Revision Bibliografica

# then load metagear
library(metagear)
library(bib2df)
library(bibliometrix)
library(pubmedR)
library(readr)

Scopus search by the keyword “Ecosystem Based Adaptation”

We found:

## 
## Converting your scopus collection into a bibliographic dataframe
## 
## Done!
## 
## 
## Generating affiliation field tag AU_UN from C1:  Done!

## 
## 
## MAIN INFORMATION ABOUT DATA
## 
##  Timespan                              1993 : 2020 
##  Sources (Journals, Books, etc)        206 
##  Documents                             391 
##  Average years from publication        4.42 
##  Average citations per documents       16.74 
##  Average citations per year per doc    2.478 
##  References                            25932 
##  
## DOCUMENT TYPES                     
##  article                266 
##  book                   3 
##  book chapter           60 
##  conference paper       13 
##  conference review      3 
##  review                 46 
##  
## DOCUMENT CONTENTS
##  Keywords Plus (ID)                    1922 
##  Author's Keywords (DE)                1121 
##  
## AUTHORS
##  Authors                               1683 
##  Author Appearances                    1948 
##  Authors of single-authored documents  50 
##  Authors of multi-authored documents   1633 
##  
## AUTHORS COLLABORATION
##  Single-authored documents             54 
##  Documents per Author                  0.232 
##  Authors per Document                  4.3 
##  Co-Authors per Documents              4.98 
##  Collaboration Index                   4.85 
##  
## 
## Annual Scientific Production
## 
##  Year    Articles
##     1993        1
##     2000        1
##     2001        1
##     2002        1
##     2003        2
##     2005        1
##     2006        2
##     2007        1
##     2008        4
##     2009        8
##     2010        5
##     2011       12
##     2012       23
##     2013       30
##     2014       34
##     2015       33
##     2016       52
##     2017       40
##     2018       58
##     2019       54
##     2020       28
## 
## Annual Percentage Growth Rate 13.13538 
## 
## 
## Most Productive Authors
## 
##    Authors        Articles Authors        Articles Fractionalized
## 1     LOCATELLI B       10    WAMSLER C                      3.38
## 2     WAMSLER C         10    NA NA                          3.00
## 3     VIGNOLA R          9    ALVERSON K                     2.92
## 4     ALVERSON K         6    SHAW R                         2.83
## 5     BECK MW            6    UY N                           2.83
## 6     HARVEY CA          6    LOCATELLI B                    2.31
## 7     SHAW R             6    VIGNOLA R                      2.11
## 8     UY N               6    FORSYTH T                      2.00
## 9     REID H             5    SCARANO FR                     1.92
## 10    DJOUDI H           4    REID H                         1.86
## 
## 
## Top manuscripts per citations
## 
##                                             Paper           TC TCperYear
## 1  GIVNISH TJ, 2002, SILVA FENN                            302     15.89
## 2  WOODRUFF DS, 2010, BIODIVERSITY CONSERV                 223     20.27
## 3  BORSJE BW, 2011, ECOL ENG                               219     21.90
## 4  KATSANEVAKIS S, 2011, OCEAN COAST MANAGE                217     21.70
## 5  JONES HP, 2012, NAT CLIM CHANGE                         201     22.33
## 6  SPALDING MD, 2014, OCEAN COAST MANAGE                   170     24.29
## 7  ROSE KA, 2010, MAR COASTAL FISH                         158     14.36
## 8  SCHOENNAGEL T, 2017, PROC NATL ACAD SCI U S A           134     33.50
## 9  VIGNOLA R, 2009, MITIGATION ADAPT STRATEG GLOBAL CHANGE 112      9.33
## 10 MUNANG R, 2013, CURR OPIN ENVIRON SUSTAINABILITY        109     13.62
## 
## 
## Corresponding Author's Countries
## 
##           Country Articles   Freq SCP MCP MCP_Ratio
## 1  USA                  53 0.2008  30  23     0.434
## 2  AUSTRALIA            18 0.0682  11   7     0.389
## 3  UNITED KINGDOM       18 0.0682   7  11     0.611
## 4  GERMANY              17 0.0644   7  10     0.588
## 5  CANADA               15 0.0568  10   5     0.333
## 6  BRAZIL               12 0.0455   9   3     0.250
## 7  SOUTH AFRICA         10 0.0379   7   3     0.300
## 8  NETHERLANDS           9 0.0341   5   4     0.444
## 9  JAPAN                 8 0.0303   5   3     0.375
## 10 KENYA                 8 0.0303   4   4     0.500
## 
## 
## SCP: Single Country Publications
## 
## MCP: Multiple Country Publications
## 
## 
## Total Citations per Country
## 
##           Country      Total Citations Average Article Citations
## 1  USA                            1746                     32.94
## 2  UNITED KINGDOM                  476                     26.44
## 3  AUSTRALIA                       327                     18.17
## 4  SOUTH AFRICA                    314                     31.40
## 5  NETHERLANDS                     310                     34.44
## 6  GERMANY                         240                     14.12
## 7  GREECE                          234                     78.00
## 8  COSTA RICA                      216                     36.00
## 9  CANADA                          204                     13.60
## 10 SWEDEN                          159                     19.88
## 
## 
## Most Relevant Sources
## 
##                                            Sources        Articles
## 1  CLIMATE CHANGE MANAGEMENT                                    16
## 2  MARINE POLICY                                                14
## 3  ENVIRONMENTAL SCIENCE AND POLICY                             13
## 4  ADVANCES IN NATURAL AND TECHNOLOGICAL HAZARDS RESEARCH       12
## 5  OCEAN AND COASTAL MANAGEMENT                                  9
## 6  ECOLOGY AND SOCIETY                                           8
## 7  PLOS ONE                                                      7
## 8  REGIONAL ENVIRONMENTAL CHANGE                                 7
## 9  SUSTAINABILITY (SWITZERLAND)                                  7
## 10 CLIMATIC CHANGE                                               6
## 
## 
## Most Relevant Keywords
## 
##     Author Keywords (DE)      Articles Keywords-Plus (ID)     Articles
## 1  ECOSYSTEM BASED ADAPTATION      101   CLIMATE CHANGE            199
## 2  CLIMATE CHANGE                   83   ADAPTIVE MANAGEMENT        91
## 3  ADAPTATION                       51   ECOSYSTEMS                 68
## 4  ECOSYSTEM SERVICES               43   ECOSYSTEM SERVICE          52
## 5  CLIMATE CHANGE ADAPTATION        33   ECOSYSTEM                  51
## 6  ECOSYSTEM BASED MANAGEMENT       22   ADAPTATION                 49
## 7  RESILIENCE                       17   BIODIVERSITY               48
## 8  BIODIVERSITY                     15   ECOSYSTEM MANAGEMENT       41
## 9  NATURE BASED SOLUTIONS           15   ARTICLE                    35
## 10 VULNERABILITY                    15   ECOLOGY                    35

Citation analisys

10th most frequent cited first authors and the most frequent local cited authors:

CR <- citations(M, field = "article", sep = ";")
# cbind(CR$Cited[1:10]) # jus to check

CR <- citations(M, field = "author", sep = ";")
cbind(CR$Cited[1:10])

##             [,1]
## FOLKE C      182
## LOCATELLI B  173
## ADGER W N    166
## REID H       141
## VIGNOLA R    122
## WAMSLER C    119
## LIU J        107
## MUNANG R     103
## MUNROE R     103
## DOSWALD N     98

CR <- localCitations(M, sep = ";") # most frequent local cited authors: 

## 
## SCOPUS DB: Searching local citations (LCS) by document titles (TI) and DOIs...
## 
## Found 110 documents with no empty Local Citations (LCS)

CR$Papers[1:10,] # papers

DF <- dominance(results, k = 10) # authors’ dominance ranking as proposed by Kumar & Kumar, 2008.
# DF

Calculating the h-index of the first 10 most productive authors (in this collection):

authors=gsub(","," ",names(results$Authors)[1:10])

indices <- Hindex(M, field = "author", elements=authors, sep = ";", years = 50)

indices$H

Top-Authors’ Productivity over the Time

topAU <- authorProdOverTime(M, k = 10, graph = TRUE)

Bibliographic network matrices

Manuscript’s attributes are connected to each other through the manuscript itself: author(s) to journal, keywords to publication date, etc.

These connections of different attributes generate bipartite networks that can be represented as rectangular matrices (Manuscripts x Attributes).

Furthermore, scientific publications regularly contain references to other scientific works. This generates a further network, namely, co-citation or coupling network.

These networks are analyzed in order to capture meaningful properties of the underlying research system, and in particular to determine the influence of bibliometric units such as scholars and journals.

A <- cocMatrix(M, Field = "AU", sep = ";") # autor

M <- metaTagExtraction(M, Field = "AU_CO", sep = ";")
NetMatrix <- biblioNetwork(M, analysis = "coupling", network = "references", sep = ".  ")

NetMatrix <- biblioNetwork(M, analysis = "coupling", network = "authors", sep = ";")

net=networkPlot(NetMatrix,  normalize = "salton", weighted=NULL, n = 100, Title = "Authors' Coupling", type = "fruchterman", size=5,size.cex=T,remove.multiple=TRUE,labelsize=0.8,label.n=10,label.cex=F)

# country
M2 <- metaTagExtraction(M, Field = "AU_CO", sep = ";")
NetMatrix2 <- biblioNetwork(M, analysis = "collaboration", network = "countries", sep = ";")

# Plot the network
net=networkPlot(NetMatrix2, n = dim(NetMatrix2)[1], Title = "Country Collaboration", type = "circle", size=TRUE, remove.multiple=FALSE,labelsize=0.7,cluster="none")

Co-Citation Network

# Create a co-citation network

NetMatrix3 <- biblioNetwork(M, analysis = "co-citation", network = "references", sep = ";")

# Plot the network
net=networkPlot(NetMatrix3, n = 30, Title = "Co-Citation Network", type = "fruchterman", size=T, remove.multiple=FALSE, labelsize=0.7,edgesize = 5)

Create keyword co-occurrences network

# Create keyword co-occurrences network

NetMatrix4 <- biblioNetwork(M, analysis = "co-occurrences", network = "keywords", sep = ";")

# Plot the network
net=networkPlot(NetMatrix4, normalize="association", weighted=T, n = 30, Title = "Keyword Co-occurrences", type = "fruchterman", size=T,edgesize = 5,labelsize=0.7)