Frontiers in Neurorobotics - Impact Factor

Frontiers in Neurorobotics | 2025 Impact Factor:3.5 | Cite Score:8.6 | SCOPUS Q2

Impact Factor and Journal Rank of Frontiers in Neurorobotics

About: Frontiers in Neurorobotics Journal is a leading platform for the publication of pioneering research at the intersection of neuroscience and robotics. It aims to advance the understanding and application of neurorobotics through high-quality research articles, reviews, and innovative methodologies. The journal fosters interdisciplinary collaboration between neuroscientists, roboticists, and engineers, contributing to the development of intelligent robotic systems inspired by biological principles.
Publication Types:
Research Articles: Original research presenting new findings and advancements in neurorobotics.
Review Papers: Comprehensive reviews that summarize the current state of knowledge and recent developments in neurorobotics.
Methodological Papers: Detailed descriptions of new methods and technologies in the field of neurorobotics.
Case Studies: Practical reports on the application and implementation of neurorobotic systems in real-world scenarios.
Impact and Contribution:
Frontiers in Neurorobotics Journal serves as a vital resource for researchers, engineers, and practitioners in the fields of neuroscience and robotics. By publishing cutting-edge research and fostering interdisciplinary collaboration, the journal contributes to the advancement of intelligent robotic systems and their applications in various domains. For more information on submission guidelines and access to published articles, please visit the official Frontiers in Neurorobotics Journal page on the Frontiers website.

Journal Home: Journal Homepage

Editor-in-Chief: Alois C Knoll

Scope: Brain-Machine Interfaces: Research on interfaces that connect neural systems with robotic devices, enabling direct communication and control.
Neuro-inspired Robotics: Studies on robotic systems designed based on neural and biological principles, mimicking the structure and function of the nervous system.
Neural Control of Movement: Research exploring how neural circuits and brain mechanisms control motor functions and their applications in robotics.
Cognitive Robotics: Studies on the integration of cognitive processes such as learning, memory, and decision-making in robotic systems.
Adaptive and Learning Systems: Research on robots that can adapt and learn from their environment using neural and computational models.
Sensory-Motor Integration: Studies on how sensory information is integrated and processed to produce motor responses in neurorobotic systems.
Neural Prosthetics: Research on the development and application of prosthetic devices that interact with the nervous system to restore lost functions.
Biohybrid Systems: Studies on systems that combine biological and artificial components to create hybrid neurorobotic systems.
Computational Neuroscience: Research on computational models of neural processes and their implementation in robotic systems.