G. Ososkov

1.8k total citations
89 papers, 424 citations indexed

About

G. Ososkov is a scholar working on Nuclear and High Energy Physics, Radiation and Artificial Intelligence. According to data from OpenAlex, G. Ososkov has authored 89 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 17 papers in Radiation and 16 papers in Artificial Intelligence. Recurrent topics in G. Ososkov's work include Particle Detector Development and Performance (28 papers), Particle physics theoretical and experimental studies (22 papers) and High-Energy Particle Collisions Research (13 papers). G. Ososkov is often cited by papers focused on Particle Detector Development and Performance (28 papers), Particle physics theoretical and experimental studies (22 papers) and High-Energy Particle Collisions Research (13 papers). G. Ososkov collaborates with scholars based in Russia, Germany and Belarus. G. Ososkov's co-authors include N. Chernov, I. Kisel, S. Lebedev, A. Glazov, Ivan Galkin, B. W. Reinisch, Steven Neshyba, В.Д. Тонеев, K. K. Gudima and Е. А. Колганова and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physics Letters B and Computer Physics Communications.

In The Last Decade

G. Ososkov

75 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Ososkov Russia	11	141	72	70	57	45	89	424
Shudao Zhou China	11	49 0.3×	79 1.1×	63 0.9×	11 0.2×	5 0.1×	48	385
Liangjian Wen China	15	391 2.8×	138 1.9×	158 2.3×	88 1.5×	3 0.1×	63	697
Keith Erickson United States	13	325 2.3×	114 1.6×	17 0.2×	33 0.6×	4 0.1×	39	566
‬‬‬‬‬‬Eva Sciacca Italy	10	72 0.5×	57 0.8×	18 0.3×	28 0.5×	20 0.4×	53	407
E. Peluso Italy	14	281 2.0×	153 2.1×	4 0.1×	75 1.3×	13 0.3×	68	582
Tong Zhang China	17	17 0.1×	67 0.9×	9 0.1×	15 0.3×	55 1.2×	76	877
R. Frühwirth Austria	6	284 2.0×	73 1.0×	28 0.4×	80 1.4×	1 0.0×	12	419
Malachi Schram United States	9	162 1.1×	53 0.7×	10 0.1×	79 1.4×	2 0.0×	42	390
R. K. Böck Switzerland	9	146 1.0×	71 1.0×	37 0.5×	55 1.0×	1 0.0×	26	369

Countries citing papers authored by G. Ososkov

Since Specialization

Citations

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

Fields of papers citing papers by G. Ososkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Ososkov

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

All Works

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20 of 20 papers shown

Ososkov, G., et al.. (2025). Enhanced KAN architecture for experimental data processing in high-energy physics. Computer Physics Communications. 316. 109801–109801. 1 indexed citations

Ososkov, G., et al.. (2024). Point Cloud Transformer for Elementary Particle Signals Segmentation. Physics of Particles and Nuclei. 55(3). 458–460. 1 indexed citations

Zhemchugov, A., et al.. (2023). Deep Tracking for the SPD Experiment. Physics of Particles and Nuclei Letters. 20(5). 1180–1182.

Ososkov, G., et al.. (2023). Deep Learning Applications for Traffic Sign Detection and Classification. Physics of Particles and Nuclei Letters. 20(5). 1279–1282. 1 indexed citations

Andreev, Vladimir, Anna Belova, A. Galoyan, et al.. (2021). OFFLINE SOFTWARE AND COMPUTING FOR THE SPD EXPERIMENT. 26–31. 3 indexed citations

Ososkov, G., et al.. (2021). One-shot learning with triplet loss for vegetation classification tasks. Computer Optics. 45(4). 21 indexed citations

Ososkov, G., et al.. (2021). Deep learning methods for the plant disease detection platform. AIP conference proceedings. 2377. 60006–60006. 11 indexed citations

Denisenko, I., et al.. (2021). Global strategy of tracking on the basis of graph neural network for BES-III CGEM inner detector. AIP conference proceedings. 2377. 60001–60001. 1 indexed citations

Ososkov, G., et al.. (2019). The Particle Track Reconstruction based on deep Neural networks. Springer Link (Chiba Institute of Technology). 4 indexed citations

10.

Ososkov, G., et al.. (2019). Catch and Prolong: recurrent neural network for seeking track-candidates. Springer Link (Chiba Institute of Technology). 5 indexed citations

11.

Ososkov, G., et al.. (2018). Perspectives of using a satellite imagery data for prediction of heavy metals contamination. Computer Research and Modeling. 10(4). 535–544. 1 indexed citations

12.

Korenkov, V., et al.. (2016). Simulation concept of NICA-MPD-SPD Tier0-Tier1 computing facilities. Physics of Particles and Nuclei Letters. 13(5). 693–699. 2 indexed citations

13.

Höhne, Christian, et al.. (2010). Fast global tracking for the CBM experiment at fair. 1 indexed citations

14.

Lebedev, Andrey A., et al.. (2010). Track reconstruction algorithms for the CBM experiment at FAIR. Journal of Physics Conference Series. 219(3). 32048–32048. 4 indexed citations

15.

Lebedev, S., C. Höhne, & G. Ososkov. (2010). Ring recognition and electron identification in the RICH detector of the CBM experiment at FAIR. Journal of Physics Conference Series. 219(3). 32015–32015. 7 indexed citations

16.

Golutvin, I.A., et al.. (2002). Robust Optimal Estimates of the Parameters of Muon Track Segments in Cathode Strip Chambers for CMS Experiments. Instruments and Experimental Techniques. 45(6). 735–741. 1 indexed citations

17.

Chernov, N., Е. А. Колганова, & G. Ososkov. (1999). Robust methods for RICH ring recognition and particle identification. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 433(1-2). 274–278. 3 indexed citations

18.

Ososkov, G., et al.. (1998). Finding tracks detected by a drift tube system. Computer Physics Communications. 108(1). 20–28.

19.

Kisel, I., et al.. (1993). Application of neural networks in experimental physics. Physics of Particles and Nuclei. 24(6). 1551–1595. 7 indexed citations

20.

Gudima, K. K., G. Ososkov, & В.Д. Тонеев. (1975). Model of preequilibrium decay of excited nuclei. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 49(6). 674–677. 9 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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