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neural networks : the official journal of the international neural network society

ISSN 1879-2782· EN

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33.5 / 100
Journament Score
Poor
Ranked #14,427 of 29,324 scored journals (34,008 indexed)
55 Articles
Scores higher than 50.8% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name neural netw
Abbreviated Name neural netw
ISSN 1879-2782
URL http://www.elsevier.com/locate/neunet

Quality Profile

6 of 12 dimensions measured
Engagement 30.6
Accessibility 20.0
Timeliness 0.0
Innovation 70.0
Community Impact 6.4
Content Distribution 66.2
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

6 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 6 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.4
Accessibility 20.0 19.1
Timeliness 0.0 9.2
Diversity — 25.8
Innovation 70.0 27.4
Community Impact 6.4 7.8
Content Distribution 66.2 88.6
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (55)

2019
Recent advances in physical reservoir computing: A review.
Tanaka, Gouhei;Yamane, Toshiyuki;Héroux, Jean Benoit;Nakane, Ryosho;Kanazawa, Naoki;Takeda, Seiji;Numata, Hidetoshi;Nakano, Daiju;Hirose, Akira;
Vol. 115 , pp. 100-123
447 views DOI Abstract
2019
Semi-supervised distributed representations of documents for sentiment analysis.
Park, Saerom;Lee, Jaewook;Kim, Kyoungok;
Vol. 119 , pp. 139-150
439 views DOI Abstract
2015
cinnamon: potential role in the reduction of overweight, blood glucose and hyperlipidemia among type 2 diabetic patients through neurohormonal regulation from hypothalamus
;Aurelia CRIVOI;Saleh YAACOUBI
, No. 1 (81) , pp. -
424 views Abstract
2019
Integrating joint feature selection into subspace learning: A formulation of 2DPCA for outliers robust feature selection.
Razzak, Imran;Saris, Raghib Abu;Blumenstein, Michael;Xu, Guandong;
Vol. 121 , pp. 441-451
418 views DOI Abstract
2019
A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia.
Ieracitano, Cosimo;Mammone, Nadia;Hussain, Amir;Morabito, Francesco C;
Vol. 123 , pp. 176-190
396 views DOI Abstract
2020
A review on neural network models of schizophrenia and autism spectrum disorder.
Lanillos, Pablo;Oliva, Daniel;Philippsen, Anja;Yamashita, Yuichi;Nagai, Yukie;Cheng, Gordon;
Vol. 122 , pp. 338-363
373 views DOI Abstract
2019
A multimodal convolutional neuro-fuzzy network for emotion understanding of movie clips.
Nguyen, Tuan-Linh;Kavuri, Swathi;Lee, Minho;
Vol. 118 , pp. 208-219
365 views DOI Abstract
2019
Structured pruning of recurrent neural networks through neuron selection.
Wen, Liangjian;Zhang, Xuanyang;Bai, Haoli;Xu, Zenglin;
Vol. 123 , pp. 134-141
362 views DOI Abstract
2019
Multi-representation adaptation network for cross-domain image classification.
Zhu, Yongchun;Zhuang, Fuzhen;Wang, Jindong;Chen, Jingwu;Shi, Zhiping;Wu, Wenjuan;He, Qing;
Vol. 119 , pp. 214-221
343 views DOI Abstract
2019
Fixed-time synchronization of quaternion-valued memristive neural networks with time delays.
Wei, Ruoyu;Cao, Jinde;
Vol. 113 , pp. 1-10
342 views DOI Abstract
2020
Structural plasticity on an accelerated analog neuromorphic hardware system.
Billaudelle, Sebastian;Cramer, Benjamin;Petrovici, Mihai A;Schreiber, Korbinian;Kappel, David;Schemmel, Johannes;Meier, Karlheinz;
Vol. 133 , pp. 11-20
202 views DOI Abstract
2020
Self-grouping convolutional neural networks.
Guo, Qingbei;Wu, Xiao-Jun;Kittler, Josef;Feng, Zhiquan;
Vol. 132 , pp. 491-505
276 views DOI Abstract
2020
Low-rank tensor constrained co-regularized multi-view spectral clustering.
Xu, Huiling;Zhang, Xiangdong;Xia, Wei;Gao, Quanxue;Gao, Xinbo;
Vol. 132 , pp. 245-252
208 views DOI Abstract
2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds.
Kovalev, Maxim S;Utkin, Lev V;
Vol. 132 , pp. 1-18
252 views DOI Abstract
2020
Dendrite P systems.
Peng, Hong;Bao, Tingting;Luo, Xiaohui;Wang, Jun;Song, Xiaoxiao;Riscos-Núñez, Agustín;Pérez-Jiménez, Mario J;
Vol. 127 , pp. 110-120
43 views DOI Abstract
2020
Person Re-Identification with Feature Pyramid Optimization and Gradual Background Suppression.
Tang, Yingzhi;Yang, Xi;Wang, Nannan;Song, Bin;Gao, Xinbo;
Vol. 124 , pp. 223-232
160 views DOI Abstract
2020
Adaptive neural tree exploiting expert nodes to classify high-dimensional data.
Abpeikar, Shadi;Ghatee, Mehdi;Foresti, Gian Luca;Micheloni, Christian;
Vol. 124 , pp. 20-38
250 views DOI Abstract
2020
Bayesian deep matrix factorization network for multiple images denoising.
Xu, Shuang;Zhang, Chunxia;Zhang, Jiangshe;
Vol. 123 , pp. 420-428
265 views DOI Abstract
2020
A new fixed-time stability theorem and its application to the fixed-time synchronization of neural networks.
Chen, Chuan;Li, Lixiang;Peng, Haipeng;Yang, Yixian;Mi, Ling;Zhao, Hui;
Vol. 123 , pp. 412-419
250 views DOI Abstract
2020
A review on neural network models of schizophrenia and autism spectrum disorder.
Lanillos, Pablo;Oliva, Daniel;Philippsen, Anja;Yamashita, Yuichi;Nagai, Yukie;Cheng, Gordon;
Vol. 122 , pp. 338-363
373 views DOI Abstract
Journament Score
33.5/100 · Poor
Ranked #14,427 of 29,324 scored
(34,008 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

33.5/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.6/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

20.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

Not yet measured

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

70.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

6.4/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

66.2/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.