ENSAH, Abdelmalek Essaâdi University, Al Hoceima 32000, Morocco
Bousselham Samoudi: Laboratory of Engineering Sciences and Applications, ENSAH, Abdelmalek Essaâdi University, Al Hoceima 32000, Morocco
Ahlem Ben Halima: EMIR, Private Higher School of Engineering of Monastir, Monastir 5060, Tunisia
Laurent Canale: French National Center of Scientific Research (CNRS), LAPLACE, UMR 5213, 31000 Toulouse, France

Energies, 2022, vol. 16, issue 1, 1-22

Abstract: Due to the highly recent innovations in energy optimization research, this study presents a systematic overview of the area, exposing gaps and interesting directions for future research. The current study investigated the trend of research growth using 24,946 research paper with 731,873 references data gathered from the Web of Science Core Collection database (WOS), from the period between 1990 and September 2022, using bibliographic coupling and keyword co-occurrence. The aim of this research is to analyze bibliometric efficiency criteria, such as publishing and citation trends, the top ten institutions, countries, and the most frequently referenced articles. The Matlab and Vos viewer software illustrate the current state of visualization research articles. Science maps as result of indicators, such as the most often used keywords plus and keywords, citation and co-citation, and collaboration is also being established for in-depth research. The study findings enable us to conclude that the number of publications in this field show that the importance has grown tremendously over the last 30 years, with China, United States, Germany, and India emerging as the countries that publish the most. The top ten researchers in led energy optimization were also identified. Academics should become acquainted with the hotspots in this discipline as soon as possible. This is also the first study to use bibliometric research to thoroughly evaluate the energy optimization literature. It will help researchers widen their knowledge and quickly comprehend the present condition and trend of development.

Keywords: bibliometric analysis; energy optimization; review; co-occurrence analysis; visualization analysis; web of science; publication trend (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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