This map shows the geographic impact of A. Pozanenko'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. Pozanenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pozanenko more than expected).
This network shows the impact of papers produced by A. Pozanenko. 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. Pozanenko. The network helps show where A. Pozanenko may publish in the future.
Co-authorship network of co-authors of A. Pozanenko
This figure shows the co-authorship network connecting the top 25 collaborators of A. Pozanenko.
A scholar is included among the top collaborators of A. Pozanenko 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. Pozanenko. A. Pozanenko is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pozanenko, A., et al.. (2020). GRB 201015A: classification as long GRB. GRB Coordinates Network. 28668. 1.2 indexed citations
4.
Pozanenko, A., A. Volnova, А. С. Москвитин, et al.. (2020). GRB 201015A: optical observations and supernova identification. GRB Coordinates Network. 29033. 1.2 indexed citations
5.
Pozanenko, A., et al.. (2020). GRB 200415A (possible magnetar Giant Flare in Sculptor Galaxy): INTEGRAL observations. GRB Coordinates Network. 27627. 1.
6.
Volnova, A., et al.. (2019). GRB 190829A observations in CrAO, photometry of the SN. GRB Coordinates Network. 25682. 1.1 indexed citations
7.
Pozanenko, A., et al.. (2018). GRB 180720B : TSHAO optical observations.. GRB Coordinates Network. 22979. 1.1 indexed citations
8.
Graziani, Frank, et al.. (2018). GRB 180720B: ISON-Castelgrande optical observations.. GRB Coordinates Network. 23020. 1.2 indexed citations
9.
Pozanenko, A., et al.. (2016). GRB 160623A: Mondy optical observations.. GCN. 19561. 1.1 indexed citations
10.
Volnova, A., et al.. (2013). GRB 130831A: optical observation in gissar AO.. GRB Coordinates Network. 15186. 1.1 indexed citations
11.
Sergeev, A., et al.. (2010). GRB 100206A: optical observations in terskol.. GCN. 10455. 1.1 indexed citations
12.
Sergeev, A., et al.. (2010). GRB 100901A: multicolor photometry at Mt.Terskol.. GCN. 11200. 1.1 indexed citations
13.
Sergeev, A., et al.. (2010). GRB 101225A (Swift trigger 441015): optical upper limit.. GRB Coordinates Network. 11494. 1.1 indexed citations
14.
Ibrahimov, M., R. Karimov, V. Rumyantsev, & A. Pozanenko. (2008). GRB 080603B: optical observations in MAO.. GRB Coordinates Network. 7975. 1.1 indexed citations
15.
Rumyantsev, V., et al.. (2006). GRB061121: optical observations.. GRB Coordinates Network. 5850. 1.1 indexed citations
16.
Sharapov, D., et al.. (2006). GRB060512: near IR observations.. GRB Coordinates Network. 5267. 1.2 indexed citations
17.
Павленко, Е. П., V. Rumyantsev, & A. Pozanenko. (2002). XRF 020903: optical observations.. GCN. 1535. 1.1 indexed citations
18.
Митрофанов, И. Г., et al.. (1995). Statistical analysis of flux variability and energy spectra of cosmic gamma-ray bursts observed with the BATSE Experiment of the Compton Observatory. AZh. 72. 344.1 indexed citations
19.
Митрофанов, И. Г., J. L. Atteia, C. Barat, et al.. (1990). Fast variability of cosmic gamma-ray bursts recorded with the APEX experiment of international PHOBOS mission.. 16. 302–317.
20.
Митрофанов, И. Г., J. L. Atteia, C. Barat, et al.. (1990). Rapid Variability of Cosmic Gamma-Ray Bursts Detected in the Apex Experiment in the PHOBOS International Project. 16. 129.
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.