Bibliometric analysis on Geographically Weighted Regression
Binbin Lu and Alexis Comber
August 2019
Prepare the data
We searched the keyword, “Geographically Weighted Regression” with the web of science core collection database (http://apps.webofknowledge.com), and it hits 1795 records. With the package Bibliometrix by Massimo Aria and Corrado Cuccurullo, we conducted some bibliometric analysis with the collected data. The information could be useful for summarying the evolution of the GWR technique.
library(bibliometrix)
D <- readFiles("savedrecs (1).txt", "savedrecs (10).txt", "savedrecs (11).txt", "savedrecs (12).txt" ,"savedrecs (13).txt",
"savedrecs (14).txt", "savedrecs (15).txt" ,"savedrecs (16).txt","savedrecs (17).txt" ,"savedrecs (18).txt",
"savedrecs (19).txt", "savedrecs (2).txt" , "savedrecs (20).txt" ,"savedrecs (21).txt" ,"savedrecs (22).txt",
"savedrecs (23).txt" ,"savedrecs (24).txt" ,"savedrecs (25).txt", "savedrecs (26).txt", "savedrecs (27).txt",
"savedrecs (3).txt" , "savedrecs (4).txt" ,"savedrecs (5).txt" , "savedrecs (6).txt", "savedrecs (7).txt" ,
"savedrecs (8).txt", "savedrecs (9).txt" )
M <- convert2df(D, dbsource = "wos", format = "plaintext")General Information
Calculate the main bibliometric measures of these manuscripts and summarize the information.
results <- biblioAnalysis(M,sep=";")options(width=100)
S <- summary(object = results, k=15, pause=F)##
##
## Main Information about data
##
## Documents 1795
## Sources (Journals, Books, etc.) 703
## Keywords Plus (ID) 4070
## Author's Keywords (DE) 4098
## Period 1999 - 2019
## Average citations per documents 15.2
##
## Authors 5232
## Author Appearances 7193
## Authors of single-authored documents 115
## Authors of multi-authored documents 5117
## Single-authored documents 133
##
## Documents per Author 0.343
## Authors per Document 2.91
## Co-Authors per Documents 4.01
## Collaboration Index 3.08
##
## Document types
## ARTICLE 1540
## ARTICLE; BOOK CHAPTER 1
## ARTICLE; DATA PAPER 1
## ARTICLE; EARLY ACCESS 5
## ARTICLE; PROCEEDINGS PAPER 29
## BOOK REVIEW 4
## CORRECTION 4
## EDITORIAL MATERIAL 4
## LETTER 1
## MEETING ABSTRACT 5
## PROCEEDINGS PAPER 134
## REVIEW 17
##
##
## Annual Scientific Production
##
## Year Articles
## 1999 8
## 2000 4
## 2001 5
## 2002 8
## 2003 10
## 2004 15
## 2005 22
## 2006 25
## 2007 31
## 2008 42
## 2009 46
## 2010 67
## 2011 72
## 2012 115
## 2013 124
## 2014 144
## 2015 134
## 2016 204
## 2017 242
## 2018 295
## 2019 177
##
## Annual Percentage Growth Rate 16.74658
##
##
## Most Productive Authors
##
## Authors Articles Authors Articles Fractionalized
## 1 FOTHERINGHAM AS 29 FOTHERINGHAM AS 11.45
## 2 BRUNSDON C 28 HARRIS P 7.88
## 3 HARRIS P 26 BRUNSDON C 7.77
## 4 CHARLTON M 24 CHARLTON M 6.31
## 5 LIU Y 23 PAEZ A 5.33
## 6 ZHANG LJ 15 LIU Y 5.19
## 7 GUO L 14 ZHANG LJ 5.14
## 8 LU BB 14 YU DL 5.00
## 9 HUANG B 13 YANG TC 4.68
## 10 LIU J 13 FOODY GM 4.67
## 11 WANG L 13 MEI CL 4.67
## 12 ZHANG CR 13 HUANG B 4.02
## 13 MEI CL 12 MULLEY C 3.82
## 14 YANG TC 12 TU J 3.67
## 15 LI WD 11 WANG L 3.46
##
##
## Top manuscripts per citations
##
## Paper TC TCperYear
## 1 AUSTIN M, 2007, ECOL MODEL 738 61.50
## 2 BARBET-MASSIN M, 2012, METHODS ECOL EVOL 519 74.14
## 3 SAIMAN L, 2000, PEDIATR INFECT DIS J 338 17.79
## 4 HARRISON SA, 2008, GUT 334 30.36
## 5 BUYANTUYEV A, 2010, LANDSCAPE ECOL 257 28.56
## 6 HUDSON N, 2008, SCI TOTAL ENVIRON 205 18.64
## 7 MA ZW, 2014, ENVIRON SCI TECHNOL 181 36.20
## 8 VAN DONKELAAR A, 2016, ENVIRON SCI TECHNOL 176 58.67
## 9 NAKAYA T, 2005, STAT MED 175 12.50
## 10 BRUNSDON C, 1999, J REGIONAL SCI 167 8.35
## 11 WHEELER DC, 2007, J GEOGR SYST 164 13.67
## 12 MILLER J, 2007, ECOL MODEL 162 13.50
## 13 LEUNG Y, 2000, ENVIRON PLANN A-a 158 8.32
## 14 FOODY GM, 2003, REMOTE SENS ENVIRON 157 9.81
## 15 MCKENZIE NL, 2007, J BIOGEOGR 149 12.42
##
##
## Corresponding Author's Countries
##
## Country Articles Freq SCP MCP MCP_Ratio
## 1 USA 480 0.2767 386 94 0.196
## 2 CHINA 466 0.2686 313 153 0.328
## 3 UNITED KINGDOM 94 0.0542 56 38 0.404
## 4 CANADA 56 0.0323 32 24 0.429
## 5 SPAIN 53 0.0305 33 20 0.377
## 6 AUSTRALIA 49 0.0282 32 17 0.347
## 7 GERMANY 33 0.0190 18 15 0.455
## 8 BRAZIL 32 0.0184 22 10 0.312
## 9 ITALY 29 0.0167 18 11 0.379
## 10 TAIWAN(CHINA) 29 0.0167 20 9 0.310
## 11 FRANCE 26 0.0150 17 9 0.346
## 12 KOREA 26 0.0150 14 12 0.462
## 13 TURKEY 26 0.0150 21 5 0.192
## 14 IRELAND 23 0.0133 10 13 0.565
## 15 JAPAN 23 0.0133 15 8 0.348
##
##
## SCP: Single Country Publications
##
## MCP: Multiple Country Publications
##
##
## Total Citations per Country
##
## Country Total Citations Average Article Citations
## 1 USA 8695 18.115
## 2 CHINA 4899 10.513
## 3 UNITED KINGDOM 2836 30.170
## 4 AUSTRALIA 1827 37.286
## 5 CANADA 1209 21.589
## 6 FRANCE 815 31.346
## 7 SPAIN 563 10.623
## 8 IRELAND 556 24.174
## 9 GERMANY 509 15.424
## 10 JAPAN 479 20.826
## 11 TAIWAN(CHINA) 369 12.724
## 12 BRAZIL 348 10.875
## 13 ITALY 331 11.414
## 14 TURKEY 323 12.423
## 15 SWEDEN 225 25.000
##
##
## Most Relevant Sources
##
## Sources Articles
## 1 APPLIED GEOGRAPHY 70
## 2 SUSTAINABILITY 40
## 3 PLOS ONE 38
## 4 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 34
## 5 REMOTE SENSING 33
## 6 SCIENCE OF THE TOTAL ENVIRONMENT 31
## 7 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 29
## 8 GEOGRAPHICAL ANALYSIS 26
## 9 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 26
## 10 JOURNAL OF TRANSPORT GEOGRAPHY 26
## 11 REMOTE SENSING OF ENVIRONMENT 22
## 12 INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS 20
## 13 ECOLOGICAL INDICATORS 18
## 14 GISCIENCE & REMOTE SENSING 16
## 15 JOURNAL OF GEOGRAPHICAL SYSTEMS 14
##
##
## Most Relevant Keywords
##
## Author Keywords (DE) Articles Keywords-Plus (ID) Articles
## 1 GEOGRAPHICALLY WEIGHTED REGRESSION 511 GEOGRAPHICALLY WEIGHTED REGRESSION 524
## 2 GWR 115 MODELS 137
## 3 SPATIAL ANALYSIS 73 PATTERNS 123
## 4 SPATIAL HETEROGENEITY 64 MODEL 120
## 5 GEOGRAPHICALLY WEIGHTED REGRESSION GWR 58 REGRESSION 111
## 6 CHINA 55 UNITED STATES 101
## 7 GIS 51 LAND USE 94
## 8 SPATIAL AUTOCORRELATION 38 CHINA 86
## 9 REMOTE SENSING 36 IMPACT 86
## 10 SPATIAL NON STATIONARITY 31 HEALTH 85
## 11 LAND USE 26 ASSOCIATION 68
## 12 PM2 5 25 RISK 65
## 13 NON STATIONARITY 24 MORTALITY 64
## 14 SPATIAL REGRESSION 23 PREDICTION 62
## 15 AIR POLLUTION 22 CLIMATE CHANGE 60We can also use some simple plots to to visualize the information.
plot(x=results, k=10, pause=F)
