В. В. Кравцов

528 total citations
55 papers, 370 citations indexed

About

В. В. Кравцов is a scholar working on Astronomy and Astrophysics, Instrumentation and Computational Mechanics. According to data from OpenAlex, В. В. Кравцов has authored 55 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Astronomy and Astrophysics, 32 papers in Instrumentation and 4 papers in Computational Mechanics. Recurrent topics in В. В. Кравцов's work include Stellar, planetary, and galactic studies (49 papers), Astronomy and Astrophysical Research (32 papers) and Astrophysics and Star Formation Studies (28 papers). В. В. Кравцов is often cited by papers focused on Stellar, planetary, and galactic studies (49 papers), Astronomy and Astrophysical Research (32 papers) and Astrophysics and Star Formation Studies (28 papers). В. В. Кравцов collaborates with scholars based in Chile, Russia and South Africa. В. В. Кравцов's co-authors include G. Alcaíno, F. Alvarado, Л. Н. Бердников, A. Y. Kniazev, G. Marconi, W. Liller, A. K. Dambis, Ramotholo Sefako, O. Smirnov and N. N. Samus 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

В. В. Кравцов

47 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В. В. Кравцов Chile 12 365 182 21 17 11 55 370
J. Maldonado Spain 15 558 1.5× 187 1.0× 16 0.8× 12 0.7× 14 1.3× 28 567
M. Valentini Germany 13 361 1.0× 211 1.2× 15 0.7× 25 1.5× 9 0.8× 29 376
E. A. Olivier South Africa 8 302 0.8× 114 0.6× 11 0.5× 12 0.7× 7 0.6× 12 318
A. M. Piersimoni Italy 14 496 1.4× 265 1.5× 27 1.3× 13 0.8× 10 0.9× 19 501
M. V. Legnardi Italy 12 285 0.8× 197 1.1× 10 0.5× 27 1.6× 5 0.5× 29 323
G. Pace Portugal 11 601 1.6× 260 1.4× 33 1.6× 9 0.5× 6 0.5× 19 606
M. I. Jones Chile 12 358 1.0× 166 0.9× 10 0.5× 9 0.5× 6 0.5× 28 363
Benjamin M. Tofflemire United States 12 280 0.8× 67 0.4× 23 1.1× 15 0.9× 10 0.9× 28 285
M. R. Mokiem Netherlands 7 499 1.4× 181 1.0× 21 1.0× 16 0.9× 12 1.1× 8 506
Kh. F. Khaliullin Russia 12 400 1.1× 124 0.7× 11 0.5× 29 1.7× 9 0.8× 40 412

Countries citing papers authored by В. В. Кравцов

Since Specialization
Citations

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

Fields of papers citing papers by В. В. Кравцов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. В. Кравцов

This figure shows the co-authorship network connecting the top 25 collaborators of В. В. Кравцов. A scholar is included among the top collaborators of В. В. Кравцов 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 В. В. Кравцов. В. В. Кравцов 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.
Dib, Sami, Jianwen Zhou, S. Comerón, et al.. (2024). Assessing the accuracy of star formation rate measurements by direct star count in molecular clouds. Astronomy and Astrophysics. 693. A51–A51.
2.
Кравцов, В. В., et al.. (2023). The merger of hard binaries in globular clusters as the primary channel for the formation of second-generation stars. Monthly Notices of the Royal Astronomical Society. 527(3). 7005–7012. 3 indexed citations
3.
Dib, Sami, et al.. (2022). Stellar collisions in globular clusters: Constraints on the initial mass function of the first generation of stars. Astronomy and Astrophysics. 664. A145–A145. 7 indexed citations
4.
Кравцов, В. В.. (2019). Radial trends in Galactic globular clusters and their possible origin. 61. 122–124. 1 indexed citations
5.
Бердников, Л. Н., A. K. Dambis, A. Y. Kniazev, В. В. Кравцов, & Ramotholo Sefako. (2014). The 'possible Cepheids' DO Ori and VY CMi are RR Lyrae variables. Observatory. 134. 206–210. 2 indexed citations
6.
Dambis, A. K., Л. Н. Бердников, A. Y. Kniazev, et al.. (2013). RR Lyrae variables: visual and infrared luminosities, intrinsic colours and kinematics. Monthly Notices of the Royal Astronomical Society. 435(4). 3206–3220. 56 indexed citations
7.
Кравцов, В. В.. (2013). Unexpected radial trend of the iron abundance in a sample of monometallic Galactic globular clusters. Astronomy and Astrophysics. 554. L6–L6. 1 indexed citations
8.
Кравцов, В. В., G. Alcaíno, G. Marconi, & F. Alvarado. (2011). Strong radial segregation between sub-populations of evolutionary homogeneous stars in the Galactic globular cluster NGC 6752. Springer Link (Chiba Institute of Technology). 20 indexed citations
9.
Бердников, Л. Н., A. Y. Kniazev, Ramotholo Sefako, В. В. Кравцов, & A. K. Dambis. (2011). CCD observations of 11 variables classified in the GCVS as RR Lyrae-type stars without light-curve elements. Observatory. 131(6). 386–391. 3 indexed citations
10.
Бердников, Л. Н., A. Y. Kniazev, Ramotholo Sefako, В. В. Кравцов, & A. K. Dambis. (2011). CCD observations of three RR Lyrae-type stars: CL Eri, CM Eri, and CN Eri. Observatory. 131(5). 315–317. 3 indexed citations
11.
Кравцов, В. В., G. Alcaíno, G. Marconi, & F. Alvarado. (2010). Evidence of the inhomogeneity of the stellar population \nin the differentially reddened globular cluster NGC 3201. Springer Link (Chiba Institute of Technology). 17 indexed citations
12.
Кравцов, В. В., G. Alcaíno, G. Marconi, & F. Alvarado. (2010). Wide-field multi-color photometry of the Galactic globular cluster NGC 1261. Springer Link (Chiba Institute of Technology). 13 indexed citations
13.
Кравцов, В. В., G. Alcaíno, G. Marconi, & F. Alvarado. (2009). Multi-color photometry in wide field of the Galactic globular cluster NGC 3201. Astronomy and Astrophysics. 497(2). 371–378. 11 indexed citations
14.
Кравцов, В. В., G. Alcaíno, G. Marconi, & F. Alvarado. (2007). Multi-color photometry of the Galactic globular cluster M 75 = NGC 6864. A new sensitive metallicity indicator and the position of the horizontal branch in UV. Springer Link (Chiba Institute of Technology). 5 indexed citations
15.
Кравцов, В. В.. (2002). Second parameter globulars and dwarf spheroidals around the Local Group massive galaxies: What can they evidence?. Astronomy and Astrophysics. 396(1). 117–123. 3 indexed citations
16.
Alcaíno, G., et al.. (1997). Multicolor CCD Photometry of the Poorly Studied Globular Cluster NGC 6541. The Astronomical Journal. 114. 2638–2638. 7 indexed citations
17.
Samus, N. N., et al.. (1996). The giant branch and variable stars in the globular cluster NGC 3201. 22(2). 239–253. 1 indexed citations
18.
Кравцов, В. В., et al.. (1995). A new photographic color-magnitude study of M 22 = NGC 6656.. Astronomy & Astrophysics Supplement Series. 109. 487–499. 1 indexed citations
19.
Smirnov, O., et al.. (1995). A CCD BVRI color-magnitude study of the globular cluster NGC 5286.. Astronomy & Astrophysics Supplement Series. 112(3). 439–444.
20.
Кравцов, В. В., et al.. (1994). New variable stars in the globular cluster M22=NGC6656. Astronomy Letters. 20(3). 339–342. 1 indexed citations

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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