Bibliometric
Study of Journal of Ravishankar University Part B (Science) during 1988-2024
Purnima
Kumari1, Kirti Jachak2, Mahendra Kumar Patel3
1,2,3Pt. Sundarlal
Sharma Library, Pt. Ravishankar Shukla University, Raipur (C.G.)
1purnima.27@rediffmail.com, 2kirtijachak@gmail.com, 3mahendra23kumar@gmail.com
Abstract:
This
paper aims to examine the bibliometric study of the “Journal of Ravishankar
University Part B” covering the study period from 1988 to 2024. The data were retrieved
from the journal’s website. The study includes 618 articles published in 48
issues of the journal. The study examines several bibliometric variables,
including the year-wise distribution of publications, prolific authors,
authorship patterns, degree of collaboration, relative growth rate, doubling
time, and annual growth rate. The findings indicate that the highest number of
articles 262 was published in the year 2016. The most prolific authors were
A.K. Bansal, Sanjay Tiwari, and S.K. Jadhav. Additionally, it was found that
multi-author papers were more predominant than single-author papers. The
highest degree of collaboration was 1.0 during the years from 1988 to 2024,
with a mean degree of collaboration of 0.84. The maximum relative growth rate
was observed to be 0.76 in 2016, while the maximum doubling time was 85.34 in
2013. The study also found that the maximum annual growth rate in 2016 was
114.91.
Keywords: Bibliometric,
Prolific author, Productivity, Citation, Relative growth rate, Authorship
pattern, Degree of collaboration.
1.
Introduction
Bibliometrics
is the quantitative analysis of academic publications and related information
to evaluate research performance publication impact and research trends. The
term "bibliometrics" was first used by Alan Pritchard in 1969 to
describe the statistical analysis of bibliographic data.
Bibliometrics
is an important tool for research evaluation and management. It helps to
measure the impact quality and productivity of researcher’s institutions and
scientific disciplines. Bibliometric indicators are used as performance
measures for researchers funding agencies and universities. In the field of library and information science, bibliometrics
are widely used as a method for identifying research trends in a particular
subject, authorship patterns, collaboration patterns, obsolescence as well as
scattering of literature.(Namdeo and
Nasiket)
Bibliometric
analysis is a method that uses quantitative techniques to analyze the
production dissemination and use of scientific literature. This study aims to
conduct a bibliometric analysis of the Journal of Ravishankar University (JRU)
from 1988 to 2024. The JRU is an academic journal published by Ravishankar
University Raipur Chhattisgarh and it covers research articles review articles
and case studies on various academic fields.
Some common
bibliometric indicators are:
1. Citation
counts: The frequency of citations to an article by other publications.
2. h-index: A
measure of a researcher's productivity and impact that considers both the
number of publications and the citations per publication.
3. Journal impact
factor: A measure of the average citation impact of articles in a journal.
4. Collaboration
indices: Measures of the level of collaboration between researchers based on
co-authorship data.
Bibliometrics
is also used for mapping research fronts and identifying emerging research
areas. This can help policymakers and researchers to identify areas where
additional research and funding may be needed. However, bibliometrics also has
its limitations such as the possibility of self-citation and the bias towards
established fields and high-impact journals. Therefore, it is important to use
bibliometric indicators in conjunction with other measures such as peer review
and expert opinions when evaluating research output.
Source
Journal:
The Journal of Ravishankar University Part B (Science) is a peer-reviewed and
indexed hybrid journal that is freely available and open access. It enhances
the visibility, citations, and readership of published research, thereby
increasing its impact. The journal is indexed in Google Scholar, EBSCO, and
Crossref. It features special sections on a variety of topics of interest,
providing a platform for the scientific community to showcase their work. In
recent years, several different sections have been well received, covering
areas such as analytical and environmental chemistry, physical chemistry,
nanomaterials, aerosols, pesticides, electronics, the Indian monsoon, as well
as biotechnological, pharmaceutical, agricultural, and behavioral sciences.(JRUB-About
Journal)
2. Literature Review:
Yadav,
Shrawan and Sahu, Dr. Harish Kumar (2024) presents a comprehensive bibliometric
analysis of the Journal of Ravishankar Shukla University (Part-A) over the
period of 2016 to 2023. According to the study, most articles were published in
2016 with 18 publications. Harish Kumar Sahu and L.S. Gajpal were found to be
the most prolific contributors. With 25.26% and 10.53 % of publications,
Library and Information Science and Sociology had the highest percentage of
publications. Results indicated that relative growth rates fluctuated during
the study period. The findings show that collaborative research is in a growing
trend.(Yadav and Sahu)
Kunal Gaurav and Gireesh Kumar T.
K. (2022) analyzed the research productivity and collaboration pattern of
Banaras Hindu University (BHU) during 2001 to 2020. Data for the study were
gathered from the Scopus Database. The
study's findings show a steady increase in research publications throughout the
course of the year. From 2001 to 2020,
22,126 BHU publications in all areas obtained 372,427 citations. According to the study, "Environmental
Science" had the greatest average citation percentage (24.13% citations
per manuscript), while "Earth and Planetary Science" had the lowest
(14.87%).(Gaurav and Kumar
T.K.)
Garg,
K. C., Suresh Kumar and Sonia Bansal (2021) analyzed the 7,056 papers published
by Indian scientists during 2001-2020 in the discipline of veterinary sciences.
The findings of the study revealed that the most of the institutions situated
at Tirupati were funded by Indian Council of Agricultural Research (ICAR)
published about 71% of the total output, except Sri Venkateswara University.
Indian Veterinary Research Institute (IVRI), Izatnagar produced the highest
number of papers and also found the highest number of authors.(Garg et al.)
Awasthi,
Shipra, Shiva Kanaujia Sukula and Jasbir Singh (2021) examined the two most
prestigious journals in the field of library and information science from 2012
to 2016 the DESIDOC Journal of Library and Information Technology (DJLIT) and
the Annals of Library and Information Studies (ALIS). After the study, result showed
that the Pujar & Bansode and Gopikuttan & Aswathy were the most cited
authors in ALIS and DJLIT respectively during the years while the Open-Source
Software, Scientometrics, India, DSpace, and Digital Library were the top
five keywords appeared in the journals.(Awasthi et al.)
Satish Kumar (2018)
examines the research output of scientists at the Aryabhatta Research Institute
of Observational Sciences (ARIES) through scientometric analysis. The aim is to
assess ARIES's research performance. Bibliographic information for the research
articles published by ARIES from 2001 to 2015 was collected using the Web of
Science (WoS) database. The findings show a consistent increase in ARIES
publications over the years, with 2013 being the most productive year,
accounting for 13.59% of the total publications. In contrast, 2002 was the
least productive year, with just 1.92% of the publications. The primary
research areas at ARIES are clearly astronomy, astrophysics, and atmospheric
sciences. Additionally, the study reveals that ARIES scientists frequently
collaborate with researchers in the United States.(Kumar)
Brahma, Krishna, and
Manoj Kumar Verma (2018) analysed 202 articles published in the Malaysian
Journal of Library and Information Science from 2007 to 2016. Their findings
revealed that Malaysia had the highest contribution, accounting for 31.17% of
the articles, followed by India and Iran. In India, the state of Maharashtra
emerged as the leading contributor with 28.57% of the total publications. The
most productive author identified was A.N. Zainab, who had 19 contributions.
The study also indicated that out of the 202 articles, 47 were single-authored
and 155 were co-authored, suggesting that authors prefer to collaborate on
their research.(Brahma and Verma)
3.
Objectives
The objectives of the study of
Journal of Ravi Shankar University (Part B) can be stated as follows:
1.
To
analyze the publication trends of the journal by examining the number of
articles over a specific period.
2.
To
identify the most productive and influential authors and their contribution
towards the journal.
3.
To
assess the authorship pattern of the articles in JRSU journal.
4.
To
examine the level of collaboration among the authors contributing to Journal of
Ravishankar University.
5.
To
identify the Relative Growth Rate (RGR) and Doubling Time (DT) of the articles.
6.
To
assess the Annual Growth Rate (AGR) of the articles in JRSU journal.
4.
Methodology
Bibliometric
methods like citation analysis and co-authorship patterns were employed to
assess research trends and the impact of articles. These methods offered
insights into the most cited works and popular topics within the journal. The
study covers the articles published in Journal of Ravishankar University Part B
(Science) from 1988 to 2024. The data was obtained from the journal's website.
A total of 618 articles have been published across 48 issues and 37 volumes.
Data were collected, organized, and calculated using Microsoft Excel. Various
bibliometric statistical tools and techniques were utilized. The data were
analyzed and presented in tables and graphs.
5.
Data analysis and Interpretation
5.1.
Year-wise and Issue-wise analysis
Table
1 shows the number of articles published annually in a journal from 1988 to
2024, which totals 618 articles throughout 37 volumes. There were no
publications in the years 2008, 2009, 2011 and 2012. The majority of years had
one issue, although several later years, such as 2016 and 2022–2024, had
multiple issues. In 2016, a single issue published 262 articles, highlighting
significant growth. Since 2017, the number of publications has gradually
increased, with contributions ranging from 0.97% to 3.07%.
Table
1 Year-wise and Issue-wise analysis
|
S.
No
|
Year
|
Issue
|
Vol.
|
Publication
Date
|
No.
of Article
|
Cum.
Total
|
%
|
|
1
|
1988
|
1
|
1
|
01-Jul-88
|
17
|
17
|
2.75
|
|
2
|
1989
|
1
|
2
|
01-Jul-89
|
11
|
28
|
1.78
|
|
3
|
1990
|
1
|
3
|
01-Jul-90
|
10
|
38
|
1.62
|
|
4
|
1991
|
1
|
4
|
01-Jul-91
|
13
|
51
|
2.10
|
|
5
|
1992
|
1
|
5
|
01-Jul-92
|
8
|
59
|
1.29
|
|
6
|
1993
|
1
|
6
|
01-Jul-93
|
10
|
69
|
1.62
|
|
7
|
1994
|
1
|
7
|
01-Jul-94
|
9
|
78
|
1.46
|
|
8
|
1995
|
1
|
8
|
01-Jul-95
|
11
|
89
|
1.78
|
|
9
|
1996
|
1
|
9
|
01-Jul-96
|
13
|
102
|
2.10
|
|
10
|
1997
|
1
|
10
|
01-Jul-97
|
12
|
114
|
1.94
|
|
11
|
1998
|
1
|
11
|
01-Jul-98
|
4
|
118
|
0.65
|
|
12
|
1999
|
1
|
12
|
01-Jul-99
|
6
|
124
|
0.97
|
|
13
|
2000
|
1
|
13
|
01-Jul-00
|
9
|
133
|
1.46
|
|
14
|
2001
|
1
|
14
|
01-Jul-01
|
10
|
143
|
1.62
|
|
15
|
2002
|
1
|
15
|
01-Jul-02
|
4
|
147
|
0.65
|
|
16
|
2003
|
1
|
16
|
01-Jul-03
|
6
|
153
|
0.97
|
|
17
|
2004
|
1
|
17
|
01-Jul-04
|
8
|
161
|
1.29
|
|
18
|
2005
|
1
|
18
|
01-Jul-05
|
9
|
170
|
1.46
|
|
19
|
2006
|
1
|
19
|
01-Jul-06
|
9
|
179
|
1.46
|
|
20
|
2007
|
1
|
20
|
01-Jul-07
|
11
|
190
|
1.78
|
|
23
|
2010
|
1
|
21
|
01-Jul-10
|
3
|
193
|
0.49
|
|
1
|
22
|
02-Jul-10
|
3
|
196
|
0.49
|
|
1
|
23
|
03-Jul-10
|
4
|
200
|
0.65
|
|
26
|
2013
|
1
|
24
|
01-Jul-13
|
2
|
202
|
0.32
|
|
1
|
25
|
01-Jul-13
|
2
|
204
|
0.32
|
|
1
|
26
|
01-Jul-13
|
3
|
207
|
0.49
|
|
27
|
2014
|
1
|
27
|
01-Jul-14
|
14
|
221
|
2.27
|
|
28
|
2015
|
1
|
28
|
01-Jul-15
|
7
|
228
|
1.13
|
|
29
|
2016
|
1
|
29
|
01-Jul-16
|
262
|
490
|
42.39
|
|
2
|
4
|
494
|
0.65
|
|
3
|
3
|
497
|
0.49
|
|
30
|
2017
|
1
|
30
|
01-Jul-17
|
16
|
513
|
2.59
|
|
31
|
2018
|
1
|
31
|
01-Jul-18
|
6
|
519
|
0.97
|
|
32
|
2019
|
1
|
32
|
01-Jul-19
|
10
|
529
|
1.62
|
|
33
|
2020
|
1
|
33
|
01-Jul-20
|
9
|
538
|
1.46
|
|
34
|
2021
|
1
|
34
|
01-Jul-21
|
11
|
549
|
1.78
|
|
35
|
2022
|
1
|
35
|
01-Jul-22
|
10
|
559
|
1.62
|
|
2
|
30-Dec-22
|
7
|
566
|
1.13
|
|
36
|
2023
|
1
|
36
|
30-May-23
|
11
|
577
|
1.78
|
|
2
|
31-Dec-23
|
11
|
588
|
1.78
|
|
37
|
2024
|
1
|
37
|
05-May-24
|
11
|
599
|
1.78
|
|
2
|
29-Dec-24
|
19
|
618
|
3.07
|
|
|
TOTAL
|
48
|
|
|
618
|
|
100.00
|
Figure
1: Year-wise analysis
5.2.
Prolific authors wise distribution
The
table 2 displays the top 20 most prolific authors according to the number of
papers published. In terms of contributions, A K Bansal leads with 22 articles,
followed by Sanjay Tiwari and S K Jadhav with 16 articles each. There are
several authors with 14 articles published, including Mitashree Mitra,
Swarnlata Saraf, and A.K. Agarwal. The authors have a strong publishing record,
as demonstrated by the high number of articles they have published. The
distribution reveals a concentrated group of actively contributing researchers.
Table
2 Top 20 productive authors
|
S.
No.
|
Author
|
No.
of Articles
|
Rank
|
|
1
|
A.K. Bansal
|
22
|
1
|
|
2
|
Sanjay Tiwari
|
16
|
2
|
|
3
|
S K Jadhav
|
16
|
3
|
|
4
|
Mitashree Mitra
|
14
|
4
|
|
5
|
Swarnlata Saraf
|
14
|
5
|
|
6
|
A.K. Agarwal
|
14
|
6
|
|
7
|
Atanu Kumar Pati
|
13
|
7
|
|
8
|
Manas Kanti Deb
|
12
|
8
|
|
9
|
Kalpana Wani
|
10
|
9
|
|
10
|
Joyce Rai
|
10
|
10
|
|
11
|
Deepak Kumar Sahu
|
9
|
11
|
|
12
|
Ajay Kumar Sahu
|
9
|
12
|
|
13
|
Kallol K. Ghosh
|
9
|
13
|
|
14
|
Deependra Singh
|
8
|
14
|
|
15
|
Afaque Quraishi
|
8
|
15
|
|
16
|
S Keshavkant
|
8
|
16
|
|
17
|
Arti Parganiha
|
7
|
17
|
|
18
|
P.C. Mahajan
|
6
|
18
|
|
19
|
Amber Vyas
|
6
|
19
|
|
20
|
Rakesh Gupta
|
6
|
20
|
5.3.
Authorship pattern distribution
Table
3 depicts that 618 publications were published between 1988 to 2024 with one,
two, or three or more authors. There were 273 articles written by more than two
authors, 220 by two authors, and 125 by one author. There was a significant
increase in publication in 2016 (262 articles), dominated by collaborative
efforts (118 articles with more than two authors). Overall, scholarly output
shows a trend of increasing collaboration over time.
Table
3 Authorship pattern-wise distribution
|
Year
|
Vol
|
No.
of Author
|
No.
of Article
|
|
One
|
Two
|
More
than two
|
|
1988
|
1
|
4
|
8
|
5
|
17
|
|
1989
|
2
|
1
|
6
|
4
|
11
|
|
1990
|
3
|
3
|
5
|
2
|
10
|
|
1991
|
4
|
3
|
8
|
2
|
13
|
|
1992
|
5
|
2
|
3
|
3
|
8
|
|
1993
|
6
|
1
|
9
|
0
|
10
|
|
1994
|
7
|
3
|
5
|
1
|
9
|
|
1995
|
8
|
4
|
3
|
4
|
11
|
|
1996
|
9
|
5
|
5
|
3
|
13
|
|
1997
|
10
|
0
|
9
|
3
|
12
|
|
1998
|
11
|
0
|
2
|
2
|
4
|
|
1999
|
12
|
1
|
2
|
3
|
6
|
|
2000
|
13
|
1
|
5
|
3
|
9
|
|
2001
|
14
|
1
|
7
|
2
|
10
|
|
2002
|
15
|
1
|
1
|
2
|
4
|
|
2003
|
16
|
3
|
|
3
|
6
|
|
2004
|
17
|
2
|
3
|
3
|
8
|
|
2005
|
18
|
4
|
2
|
3
|
9
|
|
2006
|
19
|
1
|
7
|
1
|
9
|
|
2007
|
20
|
3
|
2
|
6
|
11
|
|
2010
|
21
|
1
|
2
|
0
|
3
|
|
22
|
0
|
1
|
2
|
3
|
|
23
|
0
|
0
|
4
|
4
|
|
2013
|
24
|
0
|
2
|
0
|
2
|
|
25
|
0
|
1
|
1
|
2
|
|
26
|
1
|
0
|
2
|
3
|
|
2014
|
27
|
0
|
8
|
6
|
14
|
|
2015
|
28
|
0
|
2
|
5
|
7
|
|
2016
|
29
|
64
|
80
|
118
|
262
|
|
0
|
1
|
3
|
4
|
|
0
|
1
|
2
|
3
|
|
2017
|
30
|
1
|
4
|
11
|
16
|
|
2018
|
31
|
0
|
0
|
6
|
6
|
|
2019
|
32
|
8
|
2
|
0
|
10
|
|
2020
|
33
|
0
|
1
|
8
|
9
|
|
2021
|
34
|
0
|
3
|
8
|
11
|
|
2022
|
35
|
0
|
3
|
7
|
10
|
|
1
|
2
|
4
|
7
|
|
2023
|
36
|
2
|
4
|
5
|
11
|
|
1
|
4
|
6
|
11
|
|
2024
|
37
|
1
|
2
|
8
|
11
|
|
2
|
5
|
12
|
19
|
|
TOTAL
|
125
|
220
|
273
|
618
|
5.4.
Degree of Collaboration
The
number of collaborative publications divided by the total number of papers
published within a specific time period is known as degree of collaboration.
The degree of collaboration formula (Subramanyam) can be expressed as follows:
DC
=
where,
DC is the degree of collaboration
NS is the number of single authored paper
NM is the number of multiple authored paper
Here,
DC =
= 0.79
Table
4 Degree of collaboration
|
Year
|
Vol
|
Single Author (NS)
|
Multiple
Author (NM)
|
NS+NM
|
DC
|
|
1988
|
1
|
4
|
13
|
17
|
0.76
|
|
1989
|
2
|
1
|
10
|
11
|
0.91
|
|
1990
|
3
|
3
|
7
|
10
|
0.70
|
|
1991
|
4
|
3
|
10
|
13
|
0.77
|
|
1992
|
5
|
2
|
6
|
8
|
0.75
|
|
1993
|
6
|
1
|
9
|
10
|
0.90
|
|
1994
|
7
|
3
|
6
|
9
|
0.67
|
|
1995
|
8
|
4
|
7
|
11
|
0.64
|
|
1996
|
9
|
5
|
8
|
13
|
0.62
|
|
1997
|
10
|
0
|
12
|
12
|
1.00
|
|
1998
|
11
|
0
|
4
|
4
|
1.00
|
|
1999
|
12
|
1
|
5
|
6
|
0.83
|
|
2000
|
13
|
1
|
8
|
9
|
0.89
|
|
2001
|
14
|
1
|
9
|
10
|
0.90
|
|
2002
|
15
|
1
|
3
|
4
|
0.75
|
|
2003
|
16
|
3
|
3
|
6
|
0.50
|
|
2004
|
17
|
2
|
6
|
8
|
0.75
|
|
2005
|
18
|
4
|
5
|
9
|
0.56
|
|
2006
|
19
|
1
|
8
|
9
|
0.89
|
|
2007
|
20
|
3
|
8
|
11
|
0.73
|
|
2010
|
21
|
1
|
2
|
3
|
0.67
|
|
22
|
0
|
3
|
3
|
1.00
|
|
23
|
0
|
4
|
4
|
1.00
|
|
2013
|
24
|
0
|
2
|
2
|
1.00
|
|
25
|
0
|
2
|
2
|
1.00
|
|
26
|
1
|
2
|
3
|
0.67
|
|
2014
|
27
|
0
|
14
|
14
|
1.00
|
|
2015
|
28
|
0
|
7
|
7
|
1.00
|
|
2016
|
29
|
64
|
198
|
262
|
0.76
|
|
0
|
4
|
4
|
1.00
|
|
0
|
3
|
3
|
1.00
|
|
2017
|
30
|
1
|
15
|
16
|
0.94
|
|
2018
|
31
|
0
|
6
|
6
|
1.00
|
|
2019
|
32
|
8
|
2
|
10
|
0.20
|
|
2020
|
33
|
0
|
9
|
9
|
1.00
|
|
2021
|
34
|
0
|
11
|
11
|
1.00
|
|
2022
|
35
|
0
|
10
|
10
|
1.00
|
|
1
|
6
|
7
|
0.86
|
|
2023
|
36
|
2
|
9
|
11
|
0.82
|
|
1
|
10
|
11
|
0.91
|
|
2024
|
37
|
1
|
10
|
11
|
0.91
|
|
2
|
17
|
19
|
0.89
|
|
TOTAL
|
125
|
493
|
618
|
0.84
|
The
table 4 indicates the degree of collaboration of articles from 1988 to 2024,
categorized by single and multi-authored contributions. There are 493
multi-authored articles compared with 125 single-authored titles, indicating a
strong preference for collaborative research. In the study, the mean value of
collaboration was 0.84, while some of the years showed a higher collaboration
value of 1.0. This study shows that multiple-authored papers predominate over
single-authored papers.
5.5.
Relative Growth Rate and Doubling Time of Publications
The
relative growth rate refers to the increase in the number of articles over a
specific unit of time, which is measured in years. To calculate a mean relative
growth rate, we can use the relative growth rates recorded over a defined time
period.
RGR
=
where, RGR is the
relative growth rate over a certain time frame.
W1
= log of number of articles in the beginning
W2
= log of the final number of articles
T2
– T1 = is the difference between initial and final time
A
direct correlation exists between doubling time and relative growth rate. It is
the logarithm of 2 that equals the difference between the logarithms of the
numbers at the beginning and the end of a period if the number of
publications/pages doubles. There is a 0.693 difference between the two values.(Muruganandham et
al.). By using an
equation, the doubling time of publications is calculated.
DT
=
Table
5 Relative Growth Rate and Doubling Time of Publications
|
Year
|
No.
of Article
|
Cum.
total
|
W1
|
W2
|
RGR
|
Mean
|
DT
|
Mean
|
|
1988
|
17
|
17
|
0.00
|
2.83
|
0
|
0.250
|
0
|
2.14
|
|
1989
|
11
|
28
|
2.83
|
3.33
|
0.50
|
1.38
|
|
1990
|
10
|
38
|
3.33
|
3.64
|
0.31
|
2.25
|
|
1991
|
13
|
51
|
3.64
|
3.93
|
0.29
|
2.37
|
|
1992
|
8
|
59
|
3.93
|
4.08
|
0.15
|
4.70
|
|
1993
|
10
|
69
|
4.08
|
4.23
|
0.15
|
0.132
|
4.50
|
5.29
|
|
1994
|
9
|
78
|
4.23
|
4.36
|
0.13
|
5.47
|
|
1995
|
11
|
89
|
4.36
|
4.49
|
0.13
|
5.39
|
|
1996
|
13
|
102
|
4.49
|
4.62
|
0.13
|
5.13
|
|
1997
|
12
|
114
|
4.62
|
4.74
|
0.12
|
5.96
|
|
1998
|
4
|
118
|
4.74
|
4.77
|
0.03
|
0.051
|
22.58
|
15.70
|
|
1999
|
6
|
124
|
4.77
|
4.82
|
0.05
|
13.78
|
|
2000
|
9
|
133
|
4.82
|
4.89
|
0.07
|
9.85
|
|
2001
|
10
|
143
|
4.89
|
4.96
|
0.07
|
9.51
|
|
2002
|
4
|
147
|
4.96
|
4.99
|
0.03
|
22.77
|
|
2003
|
6
|
153
|
4.99
|
5.03
|
0.04
|
0.050
|
17.14
|
13.96
|
|
2004
|
8
|
161
|
5.03
|
5.08
|
0.05
|
13.48
|
|
2005
|
9
|
170
|
5.08
|
5.14
|
0.06
|
12.42
|
|
2006
|
9
|
179
|
5.14
|
5.19
|
0.05
|
14.62
|
|
2007
|
11
|
190
|
5.19
|
5.25
|
0.06
|
12.15
|
|
2010
|
3
|
193
|
5.25
|
5.26
|
0.01
|
0.087
|
54.61
|
47.73
|
|
3
|
196
|
5.26
|
5.28
|
0.02
|
38.26
|
|
4
|
200
|
5.28
|
5.30
|
0.02
|
37.83
|
|
2013
|
2
|
202
|
5.30
|
5.31
|
0.01
|
83.82
|
|
2
|
204
|
5.31
|
5.32
|
0.01
|
85.34
|
|
3
|
207
|
5.32
|
5.33
|
0.01
|
54.49
|
|
2014
|
14
|
221
|
5.33
|
5.40
|
0.07
|
10.17
|
|
2015
|
7
|
228
|
5.40
|
5.43
|
0.03
|
23.62
|
|
2016
|
262
|
490
|
5.43
|
6.19
|
0.76
|
0.91
|
|
4
|
494
|
6.19
|
6.20
|
0.01
|
55.28
|
|
3
|
497
|
6.20
|
6.21
|
0.01
|
80.67
|
|
2017
|
16
|
513
|
6.21
|
6.24
|
0.03
|
0.02
|
22.89
|
38.24
|
|
2018
|
6
|
519
|
6.24
|
6.25
|
0.01
|
58.22
|
|
2019
|
10
|
529
|
6.25
|
6.27
|
0.02
|
33.02
|
|
2020
|
9
|
538
|
6.27
|
6.29
|
0.02
|
38.80
|
|
2021
|
11
|
549
|
6.29
|
6.31
|
0.02
|
38.29
|
|
2022
|
10
|
559
|
6.31
|
6.33
|
0.02
|
0.02
|
42.91
|
45.90
|
|
7
|
566
|
6.33
|
6.34
|
0.01
|
80.64
|
|
2023
|
11
|
577
|
6.34
|
6.36
|
0.02
|
38.84
|
|
11
|
588
|
6.36
|
6.38
|
0.02
|
41.43
|
|
2024
|
11
|
599
|
6.38
|
6.40
|
0.02
|
45.41
|
|
19
|
618
|
6.40
|
6.43
|
0.03
|
26.16
|
|
TOTAL
|
618
|
|
|
|
|
|
|
|
Table
5 presents the relative growth rate and doubling time of publications of
Journal of Ravishankar University Part-B for the study period. The maximum
relative growth rate (RGR) was 0.76 in 2016, followed by 0.50 in 1989. In
contrast, the lowest RGR values were recorded in the years 1998, 1999, 2000,
2001, and 2002, with values of 0.01, 0.02, and 0.03. The first five-year mean value
of RGR is 0.250, which is higher than the values recorded in subsequent years.
The
maximum doubling time (DT) was 85.34 in 2013 for issue number 2, followed by
83.82 in 2013 for issue number 1, and 80.4 in 2022. The lowest DT was reported
in 2016, with a value of 0.91. The study period showed variations in both
relative growth rates and doubling time.
Figure 2: Relative
growth rate (RGR) and Doubling time (DT) of publications
5.6.
Annual Growth Rate of Publications
The
annual growth rate (AGR) of literature is the ratio of net growth rates between
successive years.(Sahu and Jena). The formula for calculating the
Annual Growth Rate (AGR) is as follows:
AGR
=
x 100
Table
6 Annual growth rate of publications
|
Year
|
No.
of Article
|
Cum.
total
|
Annual
Growth Rate
|
|
1988
|
17
|
17
|
0
|
|
1989
|
11
|
28
|
64.71
|
|
1990
|
10
|
38
|
35.71
|
|
1991
|
13
|
51
|
34.21
|
|
1992
|
8
|
59
|
15.69
|
|
1993
|
10
|
69
|
16.95
|
|
1994
|
9
|
78
|
13.04
|
|
1995
|
11
|
89
|
14.10
|
|
1996
|
13
|
102
|
14.61
|
|
1997
|
12
|
114
|
11.76
|
|
1998
|
4
|
118
|
3.51
|
|
1999
|
6
|
124
|
5.08
|
|
2000
|
9
|
133
|
7.26
|
|
2001
|
10
|
143
|
7.52
|
|
2002
|
4
|
147
|
2.80
|
|
2003
|
6
|
153
|
4.08
|
|
2004
|
8
|
161
|
5.23
|
|
2005
|
9
|
170
|
5.59
|
|
2006
|
9
|
179
|
5.29
|
|
2007
|
11
|
190
|
6.15
|
|
2010
|
3
|
193
|
1.58
|
|
3
|
196
|
1.55
|
|
4
|
200
|
2.04
|
|
2013
|
2
|
202
|
1.00
|
|
2
|
204
|
0.99
|
|
3
|
207
|
1.47
|
|
2014
|
14
|
221
|
6.76
|
|
2015
|
7
|
228
|
3.17
|
|
2016
|
262
|
490
|
114.91
|
|
4
|
494
|
0.82
|
|
3
|
497
|
0.61
|
|
2017
|
16
|
513
|
3.22
|
|
2018
|
6
|
519
|
1.17
|
|
2019
|
10
|
529
|
1.93
|
|
2020
|
9
|
538
|
1.70
|
|
2021
|
11
|
549
|
2.04
|
|
2022
|
10
|
559
|
1.82
|
|
7
|
566
|
1.25
|
|
2023
|
11
|
577
|
1.94
|
|
11
|
588
|
1.91
|
|
2024
|
11
|
599
|
1.87
|
|
19
|
618
|
3.17
|
|
TOTAL
|
618
|
|
|
Table 6
illustrates the annual growth rate and the number of research papers published
from 1988 to 2024. In the beginning, there were significant increases, with a prominent
rise of 64.71 in 1989 and a major peak of 114.91 in 2016. The rate of growth
was relatively high during 1989-1991; since then, it has stabilized at a low
level. This indicates that the research activity has undergone different
phases, transitioning from rapid expansion to more stable publication trends
over the years.
Figure
3: Annual Growth Rate (AGR) of publications
6.
Findings
The
major findings of the study are as follows:
1.
The
study found that JRU published 618 articles from 1988 to 2024. Over time, the
number of articles published in the journal has increased steadily.
2.
The
highest number of publications occurred in 2016, with 262 articles.
3.
A
K Bansal, Sanjay Tiwari, and S K Jadhav had the most publications, 23 articles,
16 articles, and 16 articles, respectively.
4.
The
authors' productivity analysis indicates that there are 493 publications with
multiple authors and 125 publications with a single author. This indicates that
multi-author papers are predominant than single-author papers.
5.
The
highest degree of collaboration was 1.0 during the years from 1988 to 2024,
with a mean degree of collaboration of 0.84.
6.
The
maximum relative growth rate (RGR) was 0.76 in 2016, followed by 0.50 in 1989. The
maximum doubling time (DT) was 85.34 in 2013 for issue number 2, followed by
83.82 in 2013 for issue number 1, and 80.4 in 2022.
7.
Overall,
the annual growth rate was significant increases, with
a rise of 64.71 in 1989 and a maximum of 114.91 in 2016. The rate of growth
was relatively high during 1989-1991; since then, it has stabilized at a low
level.
7. Conclusion
Bibliometric
analysis provides a comprehensive insight into the publication trends research
areas and author collaborations of the JRU. The analysis indicates that the
journal has a critical role in disseminating research in various academic
fields. However, the study also reveals several limitations of the journal
including low international collaboration and low citation impact. The findings
of this study could help the journal editors and authors to identify areas for
improvement and enhance the visibility of the journal. The bibliometric study
of the JSRU journal provides insights into scholarly communication in the
humanities and social sciences, and how the journal promotes research.