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Impact Factor

Measuring Your Impact - how it will be calculated? Some basic help with Impact Factor, Citation Analysis and other Metrics...

Bibliometrics is statistical analysis of written publications, such as books or articles. Bibliometrics methods are frequently used in the field of library and information science, including Scientometrics. For instance, bibliometrics are used to provide quantitative analysis of academic literature or for evaluating budgetary spending.

Citation analysis is a commonly used bibliometric method which is based on constructing the citation graph, a network or graph representation of the citations between documents.
Many research fields use bibliometric methods to explore the impact of their field, the impact of a set of researchers, the impact of a particular paper, or to identify particularly impactful papers within a specific field of research.
OVERVIEW: The term Bibliométrie was first used by Paul Otlet in 1934 and defined as "the measurement of all aspects related to the publication and reading of books and documents" The English version of this term bibliometrics was first used by Alan Pritchard in a paper published in 1969, titled Statistical Bibliography or Bibliometrics? He defined the term as "the application of mathematics and statistical methods to books and other media of communication". Bibliometrics also has a wide range of other applications, such as in descriptive linguistics, the development of thesauri, and evaluation of reader usage.
OVERVIEW: Citation analysis has a long history, the Science Citation Index began publication in 1961 and Derek J. de Solla Price discussed the citation graph describing the network of citations in his 1965 article "Networks of Scientific Papers". However, this was done initially manually until large scale electronic databases and associated computer algorithms were able to cope with the vast numbers of documents in most bibliometric collections.
The first such algorithm for automated citation extraction and indexing was by CiteSeer.

Citing & Ranking

Journal ranking is widely used in academic circles in the evaluation of an academic journal's impact and quality. Journal rankings are intended to reflect the place of a journal within its field, the relative difficulty of being published in that journal, and the prestige associated with it. They have been introduced as official research evaluation tools in several countries. Consequently, several journal-level metrics have been proposed, most citation-based:

Impact factor – Reflecting the average number of citations to articles published in science and social science journals.
Eigenfactor – A rating of the total importance of a scientific journal according to the number of incoming citations;
SCImago Journal Rank (SJR) – A measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from;
h-index – The h-index (Hirsch index) is defined as the maximum value of h such that the given author/journal has published h papers that have each been cited at least h times;
Publication power approach (PPA) – The ranking position of each journal is based on the actual publishing behavior of leading tenured academics over an extended time period;
Altmetrics – Rate journals based on scholarly references added to academic social media sites. .
diamScore) – A measure of scientific influence of academic journals based on recursive citation weighting and the pairwise comparisons between journals.
Expert survey – A score reflecting the overall quality or contribution of a journal is based on the results of the survey of active field researchers, practitioners and students (i.e., actual journal contributors or readers), who rank each journal based on specific criteria;
h5-index – This metric, calculated and released by Google Scholar, is based on the h-index of all articles published in a given journal in the last five years.
Source Normalized Impact per Paper (SNIP) – a factor released in 2012 by Elsevier based on Scopus to estimate impact.
The measure is calculated as:
   where RIP=raw impact per paper,
   R = citation potential and
   M = median database citation potential.

PageRank – In 1976 a recursive impact factor that gives citations from journals with high impact greater weight than citations from low-impact journals was proposed. Such a recursive impact factor resembles Google's PageRank algorithm, though the original Pinski and Narin paper uses a "trade balance" approach in which journals score highest when they are often cited but rarely cite other journals. Several scholars have proposed related approaches. In 2006, Johan Bollen, Marko A. Rodriguez, and Herbert Van de Sompel also proposed replacing impact factors with the PageRank algorithm. The Eigenfactor is another PageRank-type measure of journal influence, with rankings freely available online, along with SCImago;

JRank – JournalsRanking (JRank) is the digital portal developed by iMaQ Technologies Pvt. Ltd in 2015 containing list of all international journals indexed in ISI-JCR and Scopus-SJR based on the current impact factor (IF) and Quartiles (Q) given by Thomson Reuters and Scopus, respectively. The JRank also gives detailed information about the journal such as country of journal publishing, impact factor history, frequency of journal publishing, active web link etc.

All lists of journals based on subjects can also be viewed using JRank portal;


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