Note: The impact score shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.
|Title||Knowledge Engineering Review|
|Abbreviation||Knowl. Eng. Rev.|
|Subject Area, Categories, Scope||Artificial Intelligence (Q2); Software (Q2)|
|SCImago Journal Rank (SJR)||0.681|
|Publisher||Cambridge University Press|
Knowledge Engineering Review is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q2); Software (Q2). It is published by Cambridge University Press. The overall rank of Knowledge Engineering Review is 7113. According to SCImago Journal Rank (SJR), this journal is ranked 0.681. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). This journal has an h-index of 64. The best quartile for this journal is Q2.
The ISSN of Knowledge Engineering Review journal is 14698005, 02698889. An International Standard Serial Number (ISSN) is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. Knowledge Engineering Review is cited by a total of 186 articles during the last 3 years (Preceding 2021).
The impact score (IS) 2021 of Knowledge Engineering Review is 2.39, which is computed in 2022 as per its definition. Knowledge Engineering Review IS is decreased by a factor of 1.44 and approximate percentage change is -37.6% when compared to preceding year 2020, which shows a falling trend. The impact score (IS), also denoted as Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.
IS 2021 of Knowledge Engineering Review is 2.39. If the same downward trend persists, impact score may fall in 2022 as well.
|Year||Impact Score (IS)|
Knowledge Engineering Review has an h-index of 64. It means 64 articles of this journal have more than 64 number of citations. The h-index is a way of measuring the productivity and citation impact of the publications. The h-index is defined as the maximum value of h such that the given journal/author has published h papers that have each been cited at least h number of times.
The ISSN of Knowledge Engineering Review is 14698005, 02698889. ISSN stands for International Standard Serial Number.
An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic.
The overall rank of Knowledge Engineering Review is 7113. According to SCImago Journal Rank (SJR), this journal is ranked 0.681. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.
Knowledge Engineering Review is published by Cambridge University Press. It's publishing house is located in United Kingdom. Coverage history of this journal is as following: 1984, 1987-2021. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.
Visit the official website of the journal/conference to check the further details about the call for papers.
The IS0 4 standard abbreviation of Knowledge Engineering Review is Knowl. Eng. Rev.. This abbreviation ('Knowl. Eng. Rev.') is well recommended and approved for the purpose of indexing, abstraction, referencing and citing goals. It meets all the essential criteria of ISO 4 standard.
ISO 4 (International Organization for Standardization 4) is an international standard that defines a uniform and consistent system for abbreviating serial publication titles and journals.
If your research field is/are related to Artificial Intelligence (Q2); Software (Q2), then please visit the official website of this journal.
The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.
It is essential to understand that the acceptance rate/rejection rate of papers varies among journals. Some Journals considers all the manuscripts submissions as a basis of acceptance rate computation. On the other hand, few consider the only manuscripts sent for peer review or few even not bother about the accurate maintenance of total submissions. Hence, it can provide a rough estimation only.
The best way to find out the acceptance rate is to reach out to the associated editor or to check the official website of the Journal/Conference.
|Journal/Conference/Workshop/Book Title||Type||Ranking||Publisher||h-index||Impact Score|
|Frontiers in Clinical Drug Research - HIV||book series||27029||Bentham Science Publishers B.V.||0||0.00|
|European Journal of Marketing||journal||2129||Emerald Group Publishing Ltd.||110||5.70|
|Studia Theologica||journal||21789||Taylor and Francis Ltd.||4||0.08|
|Journal of Skyscape Archaeology||journal||24168||Equinox Publishing Ltd||1||0.12|
|Journal of Systems and Software||journal||2308||Elsevier Inc.||113||4.48|
|Epidemiology||journal||2729||Lippincott Williams and Wilkins Ltd.||181||2.35|
|Emerging Materials Research||journal||14896||ICE Publishing||11||1.67|
|Foreign Language Annals||journal||1995||Wiley-Blackwell||54||2.70|
|Preternature||journal||24329||Penn State University Press||3||0.05|
|Big Data and Cognitive Computing||journal||5460||MDPI AG||18||3.90|
|Year||Impact Score (IS)|