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Computational Intelligence and Neuroscience

ISSN 1687-5273· EN

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36.4 / 100
Journament Score
Poor
Ranked #5,564 of 29,312 scored journals (34,012 indexed)
57 Articles
Scores higher than 81% 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 Computational Intelligence and Neuroscience
Abbreviated Name computational intelligence and neuroscience
ISSN 1687-5273
URL https://www.hindawi.com/journals/cin

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.7 30.4
Accessibility 20.0 20.4
Timeliness 0.0 5.8
Diversity 57.4 24.4
Innovation 70.0 25.7
Community Impact 8.6 5.8
Content Distribution 58.3 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 (57)

2007
Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation
Halder, Sebastian;Bensch, Michael;Mellinger, Jürgen;Bogdan, Martin;Kübler, Andrea;Birbaumer, Niels;Rosenstiel, Wolfgang;
Vol. 2007 , pp. -
536 views Abstract
2019
Improved Bat Algorithm Based on Multipopulation Strategy of Island Model for Solving Global Function Optimization Problem.
Guo, Sha-Sha;Wang, Jie-Sheng;Ma, Xiao-Xu;
Vol. 2019 , pp. 6068743
458 views DOI Abstract
2019
Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning.
Ly, Ngoc Q;Do, Tuong K;Nguyen, Binh X;
Vol. 2019 , pp. 1483294
453 views DOI Abstract
2007
Removing Ocular Movement Artefacts by a Joint Smoothened Subspace Estimator
Phlypo, Ronald;Boon, Paul;D'Asseler, Yves;Lemahieu, Ignace;
Vol. 2007 , pp. -
444 views Abstract
2007
A Novel Constrained Topographic Independent Component Analysis for Separation of Epileptic Seizure Signals
Jing, Min;Sanei, Saeid;
Vol. 2007 , pp. -
432 views Abstract
2019
Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition
Hansen, Sofie Therese;Hemakom, Apit;Gylling Safeldt, Mads;Krohne, Lærke Karen;Madsen, Kristoffer Hougaard;Siebner, Hartwig R.;Mandic, Danilo P.;Hansen, Lars Kai;Hansen, Sofie Therese;Hemakom, Apit;Gylling Safeldt, Mads;Krohne, Lærke Karen;Madsen, Kristoffer Hougaard;Siebner, Hartwig R.;Mandic, Danilo P.;Hansen, Lars Kai;
Vol. 2019
426 views DOI Abstract
2019
Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control.
Gao, Qiang;Zhang, Yuxin;Wang, Zhe;Dong, Enzeng;Song, Xiaolin;Song, Yu;
Vol. 2019 , pp. 2361282
420 views DOI Abstract
2019
Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm
Dahou, Abdelghani;Elaziz, Mohamed Abd;Zhou, Junwei;Xiong, Shengwu;Dahou, Abdelghani;Elaziz, Mohamed Abd;Zhou, Junwei;Xiong, Shengwu;
Vol. 2019
420 views DOI Abstract
2018
Corrigendum to: A composite model of wound segmentation based on traditional methods and deep neural networks (Computational Intelligence and Neuroscience (2018) (4149103) DOI: 10.1155/2018/4149103)
Li, F.
Vol. 2018 , pp. 0-0
409 views DOI
2019
Computational intelligence and neuroscience in neurorobotics
Kaitwanidvilai, S.
Vol. 2019 , pp. 0-0
378 views DOI
2022
Single Neuron for Solving XOR like Nonlinear Problems
Mishra, Ashutosh;Cha, Jaekwang;Kim, Shiho;
Vol. 2022 , pp. 1-11
43 views DOI
2022
Analysis of the Relationship between Transformational Leadership and Educational Management in Higher Education Based on Deep Learning.
Meng, Haiying;
Vol. 2022 , pp. 5287922
59 views DOI Abstract
2021
Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm.
Wang, Fang
Vol. 2021 , pp. 6232987
40 views DOI Abstract
2019
Incoming Work-In-Progress Prediction in Semiconductor Fabrication Foundry Using Long Short-Term Memory.
Tin, Tze Chiang;Chiew, Kang Leng;Phang, Siew Chee;Sze, San Nah;Tan, Pei San;
Vol. 2019 , pp. 8729367
309 views DOI Abstract
2019
Channel Projection-Based CCA Target Identification Method for an SSVEP-Based BCI System of Quadrotor Helicopter Control.
Gao, Qiang;Zhang, Yuxin;Wang, Zhe;Dong, Enzeng;Song, Xiaolin;Song, Yu;
Vol. 2019 , pp. 2361282
420 views DOI Abstract
2019
Consumer Behaviour through the Eyes of Neurophysiological Measures: State-of-the-Art and Future Trends.
Cherubino, Patrizia;Martinez-Levy, Ana C;Caratù, Myriam;Cartocci, Giulia;Di Flumeri, Gianluca;Modica, Enrica;Rossi, Dario;Mancini, Marco;Trettel, Arianna;
Vol. 2019 , pp. 1976847
279 views DOI Abstract
2019
Stock Market Forecasting Using Restricted Gene Expression Programming.
Yang, Bin;Zhang, Wei;Wang, Haifeng;
Vol. 2019 , pp. 7198962
194 views DOI Abstract
2019
Concurrent, Performance-Based Methodology for Increasing the Accuracy and Certainty of Short-Term Neural Prediction Systems
Milić, Miljana;Milojković, Jelena;Marković, Ivan;Nikolić, Petar;
Vol. 2019 , pp. -
369 views Abstract
2019
A Stacked BiLSTM Neural Network Based on Coattention Mechanism for Question Answering.
Cai, Linqin;Zhou, Sitong;Yan, Xun;Yuan, Rongdi;
Vol. 2019 , pp. 9543490
338 views DOI Abstract
2019
Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning.
Ly, Ngoc Q;Do, Tuong K;Nguyen, Binh X;
Vol. 2019 , pp. 1483294
453 views DOI Abstract
Journament Score
36.4/100 · Poor
Ranked #5,564 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

36.4/100

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

30.7/100

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

57.4/100

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

8.6/100

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

58.3/100

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.