neural computing and applications | Journament

Journal Ranking

#3735 / 33,958
📉 Poor
Overall Score
37.9/100
Score Breakdown
Engagement
30
Accessibility
15
Timeliness
50
Diversity
30
Innovation
40
Community Impact
34
Ethics & Transparency
0
Content Quality
0
Editorial Diversity
0
Publication Regularity
0
Geographic Reach
0
Updated 1 week ago

neural computing and applications

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Indexings
scopus
Short Name neural computing and applications
Abbreviated Name neural computing and applications
ISSN
Aim and Scope
URL
Author Instructions

Publications Per Year

Recent Articles (18 total)

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
327 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
315 views DOI
2019
Predicting hourly ozone concentrations using wavelets and ARIMA models
Salazar, L.
Vol. 31 , pp. 4331-4340
280 views DOI
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
260 views DOI
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
250 views DOI Abstract
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
240 views DOI Abstract
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
239 views DOI Abstract
2020
Deep neural network-based predictive modeling of road accidents
Singh, G.
, pp. 0-0
230 views DOI
2020
LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine
Ali, L.
, pp. 0-0
222 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
210 views DOI
View All 18 Articles
38
Overall
Poor
30
15
30
40
34
50
0
0
0
0
0
Journament

Overall Quality Score

37.9/100

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

30.2/100

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

15.0/100

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

30.0/100

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

40.0/100

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

34.0/100

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

50.0/100

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

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

Ethics & Transparency Score

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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

0.0/100

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.