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ACM Transactions on Economics and Computation | 2024 Impact Factor:0.9 | Cite Score:4.1 | Q1

ACM Transactions on Economics and Computation Journal With Cite Score

Cite Score and Journal Rank of ACM Transactions on Economics and Computation

  • About: ACM Transactions on Economics and Computation (TEAC) is a peer-reviewed journal focusing on the intersection of economics and computation. It publishes high-quality research that explores how computational methods and algorithms are applied to economic problems and vice versa. The journal covers a wide range of topics including algorithmic game theory, computational economics, market design, and the application of computational techniques to economic theory and practice. TEAC aims to advance the understanding of economic systems through the lens of computation and provide insights that bridge the gap between these disciplines.
  • Objective:
    The primary objective of TEAC is to foster innovation and knowledge in the field of economics and computation by publishing cutting-edge research that integrates computational techniques with economic analysis. The journal seeks to explore how computational methods can address complex economic questions, enhance market mechanisms, and improve decision-making processes. TEAC aims to support the development of new theories, algorithms, and applications that advance both the theoretical and practical aspects of economics and computation.
  • Interdisciplinary Approach:
    TEAC adopts an interdisciplinary approach, encouraging contributions from fields such as computer science, economics, operations research, and applied mathematics. This approach ensures a comprehensive examination of problems and solutions at the intersection of computation and economics. By fostering interdisciplinary research, the journal aims to address complex challenges and develop innovative approaches that enhance the understanding and application of computational methods in economic contexts.
  • Impact:
    The journal has a significant impact on both academic research and practical applications in the fields of economics and computation. It is widely cited by researchers, practitioners, and policymakers interested in the integration of computational methods with economic theory and practice. The research published in TEAC contributes to the development of new algorithms, models, and techniques that influence economic analysis, market design, and decision-making processes. The journal also serves as a valuable resource for educators and students in the fields of economics and computational science.
  • Significance:
    TEAC plays a crucial role in advancing the study and application of computational methods in economics by publishing high-quality research that addresses key challenges and explores new opportunities. Its contributions support the development of effective and innovative solutions that enhance economic analysis, market mechanisms, and decision-making. The journals interdisciplinary focus and commitment to excellence make it an essential resource for anyone involved in the research, development, and application of computation in economic contexts. Through its rigorous scholarship and comprehensive coverage, TEAC helps shape the future of the integration of economics and computation.

  • Editor-in-Chief:  Paul W Goldberg

  • Scope: The ACM Transactions on Economics and Computation (TEAC) focuses on the intersection of computer science and economics. Its scope includes, but is not limited to:
  • Algorithmic Game Theory: Research on the design and analysis of algorithms in strategic settings where multiple agents interact, including game theory and mechanism design.
  • Market Design and Auctions: Studies on the design and analysis of markets and auctions, including online and combinatorial auctions, pricing mechanisms, and market equilibria.
  • Computational Social Choice: Research on the computational aspects of collective decision-making, voting systems, and fair division.
  • Network Economics: Exploration of economic behaviors in networked systems, including social networks, communication networks, and financial networks.
  • Algorithmic Mechanism Design: Studies on the development of algorithms that align individual incentives with global objectives, addressing issues such as truthfulness and efficiency.
  • Economic Aspects of Cryptography and Security: Research on the economic implications of cryptographic protocols and security mechanisms, including privacy, digital currencies, and blockchain technology.
  • Econometrics and Data Science: Application of computational techniques to economic data analysis, including econometrics, machine learning, and big data analytics.
  • Computational Finance: Research on computational methods and models in finance, including algorithmic trading, financial risk management, and quantitative finance.
  • Experimental Economics and Behavioral Economics: Studies using experimental and computational methods to understand economic behavior and decision-making processes.
  • Economics of Information Systems: Research on the economic aspects of information systems, including digital markets, e-commerce, and the economics of information goods.
  • Online Platforms and Digital Markets: Studies on the design, operation, and economic impact of online platforms, marketplaces, and digital ecosystems.
  • Optimization and Operations Research in Economics: Application of optimization techniques and operations research methods to economic problems, including resource allocation, scheduling, and logistics.
  • Dynamic and Stochastic Models in Economics: Research on dynamic and stochastic models in economic contexts, including dynamic programming, Markov decision processes, and stochastic games.
  • Policy and Regulation: Studies on the impact of policy and regulation on computational and economic systems, including antitrust, intellectual property, and digital governance.
  • Computational Models of Learning in Economics: Research on computational models of learning and adaptation in economic environments, including reinforcement learning and evolutionary game theory.
  • Resource Allocation and Mechanism Design in Multi-Agent Systems: Studies on resource allocation and mechanism design in settings involving multiple autonomous agents.
  • Theoretical Foundations of Economics and Computation: Research on the theoretical underpinnings of economics and computation, including complexity theory, algorithmic economics, and economic theory.
  • Case Studies and Applications: Real-world case studies demonstrating the application of computational techniques to economic problems and systems.
  • The journal serves as a platform for researchers, practitioners, and policymakers to share their findings and insights at the intersection of economics and computation, fostering interdisciplinary collaboration and advancing the understanding of complex economic systems through computational approaches.
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  • Print ISSN:  2167-8375

    Electronic ISSN:  2167-8383

  • Abstracting and Indexing:  Scopus

  • Imapct Factor 2024:  0.9

  • Subject Area and Category:   Business, Management and Accounting, Marketing, Computer Science, Computer Science (miscellaneous), Economics, Econometrics and Finance, Economics and Econometrics, Mathematics, Computational Mathematics, Statistics and Probability

  • Publication Frequency:  

  • H Index:  25

  • Best Quartile:

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    Q2:  Computer Science (miscellaneous)

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  • Cite Score:  4.1

  • SNIP:  1.244

  • Journal Rank(SJR):  0.708