Ingénierie des Systèmes d’Information
- ISSN:1633-1311 (print); 2116-7125 (online)
- Indexing & Archiving:ScopusSCImago (SJR)CrossRefPorticoEBSCOhostGoogle ScholarPublonsMIARScienceOpenMicrosoft AcademicCNKI ScholarBaidu Scholar
- Subject:Computer Sciences
Ingénierie des Systèmes d’Information (ISI) is a top-rated international journal devoted to publishing the most innovative models, algorithms, software and hardware for information systems.
The subject areas mainly include data management issues and data-related issues in the following fields: data mining, data management, information retrieval, process management, machine learning, scientific computing, data science and audiovisual information systems. We welcome implementation articles that deal with fault detection and tolerance, parallel and distributed data management, as well as general or special purpose hardware for data-intensive systems. We also welcome manuscripts from application domains like cloud platform, Internet of Things (IoT), and peer-to-peer environment. Contributions from industrial enterprises are also welcome.
All manuscripts should provide novel solutions to data management problems, namely, data models and performance enhancement, and demonstrate the application potential of these solutions. Moreover, all manuscripts should handle the research problems with solid empirical evidences from real-world or future applications. Systems papers must include rigorous experiment on prototype or robust simulations of real systems. Theoretical articles must have clear motivations from applications, develop innovative algorithms or extend existing solutions, and fully manifest the applicability of their ideas. The technical solutions must be explained clearly in a uniform notation, facilitating their applications beyond the research domain. The extremely complex details may be demonstrated with reference to previous studies.
Focus and Scope
The ISI welcomes original research papers, technical notes and review articles on various disciplines, including but not limited to:
- Data mining
- Data management
- Information retrieval
- Process management
- Machine learning
- Scientific computing
- Data science
- Audiovisual information systems
- Fault detection
- Fault tolerance
- Parallel data management
- Distributed data management
- General purpose hardware
- Special purpose hardware
- Cloud platform
- Internet of Things (IoT)
- Peer-to-peer environment
The ISI is published regularly by the IIETA, with six regular issues (excluding special issues) and one volume per year.
Peer Review Statement
The IIETA adopts a double blind review process. Once submitted, a paper dealing with suitable topics will be sent to the editor-in-chief or other members of the editorial board, and then be reviewed by at least two experts in the relevant field. The reviewers are either members of our editorial board or special external experts invited by the journal. In light of the reviewers’ comments, the editor-in-chief or other members of the editorial board will make the final decision over the publication, and return the decision to the author.
There are four possible decisions concerning the paper: acceptance, minor revision, major revision and rejection. Acceptances means the paper will be published directly without any revision. Minor revision means the author should make minor changes to the manuscript according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or other members of the editorial board. Major revision means the author should modify the manuscript significantly according to reviewers’ comments and submit the revised version to the IIETA. The revised version will be accepted or rejected at the discretion of the editor-in-chief or other members of the editorial board. Rejection means the submitted paper will not be published.
If a paper is accepted, the editor-in-chief or managing editor will send an acceptance letter to the author, and ask the author to prepare the paper in MS Word using the template of IIETA.
Plagiarism is committed when one author uses another work without permission, credit, or acknowledgment. Plagiarism takes different forms, from literal copying to paraphrasing the work of another. The IIETA uses ithenTicate to screen for unoriginal material. Authors submitting to an IIETA journal should be aware that their paper may be submitted to CrossRef at any point during the peer-review or production process. Any allegations of plagiarism made to a journal will be investigated by the editor-in-chief or managing editor. If the allegations appear to be founded, we will request all named authors of the paper to give an explanation of the overlapping material. If the explanation is not satisfactory, we will reject the submission, and may also reject future submissions.
For instructions on citing any of IIETA’s journals as well as our Ethics Statement, see Policies and Standards.
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ISSN: 1633-1311 (print); 2116-7125 (online)
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