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Software Impacts provides a scholarly reference to software that has been used to address a research challenge. Software Impacts is:
Multidisciplinary: The journal welcomes submissions from all areas of mathematical and physical sciences, engineering, medical sciences, biological sciences, humanities, art and social sciences, as well as cross cutting thematic areas.
Acknowledging the contribution of software to scientific research: Software submitted for consideration must have contributed to scientific research, with the outputs published in at least one scholarly, peer-reviewed article
Open Access: Your article will be freely available to access online
Peer-reviewed: The Editorial Team assesses the originality and quality of submitted software via published results. Such results are considered reliable if they have been published in a peer-reviewed, scholarly publication. The Editors of Software Impacts review the Impact Statement with the assistance of subject matter experts using single blind peer-review process.
Re-usable: Software discussed in Software Impacts must adhere to a recognized legal license, such as the OSI-approved licenses. To acknowledge the author's work, the software will be fully citable as an Original Software Publication, archived and indexed and made available as a complete online "body of work" for other researchers and practitioners to discover, validate and re-use. Submissions are only considered if the code/software has been made freely available.
Badged for Reproducibility: Software submitted to Software Impacts for consideration is verified and certified for computational reproducibility by the CodeOcean, a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. Certified papers will be given additional exposure by having an attached Reproducibility Badge, and by being listed on the CodeOcean website.
Available on GitHub: All software publications published in Software Impacts are hosted on a repository on GitHub. A copy of the 'accepted for publication' version of software/code will be copied to the journal's GitHub repository for indexing purposes. Go to the Software Impacts GitHub repository.
Michael Kwok-Po Ng, PhD The University of Hong Kong, Department of Mathematics, Pok Fu Lam, Hong Kong Scientific Computing, Data science, Bioinformatics
Luca Baldesi, PhD Northeastern University, Boston, Massachusetts, United States of America Networking, wireless communication, distributed systems, graph theory, deep learning, cognitive radio, spectrum sharing.
Xiaohao Cai, PhD University of Southampton School of Electronics and Computer Science, Southampton, United Kingdom Computer vision, imaging processing, machine learning, scientific computing.
Chuan Chen, PhD Sun Yat-Sen University, Guangzhou, China Graph Machine Learning, Federated Learning, Multi-view Learning, Clustering and Classification, Data Mining