O. Torbaniuk

498 total citations
10 papers, 53 citations indexed

About

O. Torbaniuk is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Ecology. According to data from OpenAlex, O. Torbaniuk has authored 10 papers receiving a total of 53 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Astronomy and Astrophysics, 4 papers in Nuclear and High Energy Physics and 2 papers in Ecology. Recurrent topics in O. Torbaniuk's work include Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysical Phenomena and Observations (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). O. Torbaniuk is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (10 papers), Astrophysical Phenomena and Observations (5 papers) and Astrophysics and Cosmic Phenomena (4 papers). O. Torbaniuk collaborates with scholars based in Ukraine, Italy and Spain. O. Torbaniuk's co-authors include M. Paolillo, S. Cavuoti, G. Longo, C. Vignali, James Aird, F. J. Carrera, O. Sergijenko, R. D’Abrusco, D. V. Dobrycheva and M. Boquien and has published in prestigious journals such as The Astrophysical Journal, Monthly Notices of the Royal Astronomical Society and Astronomy and Astrophysics.

In The Last Decade

O. Torbaniuk

7 papers receiving 42 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
O. Torbaniuk Ukraine 5 50 17 15 5 3 10 53
Abhijeet Anand Germany 4 57 1.1× 15 0.9× 20 1.3× 2 0.4× 4 1.3× 5 66
L. F. Secco United States 5 52 1.0× 17 1.0× 14 0.9× 3 0.6× 2 0.7× 5 56
Anil Dosaj United States 4 82 1.6× 17 1.0× 19 1.3× 2 0.4× 3 1.0× 7 83
A. Ellien Netherlands 4 51 1.0× 10 0.6× 26 1.7× 4 0.8× 3 1.0× 7 55
J. Ridl Germany 5 78 1.6× 33 1.9× 16 1.1× 4 0.8× 2 0.7× 5 79
Nicolas Clerc Germany 3 50 1.0× 16 0.9× 17 1.1× 4 0.8× 1 0.3× 7 54
J.‐B. Melin France 4 51 1.0× 18 1.1× 20 1.3× 2 0.4× 2 0.7× 7 54
S Bhargava United Kingdom 4 49 1.0× 14 0.8× 23 1.5× 3 0.6× 2 0.7× 5 58
V. Lindholm Finland 3 56 1.1× 21 1.2× 20 1.3× 2 0.4× 3 1.0× 4 59
E. Artis France 4 40 0.8× 15 0.9× 18 1.2× 3 0.6× 3 1.0× 12 44

Countries citing papers authored by O. Torbaniuk

Since Specialization
Citations

This map shows the geographic impact of O. Torbaniuk's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by O. Torbaniuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O. Torbaniuk more than expected).

Fields of papers citing papers by O. Torbaniuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O. Torbaniuk. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by O. Torbaniuk. The network helps show where O. Torbaniuk may publish in the future.

Co-authorship network of co-authors of O. Torbaniuk

This figure shows the co-authorship network connecting the top 25 collaborators of O. Torbaniuk. A scholar is included among the top collaborators of O. Torbaniuk based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with O. Torbaniuk. O. Torbaniuk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Heng, Kevin, S. Cavuoti, M. Brescia, et al.. (2024). Galaxy Spectroscopy without Spectra: Galaxy Properties from Photometric Images with Conditional Diffusion Models. The Astrophysical Journal. 977(1). 131–131. 3 indexed citations
2.
Yang, Guang, et al.. (2023). X-ray luminosity-star formation rate scaling relation: Constraints from the eROSITA Final Equatorial Depth Survey (eFEDS). Astronomy and Astrophysics. 678. A164–A164. 10 indexed citations
3.
Torbaniuk, O., M. Paolillo, R. D’Abrusco, et al.. (2023). Probing supermassive black hole growth and its dependence on stellar mass and star formation rate in low-redshift galaxies. Monthly Notices of the Royal Astronomical Society. 527(4). 12091–12108. 5 indexed citations
4.
Torbaniuk, O., S. Cavuoti, M. Paolillo, et al.. (2022). ulisse: A tool for one-shot sky exploration and its application for detection of active galactic nuclei. Astronomy and Astrophysics. 666. A171–A171. 4 indexed citations
5.
Torbaniuk, O., M. Paolillo, F. J. Carrera, et al.. (2021). The connection between star formation and supermassive black hole activity in the local Universe. Monthly Notices of the Royal Astronomical Society. 506(2). 2619–2637. 19 indexed citations
6.
Torbaniuk, O.. (2016). Influence of the continuum determination method on the mean transmission in the Lyα forest. The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine). 6(1). 34–40.
7.
Vavilova, I. B., et al.. (2015). The astrocosmic databases for multi-wavelength and cosmological properties of extragalactic sources. Kosmìčna nauka ì tehnologìâ. 21(5(96)). 94–107. 6 indexed citations
8.
Torbaniuk, O., et al.. (2013). Dependence of equivalent width of quasar emission lines on UV-optical spectral index. Proceedings of the International Astronomical Union. 9(S304). 282–283.
9.
Sergijenko, O., et al.. (2013). Composite spectra of quasars with different UV spectral index. Monthly Notices of the Royal Astronomical Society. 437(4). 3343–3361. 6 indexed citations
10.
Sergijenko, O., et al.. (2013). Improved technique for quasar composite spectra generation. 7–7.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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