Who publishes New Generation Computing?

New Generation Computing is published by Springer.

What is the ISSN of New Generation Computing?

The ISSN of New Generation Computing is 0288-3635.

What is the impact factor of New Generation Computing?

The reported impact factor of New Generation Computing is 2.8. Impact factor values are reproduced from publishers and may lag the latest JCR release.

Journal Information

New Generation Computing

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Impact Factor:

2.8

Publisher:

Springer

ISSN:

0288-3635

Viewed:

20311

Tracked:

0

Call For Papers

New Generation Computing is an academic journal published by Springer. (ISSN 0288-3635, impact factor 2.8).

Overview

The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.
 
Areas covered in New Generation Computing include:

Learning: Foundations and Models of Learning, Computational Learning Theory, Grammatical Inference, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning

Data Mining: Fundamental Data Mining Methods (e.g. Frequent Pattern Mining, Stream Data Mining, Graph and Network Mining, Relational Data Mining), Text and Web Mining, Statistical Methods for Data Mining, Machine Learning Methods for Data Mining, Visualization Methods for Data Mining, Practical Applications of Data Mining, Data Mining  across Cyberspace and Real Space, Ethics of Data Mining (e.g. Bias, Fairness, Privacy, Social Acceptability), Data Mining to Solve Social Issues (e.g. Climate Change, Declining Birthrate and Aging Population, Cyber Warfare)

Cognitive Computing: Modeling Human Knowledge, Modeling Human Problem Solving and Learning, Semantic Computing, Modeling and Analyzing Decision Making, Cognitive Architecture, Artificial General Intelligence, Human Level AI.

Programming and Semantics: Foundations and Models of Computation, Computational Logic, Programming Systems, Declarative Programming, Concurrency and Parallelism, Quantum Computing.

Control Theory of Bio- and Nano-systems: Formal Models of Molecular Systems, Computation by Token-based Systems, Non-Bool ean Representations of Signals in Nature, Cellular Automata Based on Mechanisms Found in Nature.

Bio/Nano/Molecular Computing and Engineering: Molecular Robotics & Artificial Cells, DNA Nanoengineering, Molecular Computing/Programming, Self-organizing Systems.

Skill Science and Philosophy: Skills and Knowledge in Life, Communication and Social Skills, Learning of Embodied Skills and Knowledge, “Kansei" and Value Creation, Sports Science, Measurement and Analysis of Body Movements, Systems Theory of Body, Cognitive Approach of Skill Science, Subjective Verbalization of Proprioceptive Sense, Co-evolution of Body and Language, Symbol Grounding, Symbol Generation

Computational Social Science: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems, Social Simulation, Virtual Lab

Last updated by Dou Sun in 2026-01-10

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c	c	b3	NPC	International Conference on Network and Parallel Computing	2025-08-15	2025-09-01	2025-11-14
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