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Performance Evaluation - Elsevier | 2024 Impact Factor:0.8 | Cite Score:3.0 | Q2

Performance Evaluation Journal

Impact Factor and Journal Rank of Performance Evaluation

  • About: Performance Evaluation is a peer-reviewed academic journal published by Elsevier. It focuses on research related to the performance evaluation, modeling, and analysis of computer systems and networks. The journal provides a platform for researchers, practitioners, and educators to publish original research articles, reviews, and case studies that advance the understanding and application of performance evaluation methodologies in computing and networking environments.
  • Objective: The primary objective of Performance Evaluation is to promote research and innovation in the field of performance evaluation. The journal aims to explore novel methodologies, techniques, and tools for modeling, measuring, and analyzing the performance of computer systems, networks, and applications. By publishing high-quality research, the journal contributes to the advancement of performance evaluation methodologies and their impact on system design, optimization, and management.
  • Interdisciplinary Focus: Performance Evaluation adopts an interdisciplinary approach, welcoming contributions from various fields related to performance evaluation, including but not limited to: Computer Science Electrical Engineering Operations Research Applied Mathematics Statistics Data Analytics Telecommunications Cloud Computing Internet of Things (IoT) Cyber-Physical Systems This interdisciplinary perspective fosters collaboration and innovation, leading to the development of advanced performance evaluation techniques and solutions that address complex challenges in diverse computing and networking environments.
  • Global Reach and Impact: With a broad international readership and authorship, Performance Evaluation has a global reach and impact. Its publications contribute to the dissemination of knowledge and advancements in performance evaluation methodologies worldwide. The journal content influences both academic research and industrial applications, driving progress in areas such as system performance modeling, capacity planning, resource allocation, and quality of service management.
  • High Standards and Rigorous Review: Maintaining high academic standards, Performance Evaluation conducts a rigorous peer-review process. Each submitted manuscript undergoes thorough evaluation by experts in the field to ensure the quality, originality, and scientific rigor of the research. This stringent review process upholds the integrity and reputation of the journal, ensuring that only high-quality and impactful research is published.
  • Significance: Performance Evaluation plays a significant role in advancing research and practice in performance evaluation methodologies. By providing a platform for the publication of cutting-edge research findings, the journal contributes to the growth of knowledge and innovation in performance analysis and optimization. It serves as an essential resource for researchers, practitioners, and educators seeking to leverage performance evaluation techniques to enhance the design, management, and operation of computer systems and networks.

  • Editor-in-Chief:  G. Casale

  • Scope: Performance Evaluation is a peer-reviewed scientific journal that focuses on the measurement, modeling, and evaluation of performance aspects of computing and communication systems. It covers a wide range of topics related to performance analysis and evaluation methodologies. Here is an overview of its key focus areas and scope:
  • 1. Performance Modeling:
    Research on mathematical and analytical models for predicting and analyzing the performance of systems, networks, and applications.
    Studies on queuing theory, stochastic processes, Markov models, and simulation techniques.
  • 2. Performance Measurement and Monitoring:
    Topics covering methodologies and tools for measuring and monitoring the performance of computing and communication systems.
    Research on performance metrics, benchmarking, profiling techniques, and performance data analysis.
  • 3. Quality of Service (QoS) Management:
    Advancements in QoS management techniques to ensure and improve the performance levels of services and applications.
    Research on traffic management, resource allocation, and scheduling algorithms.
  • 4. Performance Evaluation of Networks:
    Topics covering the evaluation and optimization of network performance, including wired, wireless, and ad-hoc networks.
    Research on network protocols, congestion control, routing algorithms, and network security.
  • 5. Cloud Computing and Data Centers:
    Advancements in performance evaluation methodologies for cloud computing environments and data center infrastructures.
    Research on virtualization techniques, load balancing, energy efficiency, and scalability.
  • 6. Big Data and Analytics:
    Topics covering performance evaluation challenges and solutions for big data processing and analytics platforms.
    Research on distributed computing frameworks, data streaming, and real-time analytics.
  • 7. Internet of Things (IoT) Systems:
    Advancements in performance evaluation techniques for IoT systems and applications.
    Research on IoT architectures, protocols, sensor networks, and IoT data analytics.
  • Latest Research Topics for PhD in Computer Science
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  • Print ISSN:  0166-5316

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, SCience Citation Index Expanded

  • Imapct Factor 2024:  0.8

  • Subject Area and Category:   Computer Science , Computer Networks and Communications, Hardware and Architecture, Software, Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  72

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  Computer Networks and Communications

    Q4:  

  • Cite Score:  3.0

  • SNIP:  0.767

  • Journal Rank(SJR):  0.426