IEEE BITS the Information Theory Magazine (IBITM)

IEEE BITS the Information Theory Magazine publishes content that includes tutorials and review articles, introductions to emerging topics, historical surveys, and columns. The tutorial and review articles cover both traditional and emerging areas associated with Information Theory research and are written in a style accessible to readers outside the specialty of the article. The historical surveys are intended to highlight technological advances of current interest that have been significantly impacted by past Information Theory research. The columns include topics such as perspectives from funding agencies, startups and industry developments, puzzles and cartoons, and reporting on events of interest to our audience. Policies that apply to all IEEE publications, including policies related to the use of AI, can be found in the Publications Services and Products Operations Manual. This publication considers original works that enhance the existing body of knowledge. Original review articles and surveys are acceptable, even if new data/concepts are not presented. Results described in the article should not have been submitted or published elsewhere. Expanded versions of conference publications may be submitted. Articles must be intelligible and must be written in standard English.

IEEE BITS the Information Theory Magazine (IBITM) is :-

• International, Peer-Reviewed, Open Access, Refereed, General Computer Science, Computer Science (miscellaneous), Library and Information Sciences, Information Theory, Coding Theory, Data Compression, Cryptography, Communication Systems, Machine Learning, coding theory, data compression, cryptography, network information theory, machine learning , Online or Print , Bi-Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2692-4080, E-ISSN: 2692-4110, Established: 2021,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE