Bibliographic Collection

Data source: Clarivate Analytics Web of Science (http://apps.webofknowledge.com)

Data format: Plaintext

Query: SO = “Journal of Informetrics”

Timespan: 2007-2017

Document Type: Articles, letters, review and proceedings papers

Query data: May, 2018

Install and load bibliometrix R-package

# Stable version from CRAN (Comprehensive R Archive Network)
# if you need to execute the code, remove # from the beginning of the next line

# install.packages("bibliometrix")


# Most updated version from GitHub
# if you need to execute the code, remove # from the beginning of the next lines

# install.packages("devtools")
# devtools::install_github("massimoaria/bibliometrix")

library(bibliometrix)
## To cite bibliometrix in publications, please use:
## 
## Aria, M. & Cuccurullo, C. (2017) bibliometrix: An R-tool for comprehensive science mapping analysis, 
##                                  Journal of Informetrics, 11(4), pp 959-975, Elsevier.
##                         
## 
## https://www.bibliometrix.org
## 
##                         
## For information and bug reports:
##                         - Send an email to info@bibliometrix.org   
##                         - Write a post on https://github.com/massimoaria/bibliometrix/issues
##                         
## Help us to keep Bibliometrix free to download and use by contributing with a small donation to support our research team (https://bibliometrix.org/donate.html)
## 
##                         
## To start with the shiny web-interface, please digit:
## biblioshiny()

Data Loading and Converting

myfile <- ("https://bibliometrix.org/datasets/joi.txt")

# Converting the loaded files into a R bibliographic dataframe
M <- convert2df(file=myfile, dbsource="wos",format="plaintext")
## 
## Converting your wos collection into a bibliographic dataframe
## 
## Done!
## 
## 
## Generating affiliation field tag AU_UN from C1:  Done!

Section 1: Descriptive Analysis

Although bibliometrics is mainly known for quantifying the scientific production and measuring its quality and impact, it is also useful for displaying and analysing the intellectual, conceptual and social structures of research as well as their evolution and dynamical aspects.

In this way, bibliometrics aims to describe how specific disciplines, scientific domains, or research fields are structured and how they evolve over time. In other words, bibliometric methods help to map the science (so-called science mapping) and are very useful in the case of research synthesis, especially for the systematic ones.

Bibliometrics is an academic science founded on a set of statistical methods, which can be used to analyze scientific big data quantitatively and their evolution over time and discover information. Network structure is often used to model the interaction among authors, papers/documents/articles, references, keywords, etc.

Bibliometrix is an open-source software for automating the stages of data-analysis and data-visualization. After converting and uploading bibliographic data in R, Bibliometrix performs a descriptive analysis and different research-structure analysis.

Descriptive analysis provides some snapshots about the annual research development, the top “k” productive authors, papers, countries and most relevant keywords.

Main findings about the collection

#options(width=160)
results <- biblioAnalysis(M)
summary(results, k=10, pause=F, width=130)


MAIN INFORMATION ABOUT DATA

 Timespan                              2007 : 2017 
 Sources (Journals, Books, etc)        1 
 Documents                             770 
 Annual Growth Rate %                  12.4 
 Document Average Age                  9 
 Average citations per doc             16.53 
 Average citations per year per doc    1.428 
 References                            14625 
 
DOCUMENT TYPES                     
 article                         698 
 article; proceedings paper      7 
 letter                          54 
 review                          11 
 
DOCUMENT CONTENTS
 Keywords Plus (ID)                    1104 
 Author's Keywords (DE)                1991 
 
AUTHORS
 Authors                               987 
 Author Appearances                    1882 
 Authors of single-authored docs       105 
 
AUTHORS COLLABORATION
 Single-authored docs                  205 
 Documents per Author                  0.78 
 Co-Authors per Doc                    2.44 
 International co-authorships %        28.44 
 

Annual Scientific Production

 Year    Articles
    2007       32
    2008       34
    2009       35
    2010       68
    2011       67
    2012       75
    2013      102
    2014       89
    2015       82
    2016       83
    2017      103

Annual Percentage Growth Rate 12.40062 


Most Productive Authors

   Authors        Articles Authors        Articles Fractionalized
1   BORNMANN L          55  BORNMANN L                      26.25
2   LEYDESDORFF L       35  LEYDESDORFF L                   17.00
3   ROUSSEAU R          33  THELWALL M                      16.70
4   ABRAMO G            31  ROUSSEAU R                      14.50
5   D'ANGELO CA         29  EGGHE L                         13.17
6   THELWALL M          27  ABRAMO G                        12.00
7   WALTMAN L           21  D'ANGELO CA                     11.33
8   DANIEL HD           15  SCHREIBER M                     11.33
9   DING Y              15  KOSMULSKI M                     11.00
10  EGGHE L             15  WALTMAN L                        9.82


Top manuscripts per citations

                          Paper                                DOI  TC TCperYear  NTC
1  ALONSO S, 2009, J INFORMETR           10.1016/j.joi.2009.04.001 254      18.1 6.44
2  MOED HF, 2010, J INFORMETR            10.1016/j.joi.2010.01.002 251      19.3 8.05
3  COSTAS R, 2007, J INFORMETR           10.1016/j.joi.2007.02.001 189      11.8 3.77
4  WAGNER CS, 2011, J INFORMETR          10.1016/j.joi.2010.06.004 186      15.5 6.24
5  GONZALEZ-PEREIRA B, 2010, J INFORMETR 10.1016/j.joi.2010.03.002 181      13.9 5.80
6  PRABOWO R, 2009, J INFORMETR          10.1016/j.joi.2009.01.003 180      12.9 4.57
7  CHEN P, 2007, J INFORMETR             10.1016/j.joi.2006.06.001 177      11.1 3.53
8  WALTMAN L, 2011, J INFORMETR-a        10.1016/j.joi.2010.08.001 176      14.7 5.90
9  CRAIG ID, 2007, J INFORMETR           10.1016/j.joi.2007.04.001 152       9.5 3.03
10 WALTMAN L, 2010, J INFORMETR          10.1016/j.joi.2010.07.002 149      11.5 4.78


Corresponding Author's Countries

          Country Articles   Freq SCP MCP MCP_Ratio
1  CHINA                96 0.1253  63  33    0.3438
2  USA                  82 0.1070  59  23    0.2805
3  ITALY                68 0.0888  62   6    0.0882
4  GERMANY              62 0.0809  35  27    0.4355
5  NETHERLANDS          57 0.0744  40  17    0.2982
6  SPAIN                57 0.0744  44  13    0.2281
7  BELGIUM              51 0.0666  26  25    0.4902
8  UNITED KINGDOM       44 0.0574  35   9    0.2045
9  POLAND               25 0.0326  23   2    0.0800
10 SWITZERLAND          22 0.0287  12  10    0.4545


SCP: Single Country Publications

MCP: Multiple Country Publications


Total Citations per Country

     Country      Total Citations Average Article Citations
1  NETHERLANDS               2052                     36.00
2  USA                       1557                     18.99
3  SPAIN                     1373                     24.09
4  UNITED KINGDOM            1120                     25.45
5  GERMANY                   1076                     17.35
6  CHINA                      913                      9.51
7  ITALY                      746                     10.97
8  BELGIUM                    558                     10.94
9  SWITZERLAND                435                     19.77
10 CANADA                     346                     16.48


Most Relevant Sources

           Sources        Articles
1 JOURNAL OF INFORMETRICS      770


Most Relevant Keywords

   Author Keywords (DE)      Articles Keywords-Plus (ID)     Articles
1        BIBLIOMETRICS             80   SCIENCE                   207
2        CITATION ANALYSIS         78   IMPACT                    127
3        H-INDEX                   69   INDICATORS                 98
4        RESEARCH EVALUATION       44   H-INDEX                    73
5        CITATIONS                 27   JOURNALS                   63
6        G-INDEX                   26   INDEX                      50
7        IMPACT FACTOR             24   PUBLICATION                50
8        SCIENTOMETRICS            23   PERFORMANCE                46
9        HIRSCH INDEX              19   NETWORKS                   45
10       COLLABORATION             18   RESEARCH PERFORMANCE       43
plot(x=results, k=10, pause=F)