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international journal of advanced manufacturing technology

ISSN 0268-3768· EN

Journal Website Certificate of Indexing
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24.7 / 100
Journament Score
Poor
Ranked #27,841 of 29,341 scored journals (33,995 indexed)
26 Articles
Scores higher than 5.1% 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 international journal of advanced manufacturing technology
Abbreviated Name international journal of advanced manufacturing technology
ISSN 0268-3768
URL http://www.springer.com/170

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 30.8 30.1
Accessibility 20.0 17.9
Timeliness 0.0 19.2
Diversity 31.5 28.8
Innovation 1.5 31.2
Community Impact 4.3 13.4
Content Distribution 72.1 88.4
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (26)

2019
Short-circuit avoidance in electrochemical machining based on polarization voltage during pulse off time
Chen, W.
Vol. 102 , pp. 2531-2539
306 views DOI
2019
Tool electrode wear compensation in block divided EDM process for improving accuracy of diffuser shaped film cooling holes
Liang, W.
Vol. 103 , pp. 1759-1767
277 views DOI
2019
Feasibility study of manufacturing microgrooves on beryllium with electrochemical machining
Bai, J.
Vol. 103 , pp. 4553-4562
276 views DOI
2019
Performance analysis and comparison of machine learning algorithms for predicting nugget width of resistance spot welding joints
Zamanzad, Gavidel S.
Vol. 105 , pp. 3779-3796
275 views DOI
2019
An analytical model for cutter-workpiece engagement calculation in ball-end finish milling of doubly curved surfaces
Ghorbani, M.
Vol. 102 , pp. 1635-1657
269 views DOI
2019
Experiment investigation of using wire electrochemical machining in deionized water to reduce the wire electrical discharge machining surface roughness
Wu, X.
Vol. 102 , pp. 343-353
261 views DOI
2019
Research on the combined electrochemical machining and electrical discharge machining technology for closed integer impeller
Tang, L.
Vol. 102 , pp. 3419-3429
255 views DOI
2018
Optimal riser design method based on geometric reasoning method and fruit fly optimization algorithm in CAD
Wang, T.
Vol. 96 , pp. 53-65
250 views DOI
2019
Investigating the effect of carbon steel STKM 13a thermal and electrical properties during welding assembly of the lower brackets of a rail car
Daniyan, I.
Vol. 102 , pp. 43-53
248 views DOI
2019
A new way to predict the mechanical properties of friction stir spot welding for Al-Cu joints by energy analysis of the vibration signals
de, la Parte M.
Vol. 105 , pp. 1823-1834
231 views DOI
2020
Sensor placement methodology for spindle thermal compensation of machine tools
Tsai, P.C.
Vol. 106 , pp. 5429-5440
159 views DOI
2020
Influence of welding parameters on macrostructural and thermomechanical properties in micro friction stir spot welded under high-speed tool rotation
Baskoro, A.
Vol. 106 , pp. 163-175
200 views DOI
2020
Sand casting of sheet lead: numerical simulation of metal flow and solidification
Prabhakar, A.
Vol. 106 , pp. 177-189
131 views DOI
2019
Physical simulation of investment casting for GTD-222 Ni-based superalloy processed by controlled cooling rates
Yu, J.
Vol. 105 , pp. 3531-3542
197 views DOI
2019
A new way to predict the mechanical properties of friction stir spot welding for Al-Cu joints by energy analysis of the vibration signals
de, la Parte M.
Vol. 105 , pp. 1823-1834
231 views DOI
2019
Performance analysis and comparison of machine learning algorithms for predicting nugget width of resistance spot welding joints
Zamanzad, Gavidel S.
Vol. 105 , pp. 3779-3796
275 views DOI
2019
Comparison of assembly-jam learning algorithms with fuzzy entropy measure for intelligent robot’s part micro-assembly
Son, C.
Vol. 104 , pp. 3473-3488
126 views DOI
2019
Research on shaping law in electrochemical machining for the leading/trailing edge of the blade
Zhu, D.
Vol. 102 , pp. 559-565
203 views DOI
2019
Experiment investigation of using wire electrochemical machining in deionized water to reduce the wire electrical discharge machining surface roughness
Wu, X.
Vol. 102 , pp. 343-353
261 views DOI
2019
Short-circuit avoidance in electrochemical machining based on polarization voltage during pulse off time
Chen, W.
Vol. 102 , pp. 2531-2539
306 views DOI
Journament Score
24.7/100 · Poor
Ranked #27,841 of 29,341 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

24.7/100

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

30.8/100

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

31.5/100

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

1.5/100

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

4.3/100

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

72.1/100

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.