List of Topics:
Location Research Breakthrough Possible @S-Logix pro@slogix.in

Office Address

Social List

EPJ Data Science - Springer Nature | 2024 Impact Factor:2.5 | Cite Score:6.2 | Q1

EPJ Data Science Journal

Impact Factor and Journal Rank of EPJ Data Science

  • About: Objective:
    EPJ Data Science explores a wide spectrum of research domains and applications, with a strong emphasis on techno-socio-economic systems. The journal encourages submissions that treat digital footprints of human activities as fundamental subjects for scientific inquiry. Its scope spans various fields, including human behavior, social interactions, economic systems, and environmental health, among others.
  • Research Areas:
    Human Behavior and Social Interaction: Investigating behaviors and interactions within human societies, including animal behavior.
    Economic and Financial Systems: Analyzing economic structures, financial markets, and their dynamics.
    Management and Business Networks: Studying organizational networks, business ecosystems, and management practices.
    Socio-Technical Infrastructure: Examining the interplay between social systems and technological infrastructures.
    Health and Environmental Systems: Researching healthcare systems, environmental impacts, and sustainability.
    Science of Science: Exploring methodologies and insights into scientific research practices and outcomes.
    Risk and Crisis Scenario Forecasting: Predicting and mitigating risks, crises, and their implications through data-driven approaches.
    Policy Advice: Providing insights and recommendations for policy formulation based on empirical data and scientific analysis.
  • Contribution Types:
    EPJ Data Science welcomes original research articles, reviews, and methodological papers that advance understanding and application in the aforementioned areas. The journal encourages interdisciplinary approaches that integrate insights from data science, social sciences, economics, and policy studies.
  • Conclusion:
    EPJ Data Science serves as a leading platform for researchers and practitioners interested in leveraging data science to explore and address complex socio-economic challenges. By facilitating interdisciplinary dialogue and rigorous scientific inquiry, the journal aims to foster innovation and inform evidence-based decision-making in policy and practice.

  • Editor-in-Chief:  Yelena Mejova

  • Scope: Human behavior and social
  • interaction (including animal societies)
  • Economic and financial systems
  • Management and business networks
  • Socio-technical infrastructure
  • Health and environmental systems
  • Science of science
  • Risk and crisis scenario forecasting
  • Policy advice
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  21931127

    Electronic ISSN:  

  • Abstracting and Indexing:  Scopus, SCience Citation Index Expanded

  • Imapct Factor 2024:  2.5

  • Subject Area and Category:   Computer Science, Computer Science Applications, Mathematics, Computational Mathematics, Modeling and Simulation

  • Publication Frequency:  

  • H Index:  50

  • Best Quartile:

    Q1:  Modeling and Simulation

    Q2:  

    Q3:  

    Q4:  

  • Cite Score:  6.2

  • SNIP:  1.286

  • Journal Rank(SJR):  0.742