Astroinformation resource of the Ukrainian virtual observatory: Joint observational data archive, scientific tasks, and software IB Vavilova, LK Pakulyak, AA Shlyapnikov, YI Protsyuk, VE Savanevich, ... Kinematics and Physics of Celestial Bodies 28, 85-102, 2012 | 123 | 2012 |
The XPM Catalogue: absolute proper motions of 280 million stars PN Fedorov, AA Myznikov, VS Akhmetov Monthly Notices of the Royal Astronomical Society 393 (1), 133-138, 2009 | 71 | 2009 |
Residual rotation of the Hipparcos/Tycho-2 system as determined from the data of the XPM catalogue PN Fedorov, VS Akhmetov, VV Bobylev Monthly Notices of the Royal Astronomical Society 416 (1), 403-408, 2011 | 36 | 2011 |
The PMA Catalogue: 420 million positions and absolute proper motions VS Akhmetov, PN Fedorov, AB Velichko, VM Shulga Monthly Notices of the Royal Astronomical Society 469 (1), 763-773, 2017 | 28 | 2017 |
New approach for pixelization of big astronomical data for machine vision purpose V Akhmetov, S Khlamov, I Tabakova, W Hernandez, JIN Hipolito, ... 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE …, 2019 | 27 | 2019 |
CoLiTecVS software for the automated reduction of photometric observations in CCD-frames VE Savanevych, SV Khlamov, VS Akhmetov, AB Briukhovetskyi, ... Astronomy and Computing 40, 100605, 2022 | 25 | 2022 |
Fast coordinate cross-match tool for large astronomical catalogue V Akhmetov, S Khlamov, A Dmytrenko Conference on Computer Science and Information Technologies, 3-16, 2018 | 25 | 2018 |
An investigation of the absolute proper motions of the XPM catalogue PN Fedorov, VS Akhmetov, VV Bobylev, AT Bajkova Monthly Notices of the Royal Astronomical Society 406 (3), 1734-1744, 2010 | 25 | 2010 |
Cloud computing analysis of Indian ASAT test on March 27, 2019 V Akhmetov, S Khlamov, V Savanevych, E Dikov 2019 IEEE International Scientific-Practical Conference Problems of …, 2019 | 24 | 2019 |
Candidate subdwarfs and white dwarfs from the 2MASS, Tycho-2, XPM and UCAC3 catalogues GA Gontcharov, AT Bajkova, PN Fedorov, VS Akhmetov Monthly Notices of the Royal Astronomical Society 413 (3), 1581-1599, 2011 | 23 | 2011 |
Astrometric reduction of the wide-field images V Akhmetov, S Khlamov, V Khramtsov, A Dmytrenko Conference on Computer Science and Information Technologies, 896-909, 2019 | 21 | 2019 |
The XPM catalogue as a realization of the ICRS in optical and near-infrared ranges of wavelengths PN Fedorov, VS Akhmetov, VV Bobylev, GA Gontcharov Monthly Notices of the Royal Astronomical Society 415 (1), 665-672, 2011 | 20 | 2011 |
Deep learning for morphological classification of galaxies from SDSS V Khramtsov, DV Dobrycheva, MY Vasylenko, VS Akhmetov Odessa Astronomical Publications 32, 21-23, 2019 | 14 | 2019 |
Selection of the reference stars for astrometric reduction of CCD-frames V Savanevych, V Akhmetov, S Khlamov, E Dikov, A Briukhovetskyi, ... Conference on Computer Science and Information Technologies, 881-895, 2019 | 13 | 2019 |
Testing stellar proper motions of TGAS stars using data from the HSOY, UCAC5 and PMA catalogues PN Fedorov, VS Akhmetov, AB Velichko Monthly Notices of the Royal Astronomical Society 476 (2), 2743-2750, 2018 | 13 | 2018 |
The reference frame for the XPM2 PN Fedorov, VS Akhmetov, VM Shulga Monthly Notices of the Royal Astronomical Society 440 (1), 624-630, 2014 | 12 | 2014 |
Kinematics of the Milky Way from the Gaia EDR3 red giants and subgiants PN Fedorov, VS Akhmetov, AB Velichko, AM Dmytrenko, SI Denischenko Monthly Notices of the Royal Astronomical Society 508 (2), 3055-3067, 2021 | 10 | 2021 |
Kinematics of main-sequence stars from the Gaia DR2 and PMA proper motions AB Velichko, PN Fedorov, VS Akhmetov Monthly Notices of the Royal Astronomical Society 494 (1), 1430-1447, 2020 | 9 | 2020 |
Dynamical model of an obscuring clumpy torus in AGNs–I. Velocity and velocity dispersion maps for interpretation of ALMA observations EY Bannikova, AV Sergeyev, NA Akerman, PP Berczik, MV Ishchenko, ... Monthly Notices of the Royal Astronomical Society 503 (1), 1459-1472, 2021 | 8 | 2021 |
Machine learning technique for morphological classification of galaxies from the SDSS. III. Image-based inference of detailed features V Khramtsov, IB Vavilova, DV Dobrycheva, MY Vasylenko, OV Melnyk, ... arXiv preprint arXiv:2209.12194, 2022 | 7 | 2022 |