Connection Science
Connection Science is a journal indexed in SJR in Software and Artificial Intelligence with an H index of 52. It has a price of 2395 €. It has an SJR impact factor of 0,681 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,681.
Metrics
Scimago and CountryOfPapers database fields
SJR Impact
0,681
H-index
52
Docs (year)
48
Docs 3y
283
Total refs
2458
Cites 3y
1327
Citable 3y
281
Cites/Doc 2y
4.83
Ref/Doc
51.21
Immediate OA
2395 €
Embargoed OA
NPD
Non OA / Submission
0 €
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Researcher reviews
Best articles by citations
An exploration of a new paradigm for weightless RAM-based neural networks
View moreWhere infants look when impossible things happen: simulating and testing a gaze-direction model
View moreBook review
View moreBetter Living Through Chemistry: Evolving GasNets for Robot Control
View moreBehavioural Aspects of Combining Backpropagation Learning and Self-organizing Maps
View moreBackpropagation Discrimination Geometric Analysis Interference Memory Modelling Neural Nets
View moreB-RAAM: A Connectionist Model which Develops Holistic Internal Representations of Symbolic Structures
View moreArtificial motives: A review of motivation in artificial creatures
View moreAre Rule-based Neural Networks Biologically Plausible?
View moreAre Feedforward and Recurrent Networks Systematic? Analysis and Implications for a Connectionist Cognitive Architecture
View moreApplication of Several Methods of Classification Fusion to Magnetic Resonance Spectra
View moreAnalysis of Hidden Representations by Greedy Clustering
View moreAnalysis and synthesis of Cohen-Grossberg networks with asymmetric connections
View more(S)RAAM: An Analytical Technique for Fast and Reliable Derivation of Connectionist Symbol Structure Representations
View moreAdaptive Resonance Theory-based Modular Networks for Incremental Learning of Hierarchical Clusterings
View moreAdaptation of Learning Rule Parameters Using a Meta Neural Network
View moreA Topological Semantics for Rule Extraction with Neural Networks
View moreA real-time robotic model of human reference resolution using visual constraints
View moreA New Theory of Cerebellar Function
View moreA Neural Network Construction Algorithm which Maximizes the Likelihood Function
View moreA Neural Gripper for Arbitrary Object Grasping
View moreA Multi-robot System for Adaptive Exploration of a Fast-changing Environment: Probabilistic Modeling and Experimental Study
View moreA Dynamic Neural Substrate and Automatic Perception Switching
View moreA critique of connectionist semantics
View more