5.266 31.32%

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Nonlinear Analysis: Hybrid Systems - Impact Factor

The Impact Factor 2018 of Nonlinear Analysis: Hybrid Systems is 5.266, which is just updated in 2019. Compared with historical Impact Factor data, the Impact Factor 2018 of Nonlinear Analysis: Hybrid Systems grew by 31.32% . The Impact Factor Quartile of Nonlinear Analysis: Hybrid Systems is Q1. The Impact Factor (IF) or Journal Impact Factor (JIF) of an academic journal is a scientometric index that reflects the yearly average number of citations that recent articles published in a given journal received. It is frequently used as a proxy for the relative importance of a journal within its field; journals with higher impact factors are often deemed to be more important than those with lower ones. The Impact Factor measures the average number of citations received in a particular year (2018) by papers published in the journal during the two preceding years (2016-2017). Note that 2018 impact factors are reported in 2019; they cannot be calculated until all of the 2018 publications have been processed by the indexing agency. Besides, 88% scientific research articles published by Nonlinear Analysis: Hybrid Systems have received at least 1 citation in 2018. In addition to the 2-year Impact Factor, the 3-year Impact Factor and 5-year Impact Factor can provide further insights into the impact of Nonlinear Analysis: Hybrid Systems.

 Impact Factor 2018-19


Nonlinear Analysis: Hybrid Systems - Impact Factor Trend Prediction System

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

Nonlinear Analysis: Hybrid Systems Impact Factor Trend Forecasting System
 Real-Time Impact Factor Prediction & 2017 2018 2019 IF Impact Factor Trend - Academic Accelerator
Nonlinear Analysis: Hybrid Systems Impact Factor Trend. The chart clearly shows an uptrend of Impact Factor in 2018.
  • Impact Factor 2017 4.010
  • Impact Factor 2016 3.963
  • Impact Factor 2015 3.192

86


  • Article Volume 2017 74
  • Article Volume 2016 54
  • Article Volume 2015 43
  • ISSN
  • 1751570X
  • Open Access
  • Publisher
  • Elsevier BV
  • Country/Region
  • Netherlands
  • History
  • Categories
  • Analysis (Q1), Computer Science Applications (Q1), Control and Systems Engineering (Q1)

Nonlinear Analysis: Hybrid Systems - ISSN

The ISSN of Nonlinear Analysis: Hybrid Systems is 1751570X. 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.

Nonlinear Analysis: Hybrid Systems - ISSN

Nonlinear Analysis: Hybrid Systems - Subscription (non-OA) Journal

Nonlinear Analysis: Hybrid Systems 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.

Nonlinear Analysis: Hybrid Systems - Open Access

Nonlinear Analysis: Hybrid Systems - Publisher

Nonlinear Analysis: Hybrid Systems is published by Elsevier BV, which is located in the Netherlands. The Publication History of Nonlinear Analysis: Hybrid Systems covers 2007-ongoing.

Nonlinear Analysis: Hybrid Systems - Publisher

Nonlinear Analysis: Hybrid Systems - Categories

Nonlinear Analysis: Hybrid Systems is a peer-reviewed scientific journal. The scope of Nonlinear Analysis: Hybrid Systems covers Analysis (Q1), Computer Science Applications (Q1), Control and Systems Engineering (Q1).

Nonlinear Analysis: Hybrid Systems - Categories

Nonlinear Analysis: Hybrid Systems - Journal Metrics

It is impossible to get a true picture of impact using a single metric alone, so a basket of metrics is needed to support informed decisions. In addition to Abbreviation, Acceptance Rate, Review Speed, Research Hotspot and Template, several advanced Journal Metrics 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 Nonlinear Analysis: Hybrid Systems.

Nonlinear Analysis: Hybrid Systems - Journal Metrics

Journal Ranking