A. Volnova

1.8k citations
49 papers · 269 · h-index 10

Impact in

    • Gamma-ray bursts and supernovae
    • Stellar, planetary, and galactic studies
    • Pulsars and Gravitational Waves Research
    • Astrophysical Phenomena and Observations
    • Astronomy and Astrophysical Research

Papers in

A. Volnova

43 papers receiving 251 citations

Peers

A. Volnova
Comparison fields: 5 of 35
  • Astronomy and Astrophysics 210
  • Instrumentation 37
  • Nuclear and High Energy Physics 79
  • Artificial Intelligence 58
  • Computational Mechanics 32
Replace M. V. Pruzhinskaya with:
M. V. Pruzhinskaya Russia
Konstantin Malanchev Russia
L. Faccioli France
B. Scheers Netherlands
L. P. Xin China
Gabriella Contardo United States
John F. Wu United States
I. Reyes Chile
Jiannan Zhang China
Paul La Plante United States
A. Volnova relative to M. V. Pruzhinskaya Russia M. V. Pruzhinskaya's profile →
Citations per field
00.5×1.5×
M. V. Pruzhinskaya · 1×
Citations per year

Countries citing papers authored by A. Volnova

Since Specialization
Citations

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

Fields of papers citing papers by A. Volnova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Volnova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Volnova Line = papers co-authored together A. Volnova links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202136
2 202127
3 201926
4 200622
5 201621
6 202316
7 201412
8 202012
9 20249
10 20209
11 20168
12 20237
13 20206
14
New Data Access Challenges for Data Intensive Research in Russia.
20156
15 20216
16 20226
17 20204
18 20213
19
Use of Machine Learning for Anomaly Detection Problem in Large Astronomical Databases.
20193
20 20243

About A. Volnova

A. Volnova is a scholar working on Astronomy and Astrophysics, Computational Mechanics, Biomedical Engineering, Instrumentation and Artificial Intelligence, having authored 49 papers that have together received 269 indexed citations. Recurring topics across this work include Gamma-ray bursts and supernovae (40 papers), Astronomical Observations and Instrumentation (10 papers), SAS software applications and methods (10 papers), Astronomy and Astrophysical Research (10 papers), Astrophysics and Cosmic Phenomena (9 papers), Anomaly Detection Techniques and Applications (8 papers), Stellar, planetary, and galactic studies (8 papers) and Astrophysical Phenomena and Observations (7 papers). The work is most often cited by research in Astronomy and Astrophysics (210 citations), Instrumentation (37 citations), Nuclear and High Energy Physics (79 citations), Artificial Intelligence (58 citations) and Computational Mechanics (32 citations). A. Volnova has collaborated with scholars based in Russia, France and United States. Frequent co-authors include M. V. Pruzhinskaya, Konstantin Malanchev, Émille E. O. Ishida, A. Pozanenko, P. Aleo, V. Rumyantsev, P. Yu. Minaev, D. Yu. Tsvetkov, A. Elmhamdi and I. J. Danziger. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, Astronomy and Computing, New Astronomy and Anais da Academia Brasileira de Ciências.

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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