Why Researchers Choose Performance Evaluation for High-Impact Publications
Performance Evaluation stands as a cornerstone in the field of computer science, particularly for researchers focused on modeling and analyzing the performance of computing systems, networks, and software. Established in 1981 by Elsevier, this journal has built a reputation for publishing rigorous, innovative studies that address real-world challenges in system efficiency and reliability. With a 2022 impact factor of 2.0 according to Clarivate Journal Citation Reports, it offers a platform where theoretical advancements meet practical applications, attracting contributions from global experts in performance modeling, queueing theory, and simulation techniques.
The journal's scope encompasses a wide array of topics, including but not limited to, workload characterization, resource allocation in distributed systems, and evaluation methodologies for emerging technologies like cloud computing and IoT. Researchers value Performance Evaluation for its emphasis on reproducible results and interdisciplinary approaches, which often lead to citations in top conferences and subsequent publications. Its hybrid open access model allows authors to reach broader audiences while maintaining the prestige of a subscription-based outlet. For those in network and system administration roles within academia, publishing here enhances visibility and credibility, opening doors to collaborations and funding opportunities.
Key metrics highlight its selectivity: an acceptance rate not publicly disclosed but estimated around 20-30% based on peer reviews in similar venues, with average review times of 4-6 months. Indexed in Scopus, Web of Science, and INSPEC, articles gain immediate discoverability. The editorial board, comprising distinguished scholars from institutions like Imperial College London and UC Berkeley, ensures high standards through double-anonymized peer review.
Whether exploring stochastic processes or benchmarking protocols, Performance Evaluation provides the rigor needed for career advancement. Researchers preparing submissions should prioritize novel methodologies and empirical validations. To find related opportunities, explore computer science academic positions that align with this journal's focus.
Overview & History
Launched in 1981, Performance Evaluation has evolved alongside advancements in computing. Initially focused on queueing networks and Markov models, it now covers modern paradigms such as machine learning for performance prediction and energy-efficient systems. Published by Elsevier in the Netherlands, the journal releases 10 issues annually, fostering a community of over 5,000 subscribers worldwide. Its history reflects the growth of computer science, from mainframe evaluations to today's edge computing challenges. Milestones include special issues on parallel processing in the 1990s and cloud performance in the 2010s, solidifying its role in shaping the discipline.
Scope and Disciplines Covered
Performance Evaluation targets research that quantifies and optimizes system behaviors across computing environments. Core areas include analytical modeling, simulation, and measurement-based analysis.
| Discipline | Description |
|---|---|
| Computer Networks | Performance in wired, wireless, and ad-hoc networks, including traffic modeling and QoS. |
| Distributed Systems | Scalability, fault tolerance, and resource management in clusters and grids. |
| Software Engineering | Benchmarking tools, workload analysis, and performance tuning methodologies. |
| Operating Systems | Scheduling algorithms, virtualization overhead, and real-time system evaluations. |
| Queueing Theory | Stochastic models for concurrency and contention in multi-user environments. |
Interdisciplinary overlaps with operations research and applied mathematics are encouraged, provided they advance computing performance insights.
Key Journal Metrics
| Metric | Value | Source |
|---|---|---|
| Impact Factor (2022) | 2.0 | Clarivate JCR |
| CiteScore (2022) | 4.3 | Scopus |
| h-Index | 72 | Scopus |
| Acceptance Rate | Not publicly disclosed | N/A |
| Average Time to First Decision | 4 months | Elsevier Journal Insights |
These metrics position Performance Evaluation in Q2 of computer science categories, appealing to authors seeking balanced prestige and accessibility.
Indexing and Abstracting
Articles in Performance Evaluation are indexed in major databases, ensuring global reach. Coverage includes Science Citation Index Expanded (Web of Science), Scopus, and EI Compendex. Abstracting services like INSPEC and MathSciNet provide additional visibility in engineering and mathematical communities. DOAJ listing is not applicable as it is not fully open access, but Sherpa/RoMEO confirms green open access policies for self-archiving.
Publication Model and Fees
As a hybrid journal, Performance Evaluation offers traditional subscription access alongside gold open access options. The article publishing charge (APC) for open access is approximately €2,870 (excluding taxes), waivable under certain agreements. Page charges do not apply, and color figures are free. Authors retain copyright via Creative Commons licenses for OA articles, promoting wider dissemination while Elsevier handles distribution.
Submission Process and Guidelines
Submissions are managed through Elsevier's Editorial Manager system at the journal's homepage. Manuscripts should be original, up to 20 pages, formatted in LaTeX or Word per author guidelines. Double-anonymized review requires removal of identifying information. Ethical standards follow COPE guidelines, with emphasis on data availability statements. Initial checks occur within weeks, followed by peer review by 2-3 experts.
Editorial Board Highlights
The editorial board features prominent figures such as Kin K. Leung from Imperial College London, specializing in wireless networks, and Jane Hillston from the University of Edinburgh, an expert in performance modeling. Other members include researchers from Tsinghua University and IBM Research, ensuring diverse perspectives on global computing challenges. This international composition, with over 50 editors, maintains the journal's high quality and relevance.
Why Publish in Performance Evaluation?
Publishing in Performance Evaluation elevates research profiles due to its targeted audience of systems experts. The journal's focus on actionable insights leads to practical impacts, such as influencing industry standards in data centers. Compared to broader venues, it offers faster publication cycles and specialized feedback. For early-career researchers, it serves as a stepping stone to higher-impact outlets, with many alumni advancing to tenured positions. Integration with Elsevier's ecosystem provides tools like interactive plots and dataset linking.
Comparison with Similar Journals
| Journal | Publisher | Impact Factor (2022) | Focus |
|---|---|---|---|
| Performance Evaluation | Elsevier | 2.0 | System and network performance modeling |
| IEEE Transactions on Computers | IEEE | 3.3 | Hardware-software co-design and evaluation |
| Journal of Parallel and Distributed Computing | Elsevier | 2.8 | Parallel systems and algorithms |
| ACM Transactions on Modeling and Computer Simulation | ACM | 1.8 | Simulation methodologies |
| Computers & Operations Research | Elsevier | 4.0 | Optimization in computing contexts |
Performance Evaluation distinguishes itself through its emphasis on empirical validation and queueing applications, complementing broader hardware-focused peers.
Researcher Tips for Successful Submission
To succeed, align submissions with current calls, such as those on AI-driven performance analysis. Use standardized benchmarks and include sensitivity analyses. Engage with recent issues for citation trends. Collaborate internationally to strengthen novelty claims. Post-submission, track progress via the portal and prepare for revisions based on reviewer expertise in stochastic methods.