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verified SJR 0,271 · Q3 • database Scopus / SJR & Web of Science indexed
Bulletin of the Polish Academy of Sciences: Technical Sciences
Poland · Polish Academy of Sciences
workspace_premium Q3 — Atomic and Molecular Physics, and Optics visibility_off Double blind peer review lock_open Open Access

Bulletin of the Polish Academy of Sciences: Technical Sciences

Bulletin of the Polish Academy of Sciences: Technical Sciences is a journal indexed in SJR in Atomic and Molecular Physics, and Optics and Information Systems with an H index of 50. It is an CC BY-NC-ND Journal with a Double blind peer review review system, and It has a price of 282,9 €. The scope of the journal is focused on bioengineering, optoelectronics, photonics, informatics, nanotechnology. It has an SJR impact factor of 0,271 and it has a best quartile of Q3. It is published in English. It has an SJR impact factor of 0,271.

ISSN: 0239-7528
Publisher: Polish Academy of Sciences
Category: Atomic and Molecular Physics, and Optics
Indexation: verifiedScopus / SJR verifiedWeb of Science
open_in_new Portal NPD menu_book Author guidelines
schedule CountryOfPapers database fields
SJR Impact Factor trending_up
0,271 Q3
H-index 50
Acceptance rate pie_chart
32%
Source Acceptance_Rate
Time to publication hourglass_top
40 weeks
Field Average_time_publication_weeks
Publication cost (APC) payments
283 € Open Access
Non-OA path NPD

Metrics

Scimago and CountryOfPapers database fields

Scopus / SJR Web of Science

SJR Impact

0,271

H-index

50

Docs (year)

123

Docs 3y

408

Total refs

4106

Cites 3y

538

Citable 3y

402

Cites/Doc 2y

1.33

Ref/Doc

33.38

Immediate OA

282,9 €

Embargoed OA

NPD

Non OA / Submission

- €

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Cellular automata model of self-organizing traffic control in urban networks

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Boussinesq equation for flow in an aquifer with time dependent porosity

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Autonomous walking machines - discussion of the prototyping problems

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Asymptotic stability of positive fractional 2D linear systems

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Asymptotic stability of positive 2D linear systems with delays

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Application of uncertain variables to production planning in a class of manufacturing systems

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