Bibliometric Analysis of Global Remote Sensing Research during 2010–2015

Bibliometric analysis based on the Science Citation Index Expanded published by Thomson Scientific was carried out to identify the research status and future trends of remote sensing (RS) during 2010–2015. The analysis revealed the institutional, national, spatio-temporal, and categorical patterns i...

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Main Authors: Hongyue Zhang, Mingrui Huang, Xiuling Qing, Guoqing Li, Chuanzhao Tian
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:ISPRS International Journal of Geo-Information
Subjects:
CPP
Online Access:https://www.mdpi.com/2220-9964/6/11/332
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spelling doaj-662e2c993ea94a2796f291e29f8dc4cf2020-11-25T00:47:44ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-11-0161133210.3390/ijgi6110332ijgi6110332Bibliometric Analysis of Global Remote Sensing Research during 2010–2015Hongyue Zhang0Mingrui Huang1Xiuling Qing2Guoqing Li3Chuanzhao Tian4Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaThe National Science Library, Chinese Academy of Sciences, Beijing 100090, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaInstitute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, ChinaBibliometric analysis based on the Science Citation Index Expanded published by Thomson Scientific was carried out to identify the research status and future trends of remote sensing (RS) during 2010–2015. The analysis revealed the institutional, national, spatio-temporal, and categorical patterns in remote sensing research both from the WP (whole publications) viewpoint and the HCP (highly-cited publications) viewpoint. Statistical analysis results showed that remote sensing research almost doubled during 2010–2015. Environmental sciences comprised the most attractive subject category among remote sensing research. The International Journal of Remote Sensing was the most productive journal, and Remote Sensing of Environment published the most HCP among the 31 distributed journals. The productive ranking of countries was led by the U.S. both from the WP viewpoint and the HCP viewpoint, and CAS (Chinese Academy of Sciences) was the most productive institute both from the WP viewpoint and the HCP viewpoint with lower CPP (average number of citations per paper). Keyword analysis illustrated that model and algorithm research were the key points in RS during 2010–2015. RS data including Moderate-Resolution Imaging Spectroradiometer (MODIS), Landsat, synthetic aperture radar (SAR), and LiDAR (light detection and ranging) were the most frequently adopted, but the data usage of UAVs (unmanned aerial vehicles) and small satellites will be promoted in the future. With the development of data acquisition abilities, big data issues will become the challenges and hotspots of RS research, and new algorithms will continue to emerge.https://www.mdpi.com/2220-9964/6/11/332remote sensingbibliometric analysisWP viewpointHCP viewpointCPP
collection DOAJ
language English
format Article
sources DOAJ
author Hongyue Zhang
Mingrui Huang
Xiuling Qing
Guoqing Li
Chuanzhao Tian
spellingShingle Hongyue Zhang
Mingrui Huang
Xiuling Qing
Guoqing Li
Chuanzhao Tian
Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
ISPRS International Journal of Geo-Information
remote sensing
bibliometric analysis
WP viewpoint
HCP viewpoint
CPP
author_facet Hongyue Zhang
Mingrui Huang
Xiuling Qing
Guoqing Li
Chuanzhao Tian
author_sort Hongyue Zhang
title Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
title_short Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
title_full Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
title_fullStr Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
title_full_unstemmed Bibliometric Analysis of Global Remote Sensing Research during 2010–2015
title_sort bibliometric analysis of global remote sensing research during 2010–2015
publisher MDPI AG
series ISPRS International Journal of Geo-Information
issn 2220-9964
publishDate 2017-11-01
description Bibliometric analysis based on the Science Citation Index Expanded published by Thomson Scientific was carried out to identify the research status and future trends of remote sensing (RS) during 2010–2015. The analysis revealed the institutional, national, spatio-temporal, and categorical patterns in remote sensing research both from the WP (whole publications) viewpoint and the HCP (highly-cited publications) viewpoint. Statistical analysis results showed that remote sensing research almost doubled during 2010–2015. Environmental sciences comprised the most attractive subject category among remote sensing research. The International Journal of Remote Sensing was the most productive journal, and Remote Sensing of Environment published the most HCP among the 31 distributed journals. The productive ranking of countries was led by the U.S. both from the WP viewpoint and the HCP viewpoint, and CAS (Chinese Academy of Sciences) was the most productive institute both from the WP viewpoint and the HCP viewpoint with lower CPP (average number of citations per paper). Keyword analysis illustrated that model and algorithm research were the key points in RS during 2010–2015. RS data including Moderate-Resolution Imaging Spectroradiometer (MODIS), Landsat, synthetic aperture radar (SAR), and LiDAR (light detection and ranging) were the most frequently adopted, but the data usage of UAVs (unmanned aerial vehicles) and small satellites will be promoted in the future. With the development of data acquisition abilities, big data issues will become the challenges and hotspots of RS research, and new algorithms will continue to emerge.
topic remote sensing
bibliometric analysis
WP viewpoint
HCP viewpoint
CPP
url https://www.mdpi.com/2220-9964/6/11/332
work_keys_str_mv AT hongyuezhang bibliometricanalysisofglobalremotesensingresearchduring20102015
AT mingruihuang bibliometricanalysisofglobalremotesensingresearchduring20102015
AT xiulingqing bibliometricanalysisofglobalremotesensingresearchduring20102015
AT guoqingli bibliometricanalysisofglobalremotesensingresearchduring20102015
AT chuanzhaotian bibliometricanalysisofglobalremotesensingresearchduring20102015
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