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Review

Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021

State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan 430072, China
Remote Sens. 2022, 14(17), 4285; https://doi.org/10.3390/rs14174285
Submission received: 21 July 2022 / Revised: 21 August 2022 / Accepted: 25 August 2022 / Published: 30 August 2022
(This article belongs to the Special Issue New Developments in Remote Sensing for the Environment)

Abstract

Covering the full texts of all papers published in MDPI’s Remote Sensing between 2009 and 2021, in-depth scientometric analyses were conducted. Trends in publications show an increase in the overall number of papers. A relative increase in papers using SAR sensors and a relative decrease in papers using optical remote sensing can also be seen. The full-text analyses reveal distinctive styles and writing patterns for papers from different sub-fields of remote sensing and for different countries and even cities. While a slight increase in the readability of abstracts is detected over time, the overall readability of papers is decreasing. Institutional co-authorship analysis reveals the ongoing ‘scientific decoupling’ between China and the USA in remote sensing. Using scientometric full-text analysis, current trends and developments are revealed.
Keywords: scientometric; remote sensing; trends; cooperation; readability scientometric; remote sensing; trends; cooperation; readability
Graphical Abstract

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MDPI and ACS Style

Balz, T. Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021. Remote Sens. 2022, 14, 4285. https://doi.org/10.3390/rs14174285

AMA Style

Balz T. Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021. Remote Sensing. 2022; 14(17):4285. https://doi.org/10.3390/rs14174285

Chicago/Turabian Style

Balz, Timo. 2022. "Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021" Remote Sensing 14, no. 17: 4285. https://doi.org/10.3390/rs14174285

APA Style

Balz, T. (2022). Scientometric Full-Text Analysis of Papers Published in Remote Sensing between 2009 and 2021. Remote Sensing, 14(17), 4285. https://doi.org/10.3390/rs14174285

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