ACM Journal of Experimental Algorithmics | 2024 Cite Score: 4.7 | Q2

About:

• About this Journal:
• Focuses on publishing research in experimental algorithmics, emphasizing practical and computational aspects of algorithms.
• Encourages the development and analysis of algorithms through empirical studies and computational experiments.
• Provides a platform for disseminating innovative algorithmic techniques and their applications in real-world scenarios.
• Serves as a resource for researchers and practitioners interested in the intersection of theory and practice in algorithm design.

• Journal Home:  Journal Homepage

• Editor-in-Chief:  G. Navarro

Scope:

• Scope of the Journal:
• Experimental analysis and benchmarking of algorithms.
• Development of new algorithmic techniques with practical applications.
• Comparative studies of algorithm performance in various computational environments.
• Innovations in algorithmic design and their implementation in software systems.
• Applications of algorithms in fields such as data mining, machine learning, and network analysis.
• Studies on the scalability and efficiency of algorithms in large-scale systems.
• Latest Research Topics for PhD in Computer Science

• Print ISSN:  10846654

  Electronic ISSN:  1996-2023

• Abstracting and Indexing:  Scopus

• Imapct Factor :  

• Subject Area and Category:  Theoretical Computer Science

• Publication Frequency:  

• H Index:  42

• Best Quartile:

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  Q2:  Theoretical Computer Science

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• Cite Score:  

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• Latest Articles:   Latest Articles in ACM Journal of Experimental Algorithmics | 2024 Cite Score: 4.7 | Q2

• Guidelines for Authors: ACM Journal of Experimental Algorithmics | 2024 Cite Score: 4.7 | Q2 Author Guidelines

• Paper Submissions: Paper Submissions in ACM Journal of Experimental Algorithmics | 2024 Cite Score: 4.7 | Q2

• Publisher:  Association for Computing Machinery

  Country:  United States