7.260 78.82%

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Artificial Intelligence Review - Journal Impact

The Journal Impact 2019-2020 of Artificial Intelligence Review is 7.260, which is just updated in 2020. Compared with historical Journal Impact data, the Metric 2019 of Artificial Intelligence Review grew by 78.82% . The Journal Impact Quartile of Artificial Intelligence Review is Q1. The Journal Impact of an academic journal is a scientometric Metric that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a Metric for the relative importance of a journal within its field; journals with higher Journal Impact are often deemed to be more important than those with lower ones. The Journal Impact measures the average number of citations received in a particular year (2019) by papers published in the journal during the two preceding years (2017-2018). Note that 2019 Journal Impact are reported in 2020; they cannot be calculated until all of the 2019 publications have been processed by the indexing agency. In addition to the 2-year Journal Impact, the 3-year Journal Impact can provide further insights and factors into the impact of Artificial Intelligence Review.


Artificial Intelligence Review Real-Time Journal Impact/Jouranl Metric Prediction & Tracking, 2020 2019 2018 2017 2016 2015 Journal Impact | Metric Trend & History - Academic Accelerator


Artificial Intelligence Review - Journal Impact Prediction System

Journal Impact Prediction System provides an open, transparent, and straightforward platform to help academic researchers Predict future Metric and performance through the wisdom of crowds. Journal Impact Prediction System displays the exact community-driven Metric without secret algorithms, hidden factors, or systematic delay.

Artificial Intelligence Review Journal Impact Prediction System - Metric and Trend
  • Article Volume 2017 70
  • Article Volume 2016 187
  • Article Volume 2015 136
  • ISSN
  • 02692821, 15737462
  • Open Access
  • Publisher
  • Kluwer Academic Publishers
  • Country/Region
  • Netherlands
  • History
  • Categories
  • Artificial Intelligence (Q1), Language and Linguistics (Q1), Linguistics and Language (Q1)

Artificial Intelligence Review - ISSN

The ISSN of Artificial Intelligence Review is 02692821, 15737462. An ISSN is an 8-digit code used to identify newspapers, journals, magazines and periodicals of all kinds and on all media–print and electronic.

Artificial Intelligence Review - ISSN

Artificial Intelligence Review - Subscription (non-OA) Journal

Artificial Intelligence Review is a Subscription-based (non-OA) Journal. Publishers own the rights to the articles in their journals. Anyone who wants to read the articles should pay by individual or institution to access the articles. Anyone who wants to use the articles in any way must obtain permission from the publishers.

Artificial Intelligence Review - Open Access

Artificial Intelligence Review - Publisher

Artificial Intelligence Review is published by Kluwer Academic Publishers, which is located in the Netherlands. The Publication History of Artificial Intelligence Review covers 1986-ongoing.

Artificial Intelligence Review - Publisher

Artificial Intelligence Review - Categories

Artificial Intelligence Review is a peer-reviewed scientific journal. The scope of Artificial Intelligence Review covers Artificial Intelligence (Q1), Language and Linguistics (Q1), Linguistics and Language (Q1).

Artificial Intelligence Review - Categories

Artificial Intelligence Review - Journal Factors

It is impossible to get a true picture of impact using a single Metric alone, so a basket of factors is needed to support informed decisions. In addition to Abbreviation, Acceptance Rate, Review Speed, Research Hotspot and Template, several advanced Journal Factors including Citescore, H-Index, Self-Citation Ratio, SJR (SCImago Journal Rank Indicator) and SNIP (Source Normalized Impact per Paper) can provide you comprehensive insights into the Artificial Intelligence Review.

Artificial Intelligence Review - Journal Metric