ISSN:
eISSN:
Disciplines
(Field of Science):
- architecture and urban planning (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 70 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 70 | Ministry scored journals list 2024 |
2023 | 70 | Ministry Scored Journals List |
2022 | 70 | Ministry Scored Journals List 2019-2022 |
2021 | 70 | Ministry Scored Journals List 2019-2022 |
2020 | 70 | Ministry Scored Journals List 2019-2022 |
2019 | 70 | Ministry Scored Journals List 2019-2022 |
2018 | 30 | A |
2017 | 30 | A |
2016 | 25 | A |
2015 | 25 | A |
2014 | 30 | A |
2013 | 25 | A |
2012 | 25 | A |
2011 | 25 | A |
2010 | 20 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 3.4 |
Year | Points |
---|---|
2023 | 3.4 |
2022 | 3 |
2021 | 2.9 |
2020 | 3.8 |
2019 | 3.9 |
2018 | 3.3 |
2017 | 2.1 |
2016 | 2.1 |
2015 | 2.9 |
2014 | 2.1 |
2013 | 2.3 |
2012 | 2 |
2011 | 1.6 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 4
Catalog Journals
Year 2019
-
Deformation Analysis of Geodetic Networks by Applying M split Estimation with Conditions Binding the Competitive Parameters
Publication -
New transition curve adapted to railway operational requirements
PublicationThe paper points to the limited possibilities of improving the existing situation in the area of transition curves used in geometrical layouts of the railway track. Difficulties in the practical implementation and maintenance of very small horizontal ordinates of the transition curve and the ordinates of the gradient due to cant in the initial section, appearing on smooth transition curves, were indicated. The main reason for this...
Year 2016
-
Shift-Msplit* Estimation in Deformation Analyses
Publication
Year 2015
-
New Approach to Arc Fitting for Railway Track Realignment
PublicationThis article presents a new method of arc fitting for railway track realignment. The theoretical foundations are presented, along with a detailed algorithm of the iterative computational process. This method is based on solving a set of linearized pseudo-observation equations. The formulas of the functional model of the fitting problem were derived, and a special form of objective function is proposed. An iterative method for optimization...
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