4.194

  • ISSN
  • 15214117, 09340866
  • Open Access
  • Publisher
  • John Wiley & Sons Ltd.
  • Country/Region
  • United Kingdom
  • History
  • Categories
  • Chemistry (miscellaneous) (Q1), Condensed Matter Physics (Q1), Materials Science (miscellaneous) (Q1)

Particle and Particle Systems Characterization - ISSN

The ISSN of Particle and Particle Systems Characterization is 15214117, 09340866. 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.

Particle and Particle Systems Characterization - ISSN

Particle and Particle Systems Characterization - Subscription (non-OA) Journal

Particle and Particle Systems Characterization 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.

Particle and Particle Systems Characterization - Open Access

Particle and Particle Systems Characterization - Publisher

Particle and Particle Systems Characterization is published by John Wiley & Sons Ltd., which is located in the United Kingdom. The Publication History of Particle and Particle Systems Characterization covers 1984-ongoing.

Particle and Particle Systems Characterization - Publisher

Particle and Particle Systems Characterization - Categories

Particle and Particle Systems Characterization is a peer-reviewed scientific journal. The scope of Particle and Particle Systems Characterization covers Chemistry (miscellaneous) (Q1), Condensed Matter Physics (Q1), Materials Science (miscellaneous) (Q1).

Particle and Particle Systems Characterization - Categories

Particle and Particle Systems Characterization - 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 Particle and Particle Systems Characterization.

Particle and Particle Systems Characterization - Journal Metrics

Impact Factor 2018

Updated in 2019

4.194 4.33%

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Particle and Particle Systems Characterization - Impact Factor

The Impact Factor 2018 of Particle and Particle Systems Characterization is 4.194, which is just updated in 2019. Compared with historical Impact Factor, the Impact Factor 2018 of Particle and Particle Systems Characterization dropped by 4.33% . The Impact Factor Quartile of Particle and Particle Systems Characterization 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, 83% scientific research articles published by Particle and Particle Systems Characterization 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 Particle and Particle Systems Characterization.

 Impact Factor 2018-19


Particle and Particle Systems Characterization - 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.

Particle and Particle Systems Characterization Impact Factor Trend Forecasting System
 Real-Time Impact Factor Prediction & 2017 2018 2019 IF Impact Factor Trend - Academic Accelerator
Particle and Particle Systems Characterization Impact Factor Trend. The chart clearly shows a downtrend of Impact Factor in 2018.
  • Impact Factor 2017 4.384
  • Impact Factor 2016 4.474
  • Impact Factor 2015 4.367

171


  • Article Volume 2017 123
  • Article Volume 2016 99
  • Article Volume 2015 116

Journal Ranking