Authors' Information

Description

It finds top author names and their different performance indicators

Usage

author_info(authors, citations, sep, top = 10, only_first_author = F)

Arguments

Value

A list consisting of author names, total instances, total citations, h index, g index, i10 index, max citation

See Also

g index h index

Examples

authors<-c("Wolf W.R., Lele S.K.",
"Shin D., Yeh X., Khatib O.",
"Aukes D., Heyneman B., Duchaine V., Cutkosky M.R.")
author_info(authors,c(3,4,1),',')

Co-authorship Matrix and Average co-authorship

Description

It finds year-wise co-authorship matrix and average co-authorship values

Usage

authorship_pattern(authors, pub_years, sep)

Arguments

Value

A list with co-authorship matrix and average co-authorship values

Examples

authors<-c("Wolf W.R., Lele S.K.",
"Shin D., Yeh X., Khatib O.",
"Aukes D., Heyneman B., Duchaine V., Cutkosky M.R.")
years<-c(2011,2012,2012)
authorship_pattern(authors,years,',')

Citations and Cited Instances

Description

Citations and Cited Instances

Usage

citation_info(citations, pub_years)

Arguments

Value

return year-wise total instances (tp), cited instances and total citations (tc)

Examples

citation_info(c(1,3,0,4,2,3,1,0),c(2012,2012,2012,2013,2012,2011,2014,2014))

Country Instances

Description

Country-wise and year-wise output for a defined period.

Usage

country_pattern(affiliations, pub_years = NULL, countries = NULL,
  only_first_author = F)

Arguments

Details

The function returns year and country-wise output matrix if the publication years are provided. If only affliation data is provided the country-wise output is returned as a single vector instead of a matrix.

Value

A list containing country output and other details.

Examples

affiliations<-c("Stanford University, Stanford, CA, United States; Montreal, QC, Canada",
"Stanford University, United States; Google Inc., United States",
"University of Michigan, Ann Arbor, MI 48109-2122, United States;
Tsinghua University, Beijing 100084, China",
"Imperial College London, London, SW7 2BZ, United Kingdom;
ENSTA, Ecole Polytechnique, Palaiseau, 91761, France")

pub_years<-c(2012,2012,2013,2014)

country_pattern( affiliations, pub_years)
country_pattern(affiliations)

g index

Description

g index

Usage

g_index(citations)

Arguments

Value

return the g index for the given citations

See Also

h index

Examples

g_index(c(1,2,5,0,3,11))

h index

Description

Find h index for a given set of documents

Usage

h_index(citations)

Arguments

Value

return the h index for the given citations

References

Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National academy of Sciences of the United States of America, 102(46), 16569-16572.

See Also

g_index

Examples

h_index(c(1,2,5,0,3,11))

Highly Cited Instances

Description

It finds the number of highly cited instances year-wise.

Usage

highly_cited(citations, pub_years, ref_citations = NULL,
  ref_pub_years = NULL, top = NULL, year_lim = list())

Arguments

Value

Returns a list containing number of top highly cited instances with other details

Examples

citations<-c(2,0,12,3,1,1,4,5,8,2)
pub_years<-c(2011,2011,2012,2011,2013,2011,2011,2012,2011,2013)
ref_citations<-c(3,0,12,3,1,1,41,5,8,2,2,0,12,30,1,1,4,5,8,12)
ref_pub_years<-c(2012,2011,2012,2013,2013,2011,2011,2012,
2011,2013,2011,2011,2012,2011,2013,2011,2011,2012,2011,2013)
highly_cited(citations,pub_years,ref_citations,ref_pub_years,10)
highly_cited(citations,pub_years,year_lim = list(c(2011, 2012, 2013), c(41, 12, 12)))

International Collaboration

Description

Calculate the number of Internationally Collaborated Papers

Usage

international_col(affiliations, pub_years = NULL, countries = NULL)

Arguments

Details

It finds if there is any International Collaboration so affiliation fields must have country information

Value

Collaboration count or a list (collaboration counts year-wise)

Examples

affiliations<-c("Stanford University, Stanford, CA, United States; Montreal, QC, Canada",
"Stanford University, United States; Google Inc., United States",
"University of Michigan, Ann Arbor, MI 48109-2122, United States;
Tsinghua University, Beijing 100084, China",
"Imperial College London, London, SW7 2BZ, United Kingdom;
ENSTA, Ecole Polytechnique, Palaiseau, 91761, France")

pub_years<-c(2012,2012,2013,2014)

international_col( affiliations, pub_years)
international_col(affiliations)

International Collaboration Matrix

Description

Calculate Internationally Collaborated Matrix(es)

Usage

international_colmat(affiliations, pub_years = NULL, countries = NULL)

Arguments

Details

It finds the collaboration network at internationla level in terms of adjacent matrix so affiliation fields must have country information

Value

Collaboration adjacent matrix(es)

Examples

affiliations<-c("Stanford University, Stanford, CA, United States; Montreal, QC, Canada",
"Stanford University, United States; Google Inc., United States",
"University of Michigan, Ann Arbor, MI 48109-2122, United States;
Tsinghua University, Beijing 100084, China",
"Imperial College London, London, SW7 2BZ, United Kingdom;
ENSTA, Ecole Polytechnique, Palaiseau, 91761, France")

pub_years<-c(2012,2012,2013,2014)

international_colmat( affiliations, pub_years)
international_colmat(affiliations)

Term Frequency

Description

Term Frequency

Usage

term_freq(text, pub_years = NULL, sep = NULL, top = NULL)

Arguments

Value

Term frequencey vector or matrix (for year-wise)