Journal Impact Factor (JIF)

A metric calculated annually by Clarivate Analytics (formerly Thomson Reuters), representing the average number of citations received per paper published in a particular journal during a specific timeframe, usually within the last two years.

 

Citation

A reference to a published or unpublished source in a scholarly work, typically included in the bibliography or footnotes.

 

Citation Count

The total number of times a publication has been cited by other works, indicating its influence and significance within the academic community.

 

Peer Review

The evaluation process where experts in a particular field assess the quality, validity, and originality of a scholarly work before it is published in a journal.

 

Journal Ranking

The hierarchical positioning of journals based on various metrics such as impact factor, citation count, and publication frequency.

 

Eigenfactor Score

A measure of a journal’s total importance based on the number of times articles from the journal published in the past five years have been cited in the JCR year, with citations from highly ranked journals weighted to make a larger contribution to the score than those from lesser-ranked journals.

 

Journal Quartile

The division of journals into four equal parts based on their Impact Factor rankings, with quartile 1 being the highest impact journals and quartile 4 being the lowest.

 

H-index

A metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the researcher’s most cited papers and the number of citations that they have received in other publications.

 

Citation Frequency Distribution

A graphical representation showing how often different citation counts occur in a given set of publications, often used to assess the impact of journals or individual articles.

 

Journal Self-Citation

The practice of a journal citing its own articles in subsequent issues, which can artificially inflate its impact factor and raise concerns about bias or manipulation.