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neural computing and applications

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22.1 / 100
Journament Score
Poor
Ranked #28,344 of 29,312 scored journals (34,012 indexed)
18 Articles
Scores higher than 3.3% 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 computing and applications
Abbreviated Name neural computing and applications

Quality Profile

6 of 12 dimensions measured
Engagement 30.3
Timeliness 0.0
Diversity 5.6
Innovation 19.5
Community Impact 1.4
Content Distribution 67.3
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 30.3 30.4
Accessibility — 20.4
Timeliness 0.0 5.8
Diversity 5.6 24.4
Innovation 19.5 25.7
Community Impact 1.4 5.8
Content Distribution 67.3 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 (18)

2016
stepwise synthesis of mesoporous carbon nitride functionalized by melamine based dendrimer amines for adsorption of co2 and ch4
;Mansoor Anbia;Mohammad Javad Habibi;Mojgan Haghsenas;Majideh Babaei
Vol. 49 , No. 2 , pp. 64-71
355 views DOI Abstract
2019
Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm
Ma, C.
Vol. 31 , pp. 2073-2083
337 views DOI
2019
Predicting hourly ozone concentrations using wavelets and ARIMA models
Salazar, L.
Vol. 31 , pp. 4331-4340
314 views DOI
2017
multiscale evaluation of the nonlinear elastic properties of carbon nanotubes under finite deformation
;Abolfazl Shahabodini;Reza Ansari;Mansour Darvizeh
Vol. 50 , No. 1 , pp. 60-80
298 views DOI Abstract
2013
optical properties of zno nanowires and nanorods synthesized by two step oxidation process
;Vahid ghafouri;Mohsen Shariati;Akbar Ebrahimzad
Vol. 46 , No. 1 , pp. 19-24
296 views DOI Abstract
2010
A comparative survey of artificial intelligence applications in finance: Artificial neural networks, expert system and hybrid intelligent systems
Bahrammirzaee, A.
Vol. 19 , pp. 1165-1195
286 views DOI
2015
review on ultrafined/nanostructured magnesium alloys produced through severe plastic deformation: microstructures
;Mahmood Fatemi;Abbas Zarei-Hanzaki
Vol. 48 , No. 2 , pp. 69-83
264 views DOI Abstract
2020
Deep neural network-based predictive modeling of road accidents
Singh, G.
, pp. 0-0
251 views DOI
2020
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Ali, L.
, pp. 0-0
247 views DOI
2019
Enrichment of accurate software effort estimation using fuzzy-based function point analysis in business data analytics
Frank, Vijay J.
Vol. 31 , pp. 1633-1639
234 views DOI
2022
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
Apu Sarkar; Sabbir Hossain; Ram Sarkar
102 views DOI
2021
Optimizing a two-level closed-loop supply chain under the vendor managed inventory contract and learning: Fibonacci, GA, IWO, MFO algorithms
Fatemeh Keshavarz-Ghorbani;Seyed Hamid Reza Pasandideh;
Vol. 33 , No. 15 , pp. -
86 views DOI Abstract
2020
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Ali, L.
, pp. 0-0
247 views DOI
2020
Deep neural network-based predictive modeling of road accidents
Singh, G.
, pp. 0-0
251 views DOI
2020
Multi-way matching based fine-grained sentiment analysis for user reviews
Guo, X.
, pp. 0-0
163 views DOI
2019
Regression trees modeling of time series for air pollution analysis and forecasting
Gocheva-Ilieva, S.
Vol. 31 , pp. 9023-9039
101 views DOI
2019
Predicting hourly ozone concentrations using wavelets and ARIMA models
Salazar, L.
Vol. 31 , pp. 4331-4340
314 views DOI
2019
Enrichment of accurate software effort estimation using fuzzy-based function point analysis in business data analytics
Frank, Vijay J.
Vol. 31 , pp. 1633-1639
234 views DOI
2019
Malware detection based on deep learning algorithm
Yuxin, D.
Vol. 31 , pp. 461-472
194 views DOI
2019
Green wave traffic control system optimization based on adaptive genetic-artificial fish swarm algorithm
Ma, C.
Vol. 31 , pp. 2073-2083
337 views DOI
Journament Score
22.1/100 · Poor
Ranked #28,344 of 29,312 scored
(34,012 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

22.1/100

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

30.3/100

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

Not yet measured

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

5.6/100

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

19.5/100

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

1.4/100

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

67.3/100

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.