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verified SJR 0,641 · Q2 • database Scopus / SJR & Web of Science indexed
Eksploatacja i Niezawodnosc
Poland · Polish Maintanace Society
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Eksploatacja i Niezawodnosc

Eksploatacja i Niezawodnosc is a journal indexed in SJR in Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality with an H index of 35. It has an SJR impact factor of 0,641 and it has a best quartile of Q2. It has an SJR impact factor of 0,641.

ISSN: 1507-2711
Publisher: Polish Maintanace Society
Category: Industrial and Manufacturing Engineering
Indexation: verifiedScopus / SJR verifiedWeb of Science
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schedule CountryOfPapers database fields
SJR Impact Factor trending_up
0,641 Q2
H-index 35
Acceptance rate pie_chart
36%
Source Acceptance_Rate
Time to publication hourglass_top
NPD
Field NPD
Publication cost (APC) payments
NPD Subscription
Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,641

H-index

35

Docs (year)

80

Docs 3y

240

Total refs

3246

Cites 3y

842

Citable 3y

240

Cites/Doc 2y

3.56

Ref/Doc

40.58

Immediate OA

—

Embargoed OA

NPD

Non OA / Submission

—

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Analysis of the bearing nodes loads of turbine engine at an unmanned helicopter during a jump up and jump down maneuver

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Zero-dimensional 2-phase combustion model in a dual-fuel compression ignition engine fed with gaseous fuel and a divided diesel fuel charge

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Determination the effect of factors affecting the tensile strength of fabric conveyor belts

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Cycle life prediction of lithium-ion cells under complex temperature profiles

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Competence allocation planning robust to unexpected staff absenteeism

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Comparison of operational availability of public city buses by analysis of variance

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Cluster analysis of knowledge workers assessment of occ upational threats and attitudes to character of work

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Assessment of the impact of dynamic states of an internal combustion engine on its operational properties

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Application of Support Vector Machine in the analysis of the technical state of development in the LGOM mining area

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Application of artificial neural networks and principal component analysis on vibration signals for automated fault classification of roller element bearings

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Anslysis of the surface condition of removed bone implants

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Analysis of the influence of the impact speed on the risk of injury of the driver and front passenger of a passenger car

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