NEUROINFORMATICS
ISSN:1539-2791

NEUROINFORMATICS

NEUROINFORMATICS
学科领域:医学
是否预警:不在预警名单内
是否OA:
录用周期:>12周,或约稿
新锐分区:医学3区
年发文量:41
影响因子:3.1
JCR分区:Q2

基本信息

神经信息学出版原创文章和评论,重点是与神经科学研究所有领域的分析、建模、集成和共享相关的数据结构和软件工具。编辑们特别邀请对以下方面作出贡献:(1)理论和方法,包括本体论、建模方法、数据库设计和元分析的讨论;(二)已开发的数据库、软件工具及其发布方法的说明;(3)相关实验结果,如伴随海量数据集发布的报告;(4)集成和组织复杂数据的模型的计算模拟;(5)神经工程方法,包括硬件、机器人和信息理论研究。
1539-2791SCIE/Scopus收录
3.1
2.7
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
医学3区
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS 计算机:跨学科应用
4区
NEUROSCIENCES 神经科学
4区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
SCIE
Q2
80/177
学科:NEUROSCIENCES
SCIE
Q2
134/314
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
SCIE
Q3
90/177
学科:NEUROSCIENCES
SCIE
Q3
186/314
51
41
14%较难>12周,或约稿-医学-计算机:跨学科应用
3.2%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
90.24%42.86%-
CiteScore:6.70
SJR:0.927
SNIP:1.031
学科类别分区排名百分位
大类:Computer Science
小类:Information Systems
Q2
120 / 474
大类:Computer Science
小类:Software
Q2
133 / 490
大类:Computer Science
小类:General Neuroscience
Q2
36 / 111

期刊高被引文献

Handling Multiplicity in Neuroimaging Through Bayesian Lenses with Multilevel Modeling
来源期刊:NeuroinformaticsDOI:10.1007/s12021-018-9409-6
NengoDL: Combining Deep Learning and Neuromorphic Modelling Methods
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09424-z
3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09419-w
Fast and Precise Hippocampus Segmentation Through Deep Convolutional Neural Network Ensembles and Transfer Learning
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09417-y
Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09418-x
Cellular Automata Tractography: Fast Geodesic Diffusion MR Tractography and Connectivity Based Segmentation on the GPU
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09425-y
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-9415-3
Imputation Strategy for Reliable Regional MRI Morphological Measurements
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09426-x
Fully-Automated Identification of Imaging Biomarkers for Post-Operative Cerebellar Mutism Syndrome Using Longitudinal Paediatric MRI
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09427-w
A Novel 2D Standard Cartesian Representation for the Human Sensorimotor Cortex
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09441-y
Inter-Network High-Order Functional Connectivity (IN-HOFC) and its Alteration in Patients with Mild Cognitive Impairment
来源期刊:NeuroinformaticsDOI:10.1007/s12021-018-9413-x
DisConICA: a Software Package for Assessing Reproducibility of Brain Networks and their Discriminability across Disorders
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09422-1
Zeffiro User Interface for Electromagnetic Brain Imaging: a GPU Accelerated FEM Tool for Forward and Inverse Computations in Matlab
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09436-9
Fallacies of Mice Experiments
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09420-3
Identifying Weak Signals in Inhomogeneous Neuronal Images for Large-Scale Tracing of Sparsely Distributed Neurites
来源期刊:NeuroinformaticsDOI:10.1007/s12021-018-9414-9
Response to “Fallacies of Mice Experiments”
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09433-y
Brain-Wide Shape Reconstruction of a Traced Neuron Using the Convex Image Segmentation Method
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09434-x
Automated Brain Region Segmentation for Single Cell Resolution Histological Images Based on Markov Random Field
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09432-z
A Large Deformation Diffeomorphic Framework for Fast Brain Image Registration via Parallel Computing and Optimization
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09438-7
Diverse Community Structures in the Neuronal-Level Connectome of the Drosophila Brain
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09443-w
Functional Parcellation of Individual Cerebral Cortex Based on Functional MRI
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09445-8
Web Application for Quantification of Traumatic Brain Injury-Induced Cortical Lesions in Adult Mice
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09444-9
A Data Structure for Real-Time Aggregation Queries of Big Brain Networks
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09428-9
Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09416-z
A Comprehensive Framework to Capture the Arcana of Neuroimaging Analysis
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09430-1
Atlas-Based Classification Algorithms for Identification of Informative Brain Regions in fMRI Data
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09435-w
Correction to: PyPNS: Multiscale Simulation of a Peripheral Nerve in Python
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09421-2
Hierarchical Structured Sparse Learning for Schizophrenia Identification
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09423-0
MEAnalyzer – a Spike Train Analysis Tool for Multi Electrode Arrays
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09431-0
Turning the Tide of Data Sharing
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09437-8
Stochastic Rank Aggregation for the Identification of Functional Neuromarkers
来源期刊:NeuroinformaticsDOI:10.1007/s12021-018-9412-y
Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging
来源期刊:NeuroinformaticsDOI:10.1007/s12021-019-09442-x

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