Д. Журов

571 total citations
9 papers, 4 citations indexed

About

Д. Журов is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Radiological and Ultrasound Technology. According to data from OpenAlex, Д. Журов has authored 9 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nuclear and High Energy Physics, 6 papers in Astronomy and Astrophysics and 1 paper in Radiological and Ultrasound Technology. Recurrent topics in Д. Журов's work include Astrophysics and Cosmic Phenomena (9 papers), Gamma-ray bursts and supernovae (5 papers) and Dark Matter and Cosmic Phenomena (3 papers). Д. Журов is often cited by papers focused on Astrophysics and Cosmic Phenomena (9 papers), Gamma-ray bursts and supernovae (5 papers) and Dark Matter and Cosmic Phenomena (3 papers). Д. Журов collaborates with scholars based in Russia and Germany. Д. Журов's co-authors include Е. Постников, A. P. Kryukov, P. A. Bezyazeekov, Andrey Demichev, Г. И. Рубцов, U. Schwanke, L. A. Kuzmichev, О. Гришин, V. V. Oreshko and М. С. Пширков and has published in prestigious journals such as Moscow University Physics Bulletin, Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software and Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021).

In The Last Decade

Д. Журов

4 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Д. Журов Russia 2 4 2 1 1 1 9 4
Alex Kääpä Germany 2 4 1.0× 2 1.0× 2 4
Sourav Dey India 2 4 1.0× 2 1.0× 6 8
Mohanraj Senniappan Sweden 2 4 1.0× 2 1.0× 3 4
B. Panico Italy 2 4 1.0× 2 1.0× 6 4
T. Bylund Sweden 2 4 1.0× 2 1.0× 3 4
N. Iovine Belgium 2 4 1.0× 2 1.0× 4 4
Bayu Dirgantara Thailand 2 4 1.0× 2 1.0× 3 4
R. Wang Russia 1 4 1.0× 2 1.0× 2 4
A. Aikot India 2 4 1.0× 2 1.0× 2 4
D. Vannerom Belgium 2 4 1.0× 2 1.0× 3 4

Countries citing papers authored by Д. Журов

Since Specialization
Citations

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

Fields of papers citing papers by Д. Журов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Д. Журов

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

All Works

9 of 9 papers shown
1.
Kryukov, A. P., et al.. (2024). Gamma/Hadron Separation in the TAIGA Experiment with Neural Network Methods. Moscow University Physics Bulletin. 79(S2). S622–S629.
2.
Kryukov, A. P., et al.. (2023). Generating Synthetic Images of Gamma-Ray Events for Imaging Atmospheric Cherenkov Telescopes Using Conditional Generative Adversarial Networks. Moscow University Physics Bulletin. 78(S1). S64–S70. 1 indexed citations
3.
Kryukov, A. P., et al.. (2023). The Use of Conditional Variational Autoencoders for Simulation of EAS Images from IACTs. Moscow University Physics Bulletin. 78(S1). S37–S44.
4.
Kryukov, A. P., et al.. (2023). Selection of Gamma Events from IACT Images Using Deep Learning Methods. Moscow University Physics Bulletin. 78(S1). S45–S51. 1 indexed citations
5.
Kryukov, A. P., et al.. (2023). Application of Convolutional Neural Networks for Data Analysis in TAIGA-HiSCORE Experiment. Moscow University Physics Bulletin. 78(S1). S32–S36.
6.
Журов, Д.. (2021). Modeling for Pointing of Imaging Atmospheric Cherenkov Telescopes in TAIGA Experiment. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software. 14(4). 106–111.
7.
Haungs, A., D. Kostunin, A. P. Kryukov, et al.. (2021). Multi-messenger Astroparticle Physics for the Public via the astroparticle.online Project. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 1373–1373. 1 indexed citations
8.
Spengler, G., U. Schwanke, & Д. Журов. (2021). CTbend: A Bayesian open-source framework to model pointing corrections of Cherenkov telescopes. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 699–699.
9.
Kostunin, D., P. A. Bezyazeekov, О. Гришин, et al.. (2019). Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 320–320. 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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