2.320 16.00%

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Probability Theory and Related Fields - Journal Impact

The Journal Impact 2019-2020 of Probability Theory and Related Fields is 2.320, which is just updated in 2020. Compared with historical Journal Impact data, the Metric 2019 of Probability Theory and Related Fields grew by 16.00% . The Journal Impact Quartile of Probability Theory and Related Fields 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 Probability Theory and Related Fields.


Probability Theory and Related Fields Real-Time Journal Impact/Jouranl Metric Prediction & Tracking, 2020 2019 2018 2017 2016 2015 Journal Impact | Metric Trend & History - Academic Accelerator


Probability Theory and Related Fields - 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.

Probability Theory and Related Fields Journal Impact Prediction System - Metric and Trend
  • Article Volume 2017 73
  • Article Volume 2016 74
  • Article Volume 2015 46
  • ISSN
  • 01788051, 14322064
  • Open Access
  • Publisher
  • Springer Verlag
  • Country/Region
  • Germany
  • History
  • Categories
  • Analysis (Q1), Statistics and Probability (Q1), Statistics, Probability and Uncertainty (Q1)

Probability Theory and Related Fields - ISSN

The ISSN of Probability Theory and Related Fields is 01788051, 14322064. 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.

Probability Theory and Related Fields - ISSN

Probability Theory and Related Fields - Subscription (non-OA) Journal

Probability Theory and Related Fields 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.

Probability Theory and Related Fields - Open Access

Probability Theory and Related Fields - Publisher

Probability Theory and Related Fields is published by Springer Verlag, which is located in the Germany. The Publication History of Probability Theory and Related Fields covers 1986-ongoing.

Probability Theory and Related Fields - Publisher

Probability Theory and Related Fields - Categories

Probability Theory and Related Fields is a peer-reviewed scientific journal. The scope of Probability Theory and Related Fields covers Analysis (Q1), Statistics and Probability (Q1), Statistics, Probability and Uncertainty (Q1).

Probability Theory and Related Fields - Categories

Probability Theory and Related Fields - 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 Probability Theory and Related Fields.

Probability Theory and Related Fields - Journal Metric