A. Elyiv

1.3k total citations
35 papers, 341 citations indexed

About

A. Elyiv is a scholar working on Astronomy and Astrophysics, Instrumentation and Nuclear and High Energy Physics. According to data from OpenAlex, A. Elyiv has authored 35 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Astronomy and Astrophysics, 9 papers in Instrumentation and 9 papers in Nuclear and High Energy Physics. Recurrent topics in A. Elyiv's work include Galaxies: Formation, Evolution, Phenomena (23 papers), Astronomy and Astrophysical Research (9 papers) and Remote Sensing in Agriculture (8 papers). A. Elyiv is often cited by papers focused on Galaxies: Formation, Evolution, Phenomena (23 papers), Astronomy and Astrophysical Research (9 papers) and Remote Sensing in Agriculture (8 papers). A. Elyiv collaborates with scholars based in Ukraine, Belgium and Italy. A. Elyiv's co-authors include I. B. Vavilova, D. Semikoz, A. Neronov, О. Melnyk, D. V. Dobrycheva, L. Chiappetti, M. Pierre, Francesco Miniati, N. Clerc and V. E. Karachentseva and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Astrophysical Journal and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

A. Elyiv

32 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Elyiv Ukraine 12 294 158 76 41 16 35 341
F. Brimioulle Germany 9 305 1.0× 44 0.3× 151 2.0× 30 0.7× 41 2.6× 10 320
Carlos E. Cunha United States 4 231 0.8× 35 0.2× 103 1.4× 37 0.9× 18 1.1× 5 244
Sandy M. Faber United States 4 235 0.8× 57 0.4× 98 1.3× 18 0.4× 21 1.3× 4 259
Robert H. Lupton United States 3 461 1.6× 60 0.4× 197 2.6× 64 1.6× 10 0.6× 3 467
Cristiano G. Sabiu South Korea 12 307 1.0× 100 0.6× 76 1.0× 20 0.5× 5 0.3× 24 330
W G Hartley United Kingdom 12 465 1.6× 50 0.3× 267 3.5× 58 1.4× 16 1.0× 16 509
Nicolás G. Busca France 11 369 1.3× 303 1.9× 76 1.0× 13 0.3× 11 0.7× 17 509
J. Carretero Spain 9 239 0.8× 28 0.2× 110 1.4× 36 0.9× 22 1.4× 16 262
Martin Eriksen Spain 11 205 0.7× 31 0.2× 83 1.1× 26 0.6× 30 1.9× 23 243
S. de la Torre France 10 303 1.0× 46 0.3× 160 2.1× 43 1.0× 7 0.4× 11 314

Countries citing papers authored by A. Elyiv

Since Specialization
Citations

This map shows the geographic impact of A. Elyiv'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 A. Elyiv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Elyiv more than expected).

Fields of papers citing papers by A. Elyiv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Elyiv. 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 A. Elyiv. The network helps show where A. Elyiv may publish in the future.

Co-authorship network of co-authors of A. Elyiv

This figure shows the co-authorship network connecting the top 25 collaborators of A. Elyiv. A scholar is included among the top collaborators of A. Elyiv 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 A. Elyiv. A. Elyiv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vavilova, I. B., et al.. (2022). Machine learning technique for morphological classification of galaxies from the SDSS. III. The CNN image-based inference of detailed features. Kosmìčna nauka ì tehnologìâ. 28(5). 27–55. 4 indexed citations
2.
Vavilova, I. B., et al.. (2022). Machine learning technique for morphological classification of galaxies from SDSS. II. The image-based morphological catalogs of galaxies at 0.02<z<0.1. Kosmìčna nauka ì tehnologìâ. 28(1). 3–22. 5 indexed citations
3.
Vavilova, I. B., et al.. (2021). Machine learning technique for morphological classification of galaxies from the SDSS. Springer Link (Chiba Institute of Technology). 6 indexed citations
4.
Vavilova, I. B., et al.. (2021). VizieR Online Data Catalog: SDSS galaxies morphological classification (Vavilova+, 2021). 1 indexed citations
5.
Elyiv, A., et al.. (2020). Machine-learning computation of distance modulus for local galaxies. Springer Link (Chiba Institute of Technology). 8 indexed citations
6.
Koulouridis, E., M. Ricci, Paul Giles, et al.. (2018). The XXL Survey. Astronomy and Astrophysics. 620. A20–A20. 16 indexed citations
7.
Vavilova, I. B., et al.. (2018). BEHIND THE ZONE OF AVOIDANCE OF THE MILKY WAY: WHAT CAN WE RESTORE BY DIRECT AND INDIRECT METHODS?. SHILAP Revista de lepidopterología. 23(4). 244–257. 9 indexed citations
8.
Elyiv, A., F. Marulli, G Pollina, et al.. (2015). Cosmic voids detection without density measurements. Monthly Notices of the Royal Astronomical Society. 448(1). 642–653. 17 indexed citations
9.
Dobrycheva, D. V., et al.. (2014). ENVIRONMENTAL PROPERTIES OF GALAXIES AT Z < 0.1 FROM THE SDSS VIA THE VORONOI TESSELLATION. SHILAP Revista de lepidopterología. 3 indexed citations
10.
Koulouridis, E., M. Plionis, О. Melnyk, et al.. (2014). X-ray AGN in the XMM-LSS galaxy clusters: no evidence of AGN suppression. Astronomy and Astrophysics. 567. A83–A83. 18 indexed citations
11.
Miniati, Francesco & A. Elyiv. (2012). Relaxation of Blazar Induced Pair Beams in Cosmic Voids: Measurement of Magnetic Field in Voids and Thermal History of the IGM. arXiv (Cornell University). 3 indexed citations
12.
Schlickeiser, R., et al.. (2012). THE PAIR BEAM PRODUCTION SPECTRUM FROM PHOTON-PHOTON ANNIHILATION IN COSMIC VOIDS. The Astrophysical Journal. 758(2). 101–101. 19 indexed citations
13.
Schlickeiser, R., et al.. (2012). Plasma effects on fast pair beams in cosmic voids. 2A–8. 2 indexed citations
14.
Караченцев, И. Д., et al.. (2012). Low density structures in the local universe. I. Diffuse agglomerates of galaxies. Astrophysical Bulletin. 67(4). 353–361. 7 indexed citations
15.
Babyk, Iu., et al.. (2012). The mass distribution in the galaxy cluster Abell 2744. Kinematics and Physics of Celestial Bodies. 28(2). 69–76. 3 indexed citations
16.
Finet, F., A. Elyiv, & Jean Surdej. (2011). Detection of bright multiply imaged quasars with Gaia. Open Repository and Bibliography (University of Liège). 83. 944. 1 indexed citations
17.
Elyiv, A., N. Clerc, M. Plionis, et al.. (2011). Angular correlation functions of X-ray point-like sources in the full exposure XMM-LSS field. Astronomy and Astrophysics. 537. A131–A131. 22 indexed citations
18.
Elyiv, A., О. Melnyk, & I. B. Vavilova. (2009). High-order 3D Voronoi tessellation for identifying isolated galaxies, pairs and triplets. Monthly Notices of the Royal Astronomical Society. 394(3). 1409–1418. 26 indexed citations
19.
Vavilova, I. B., et al.. (2009). Morphological properties of isolated galaxies vs. isolation criteria. Astronomische Nachrichten. 330(9-10). 1004–1009. 16 indexed citations
20.

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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