PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering
Version 1
: Received: 19 May 2022 / Approved: 23 May 2022 / Online: 23 May 2022 (11:56:28 CEST)
How to cite:
Chigarev, B. The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering. Preprints2022, 2022050306. https://doi.org/10.20944/preprints202205.0306.v1
Chigarev, B. The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering. Preprints 2022, 2022050306. https://doi.org/10.20944/preprints202205.0306.v1
Chigarev, B. The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering. Preprints2022, 2022050306. https://doi.org/10.20944/preprints202205.0306.v1
APA Style
Chigarev, B. (2022). The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering. Preprints. https://doi.org/10.20944/preprints202205.0306.v1
Chicago/Turabian Style
Chigarev, B. 2022 "The Study of Promising Research Areas on the Petroleum Science Topic via Bibliometric Analysis of the 2018-2021 Publications in the Journal of Petroleum Science and Engineering" Preprints. https://doi.org/10.20944/preprints202205.0306.v1
Abstract
This article identifies promising research areas on the PETROLEUM SCIENCE topic via bibliometric analysis of the 2018-2021 publications in the highly cited Journal of Petroleum Science and Engineering, which is included in the Journal Citation Reports Section: ENERGY & FUELS — Q2 Quartile, ENGINEERING, PETROLEUM — Q1 Quartile. Bibliometric metadata from Web of Science were used for 866 articles in 2018, 1,142 — in 2019, 1,138 — in 2020, and 1,832 in 2021. The clustering of articles was performed using the texts of the Title, Abstract, Keywords, and Keywords Plus fields. The demo version of the Lingo3G algorithm was used. For the two major clusters, the most promising research topics were determined by comparing the titles of the 350 most cited and 350 least cited articles for each year. The hypothesis that low-cited papers often have the same subject matter as high-cited papers of previous years is discussed.
Keywords
promising areas of research; bibliometric analysis; Journal of Petroleum Science and Engineering; Web of Science; clustering
Subject
Engineering, Energy and Fuel Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
