Ranking & Metrics Journal Information Aims & Scope of the Journal
Information Processing Letters

Information Processing Letters

Impact Score 2.97


Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing top scientists in addition to the h-index estimated from the scientific papers published by top scientists. See more details on our methodology page.

Research Impact Score: 2.97
JCR Impact Factor: 0.677
Scopus Citescore: 2.3
SCIMAGO H-index: 73
Research Ranking (Computer Science) 345
Number of Top scientists: 39
Documents by top scientists: 41

Journal Information

ISSN: 0020-0190
Publisher: Information Processing Letters
Periodicity: Monthly
Editors-in-Chief: Marek Chrobak

Aims & Scope of the Journal

Information Processing Letters publishes original research documents in the arena of General Computer Science and Machine Learning & Artificial intelligence. The journal is aimed at academics, practitioners and scientists who are interested in such topics of academic research . Information Processing Letters showcases high-quality, original articles where all submitted papers are peer reviewed to assure top quality. The journal encourages submissions from the research community where the priority will be on the originality and the practical significance of the reported findings.

Information Processing Letters is listed in a wide scope of abstracting and indexing datasets such as Scopus, Web of Science and Guide2Research. A significant number of leading scientists have published their research contributions at this Journal for instance Michel Raynal, Andrzej Pelc, Vincent Rijmen and Alan Frieze.

For more information on the guidelines and submission prerequisites for authors, it is recommended to see the official website for the journal for Information Processing Letters at https://www.journals.elsevier.com/information-processing-letters .