What is the impact factor of Machine Learning and Knowledge Extraction?

3.1. The 2022 impact factor of Machine Learning and Knowledge Extraction is 3.1. By the impact factor, Machine Learning and Knowledge Extraction falls within the top 5% of scholarly journals.

Machine Learning and Knowledge Extraction Top...

3.1(top 5%)

Impact Factor

3.7(top 5%)

extended IF

17(top 19%)

H-Index

199

authors

167

papers

1.2K

citations

307

citing journals

808

citing authors

Institutions

Institution	Articles	Citations	A Rank	C Rank
University of Tampere	8	89	255	255
University of New Orleans	4	11	255	255
Tampere University of Technology	4	36	255	255
Naples Eastern University	3	11	1	11
MDPI	3		157	163
Tokyo Metropolitan University	2		255	255
Edinburgh Napier University	2	11	255	255
University of Texas at Dallas	2	28	255	255
University of Regina	2	12	255	255
Okayama University of Science	2		255	255
Iwate Prefectural University	2	5	66	117
Universidad ORT Uruguay	2	3	13	86
Jožef Stefan Institute	2	9	255	255
International Hellenic University	2	4	88	255
University Džemal Bijedić of Mostar	2		255	255
Texas A&M University	2	29	255	255
University of Central Florida	2	2	255	255
Cranfield University	2	5	255	255
University of St Andrews	2	1	255	255
Technische Universität Darmstadt	2		255	255

A Rank refers to the ranking of Machine Learning and Knowledge Extraction in the given institution according to the number of articles, and C Rank according to the number of citations.

How are inpact factors calculated?

The impact factor (IF) is calculated by counting citations from peer-reviewed journals only.

extended IF also counts citations from books and conference papers. However, no patent, abstract, working papers, online documents, etc., are covered.

Scientometrics

Overviews

Machine Learning and Knowledge Extraction

Software Engineering

Institutions