computer methods in applied mechanics and engineering | Journament

Journal Ranking

#6726 / 33,972
📉 Poor
Overall Score
38.7/100
Score Breakdown
Engagement
31
Accessibility
15
Timeliness
50
Diversity
30
Innovation
40
Community Impact
35
Ethics & Transparency
0
Content Quality
0
Editorial Diversity
0
Publication Regularity
0
Geographic Reach
0
Updated 1 week ago

computer methods in applied mechanics and engineering

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Indexings
scopus ulakbim sci
Short Name computer methods in applied mechanics and engineering
Abbreviated Name computer methods in applied mechanics and engineering
ISSN 0045-7825
Aim and Scope
URL
Author Instructions

Publications Per Year

Recent Articles (15 total)

2020
Machine learning in cardiovascular flows modeling: Predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
Kissas, G.
Vol. 358 , pp. 0-0
305 views DOI
2020
Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling
Guzzetti, S.
Vol. 358 , pp. 0-0
300 views DOI
2019
Topology optimization of metasurfaces for anomalous reflection of longitudinal elastic waves
Ahn, B.
Vol. 357 , pp. 0-0
287 views DOI
2019
Computational modeling of localized failure in solids: XFEM vs PF-CZM
Wu, J.
Vol. 345 , pp. 618-643
233 views DOI
1999
Numerical simulation of Weissenberg phenomena – the rod-climbing of viscoelastic fluids
X.-L. Luo;X.-L. Luo;
Vol. 180 , No. 3 , pp. 393-412
221 views DOI
2020
3D concurrent multiscale model for crack propagation in concrete
Rodrigues, E.
Vol. 361 , pp. 0-0
211 views DOI
2020
A resolved CFD–DEM approach for the simulation of landslides and impulse waves
Mao, J.
Vol. 359 , pp. 0-0
205 views DOI
2019
A microstructural model for homogenisation and cracking of piezoelectric polycrystals
Benedetti, I.
Vol. 357 , pp. 0-0
204 views DOI
2020
3D volumetric isotopological meshing for finite element and isogeometric based reduced order modeling
Maquart, T.
Vol. 362 , pp. 0-0
184 views DOI
2020
Data-driven reduced order model with temporal convolutional neural network
Wu, P.
Vol. 360 , pp. 0-0
173 views DOI
View All 15 Articles
39
Overall
Poor
31
15
30
40
35
50
0
0
0
0
0
Journament

Overall Quality Score

38.7/100

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

31.4/100

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

35.0/100

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.