SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© Thomson Reuters Journal Citation Reports 2015
To calculate the five year Impact Factor, citations are counted in 2014 to the previous five years and divided by the source items published in the previous five years.
© Journal Citation Reports 2015, Published by Thomson Reuters
Digital Signal Processing: a Review Journal is one of the oldest and most established journals in the field of signal processing yet it aims to be the most innovative one. The journal invites top quality research articles at the frontiers of research in all aspects of signal processing. Our objective is to provide a platform for the publication of groundbreaking research in signal processing with both academic and industrial appeal.
The journal has a special emphasis on statistical signal processing methodology such as Bayesian signal processing, and encourages articles on emerging areas in signal processing which do not find space in other journals of the field. These include:
- environmental signal processing,
- stochastic modelling of biological and chemical processes,
- seismic signal processing,
- financial time series analysis,
- stochastic calculus,
- geophysical signal processing,
- systems biology,
- signal processing for human-computer interaction and intelligent user interfaces,
- signal processing for audio, visual and performance arts,
- signal processing for disaster management and prevention,
- signal processing for renewable energy,
- game theory and group theory for signal processing,
- information theory articles with a signal processing perspective.
Papers in the classical application areas of signal processing such as telecommunications, speech and image processing are welcome only if they contain novel research. Purely application oriented articles in these areas should be submitted to the relevant dedicated journals. Similarly, authors who would like to submit on areas of neural networks or fuzzy sets are invited to submit their work to the appropriate journals.
Digital Signal Processing: a Review Journal also aims to publish at least one high quality review article in every issue and to provide focus issues with special emphasis on emerging topics. Discussion articles in which several leading researchers discuss the future of a specific research area are also welcome.