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Research Journal Impact Factor: A Complete Guide And Benchmarking

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Research Journal Impact factor: A Complete Guide and Benchmarking

The research journal impact factor is easy to find, but understanding those numbers is quite another matter. Here is a guide for that. Have you ever had difficulty choosing the most appropriate journal for your paper? The selection of the most relevant journal to target can be overwhelming for any researcher looking to publish an article. It doesn’t have to be.

Research is increasingly grounded on the basis of certain metrics. A journal’s matrices provide important information about its impact and relevance in its many fields of research – if not all of them. As the number of sources of information has increased, finding the most effective ways to reach your target audience is becoming more key.

To be sure that your choice of journal is the best, browse its metrics before selecting one. Metrics will surely help you decide on which journal to use. The Journal Impact Factor, for example, will give you an indication of which journal to submit to.

The number of impact factors a journal has is easy to find, but actually understanding those numbers is quite another matter. The following is a guide that makes journal impact factor simple to understand. Among other things, we will discuss what it is and also list the journals and their impact factors to help your decision.

What is research journal impact factor?

An impact factor (IF) is an indicator of how frequently a particular article in a journal is cited during a given year. Annually, Clarivate Analytics offers Web of Science Journal Citation Reports which include Journal Impact Factors.

Impact Factors are only allocated to journals that are included in the Science Citation Index Expanded (SCIE) and the Social Sciences Citation Index (SSCI).

Research Journal Impact Factor enables users to assess and categorize academic journals for quality and excellence using quantitative and qualitative techniques.

Research journals with high-impact factors tend to be more well-regarded. Eugene Garfield, the founder of the Institute for Scientific Information, first introduced this concept.