Computer Science

Publishes survey and tutorial articles on the following topics: Adaptive signal processing; Audio signal processing; Biological and biomedical signal processing; Complexity in signal processing; Digital signal processing; Distributed and network signal processing; Image and video processing; Linear and nonlinear filtering; Multidimensional signal processing; Multimodal signal processing; Multirate signal processing; Multiresolution signal processing; Nonlinear signal processing; Randomized algorithms in signal processing;

Provides publisher-neutral data, statistics, and citation metrics about scholarly research, as well as a journal’s role within and influence upon the global research community. Includes access to the Journal Impact Factor™ (JIF).

A widely recognized forum for presenting research that advances the practice and understanding of organizational information systems. It serves those investigating new modes of information delivery and the changing landscape of information policy-making and practitioners and executives managing the information resource.

objective of the MIS Quarterly is the enhancement and communication of knowledge concerning the development of IT-based services, the management of IT resources, and the use, impact, and economics of IT with managerial, organizational, and societal implications.

Covers materials, therapies, devices, technology, systems, methods and processes that facilitate the understanding of human disease, or its prevention, diagnosis, treatment, alleviation or monitoring.

Publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI.

Publishes high-quality research papers that apply computational approaches for the design of new materials, and for enhancing our understanding of existing ones. New computational techniques – and the refinement of current approaches – that facilitate these aims are also welcome, as are experimental papers that complement computational findings.

Publishes quality operations research and management science work of interest to the OR practitioner and researcher in three substantive categories: methods, data-based operational science, and the practice of OR.

The computational molecular sciences utilize the techniques of rigorous chemical as well as physical theories and computer-based modeling, relying on specialized hardware and software development, algorithm design, and database management to examine and elucidate all aspects of the molecular sciences.