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ISSN 0925-2312
Country The Netherlands

About the journal

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered. Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices). Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.


Impact factor

The impact factor of Neurocomputing is as follows:

Year Impact Rank Quartile
2018 4.072 28/134 Q1
2017 3.241 27/132 Q1
2016 3.317 24/133 Q1
2015 2.392 31/130 Q1
2014 2.083 36/123 Q2
2013 2.005 28/121 Q1
2012 1.634 37/115 Q2
2011 1.580 39/111 Q2
2010 1.429 50/108 Q2
2009 1.440 47/103 Q2
2008 1.234 53/94 Q3
2007 0.865 50/93 Q3
2006 0.860
2005 0.790