SCIESCOPUS
NEURAL NETWORK WORLD
Czech Technical University in Prague, Czech Republic
NEURAL NETWORK WORLD is an academic journal published by Czech Technical University in Prague (Czech Republic). Identifiers: ISSN 1210-0552, eISSN 2336-4335. Indexed in SCIE, SCOPUS. Metrics: CiteScore 2.1, SJR 0.196, SNIP 0.37. Subject areas: ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE. tlooto lists 455 papers from this journal.
CiteScore
2.10
Scopus citation metric
SJR
0.196
SCImago rank
SNIP
0.37
Source normalized impact
Percentage rank
-
JIF percentile rank
Journal profile
- ISSN
- 1210-0552
- eISSN
- 2336-4335
- Abbreviation
- -
- Publisher
- Czech Technical University in Prague
- Country
- Czech Republic
Web of Science categories
SCIEARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE
Scopus ASJC categories
1702170817122800 General Neuroscience
Keywords
Computer Science, Artificial Intelligence
Papers in this journal
Recent papers
- Optimization Approach for Handling Irrops from the Perspective of Passenger Impact
2025
- States of Wakefulness, Mentation and Consciouness are Accompanied By The Characteristic Electrical Activity Of The Thalamocortical Mechanisms Of The Human Brain
2025
- Assessment of Conversational Chatbots for Driving Support Applications
2025
- Design of a Digital Twin Model for Mobility Management in a Transformed Brownfield Site
2025
- Situation Model of the Transport, Transport Emissions and Meteorological Conditions
2025 · 8 citations
Most cited papers
- Orchestrated reduction of quantum coherence in brain microtubules: A model for consciousness
1996 · 720 citations
- Least squares support vector machines for classification and nonlinear modelling
2000 · 118 citations
- ARTIFICIAL INTELLIGENCE-BASED PREDICTION MODELS FOR ENVIRONMENTAL ENGINEERING
2011 · 103 citations
- MODELLING SMART ROAD TRAFFIC CONGESTION CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUES
2019 · 87 citations
- Classification of sonar data set using neural network trained by Gray Wolf Optimization
2016 · 78 citations