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
Performance Evaluation functions as a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire Performance Evaluation profession. Hence, the journal is interested in papers that focus on one or more of the following dimensions:
- Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniques
- Provide new insights into the performance of computing and communication systems
- Introduce new application areas where performance evaluation tools can play an important role and creative new uses for performance evaluation tools.
More specifically, common application areas of interest include the performance of:
- Resource allocation and control methods and algorithms (e.g. routing and flow control in networks, bandwidth allocation, processor scheduling, memory management)
- System architecture, design and implementation
- Cognitive radio
- Social networks and media
- Energy efficient ICT
- Energy harvesting
- Data centers
- Data centric networks
- System reliability
- System tuning and capacity planning
- Wireless and sensor networks
- Autonomic and self-organizing systems
- Embedded systems
- Network science
Further, common performance evaluation tools of interest include:
- queueing theory
- scheduling theory
- simulation methods
- data analysis
- measurement techniques (e.g. software and hardware monitors) and workload characterization
- stochastic geometry
- large deviations
- mean-field theory
- game theory and equilibrium analysis
Note that the above lists are not all inclusive or restrictive and submissions with creative applications of performance evaluation tools outside of those above and/or applications outside of those above are also welcome.
A variety of types of submissions are possible, including: original work, tutorials & surveys, news items and short communications.
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