The ISSN of ACS Energy Letters is 23808195. 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.
ACS Energy Letters - Subscription (non-OA) Journal
ACS Energy Letters 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.
ACS Energy Letters - Publisher
ACS Energy Letters is published by American Chemical Society,
which is located in the United States.
The Publication History of ACS Energy Letters covers 2016-ongoing.
ACS Energy Letters - Categories
ACS Energy Letters is a peer-reviewed scientific journal.
The scope of ACS Energy Letters covers
Chemistry (miscellaneous) (Q1), Energy Engineering and Power Technology (Q1), Fuel Technology (Q1), Materials Chemistry (Q1), Renewable Energy, Sustainability and the Environment (Q1).
The Impact Factor 2018 of ACS Energy Letters is
16.331, which is just updated in 2019.
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).
Compared with historical Impact Factor data, the Impact Factor 2018 of ACS Energy Letters grew by
The Impact Factor Quartile of ACS Energy Letters is
Besides, 92% scientific research articles published by ACS Energy Letters 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 ACS Energy Letters.
ACS Energy Letters - 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.