studies in computational intelligence | Journament

Journal Ranking

#750 / 33,956
📊 Below Average
Overall Score
42.1/100
Score Breakdown
Engagement
30
Accessibility
35
Timeliness
50
Diversity
30
Innovation
40
Community Impact
37
Ethics & Transparency
0
Content Quality
0
Editorial Diversity
0
Publication Regularity
0
Geographic Reach
0
Updated 2 weeks ago

studies in computational intelligence

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Indexings
scopus
Short Name studies in computational intelligence
Abbreviated Name studies in computational intelligence
ISSN
Aim and Scope
URL https://www.springer.com/series/7092
Author Instructions

Publications Per Year

Recent Articles (108 total)

2020
An Artificial Intelligence Approach for Enhancing Trust Between Social IoT Devices in a Network
Senthil, Kumar J.
Vol. 846 , pp. 183-196
366 views DOI
2020
Speech activity detection for deaf people: Evaluation on the developed smart solution prototype
Berger, A.
Vol. 830 , pp. 55-66
354 views DOI
2020
Crop yield estimation using decision trees and random forest machine learning algorithms on data from Terra (EOS AM-1) & Aqua (EOS PM-1) satellite data
Bhatnagar, R.
Vol. 836 , pp. 107-124
350 views DOI
2020
Norm-referenced Criteria for Strength of the Upper Limbs for the Korean High School Baseball Players Using Computer Assisted Isokinetic Equipment
Kim, S.
Vol. 844 , pp. 115-126
300 views DOI
2020
Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages
Lu, X.
Vol. 843 , pp. 169-176
281 views DOI
2020
Multiscale satellite image classification using deep learning approach
Laban, N.
Vol. 836 , pp. 165-186
279 views DOI
2020
Particle swarm optimization: Theory, literature review, and application in airfoil design
Mirjalili, S.
Vol. 811 , pp. 167-184
269 views DOI
2020
Machine learning in satellites monitoring and risk challenges
Alielden, K.
Vol. 836 , pp. 17-38
269 views DOI
2020
Structural Relationship Data Analysis Between Relational Variables and Benefit Sharing: Moderating Effect of Transaction-Specific Investment
Pyun, H.
Vol. 845 , pp. 161-173
267 views DOI
2020
Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images
Vente, D.
Vol. 843 , pp. 57-68
267 views DOI
View All 108 Articles
42
Overall
Below Average
30
35
30
40
37
50
0
0
0
0
0
Journament

Overall Quality Score

42.1/100

Tier: Below Average

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

35.0/100

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

36.5/100

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.