M. M. Chumakov

874 total citations
20 papers, 114 citations indexed

About

M. M. Chumakov is a scholar working on Atmospheric Science, Nuclear and High Energy Physics and Oceanography. According to data from OpenAlex, M. M. Chumakov has authored 20 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 7 papers in Nuclear and High Energy Physics and 6 papers in Oceanography. Recurrent topics in M. M. Chumakov's work include High-Energy Particle Collisions Research (6 papers), Arctic and Antarctic ice dynamics (5 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). M. M. Chumakov is often cited by papers focused on High-Energy Particle Collisions Research (6 papers), Arctic and Antarctic ice dynamics (5 papers) and Quantum Chromodynamics and Particle Interactions (5 papers). M. M. Chumakov collaborates with scholars based in Russia, United States and Iran. M. M. Chumakov's co-authors include Г. С. Ривин, М. А. Никитин, Yu.T. Kiselev, A. Akindinov, Galina Surkova, Alexander Kislov, V. Perov, Mikhail Varentsov, A. P. Revokatova and Д. В. Блинов and has published in prestigious journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics G Nuclear and Particle Physics and Journal of Experimental and Theoretical Physics Letters.

In The Last Decade

M. M. Chumakov

18 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. M. Chumakov Russia 7 58 41 32 31 11 20 114
V. A. Kravtsov Russia 6 17 0.3× 5 0.1× 18 0.6× 44 1.4× 6 0.5× 12 92
Pat Wongpan Australia 7 91 1.6× 11 0.3× 11 0.3× 44 1.4× 3 0.3× 20 168
Stefano Maria Mari Italy 5 69 1.2× 9 0.2× 37 1.2× 2 0.1× 3 0.3× 15 128
Mark Bitter Germany 5 72 1.2× 50 1.2× 21 0.7× 7 0.6× 9 117
Yoichi Inai Japan 12 289 5.0× 264 6.4× 10 0.3× 33 1.1× 2 0.2× 26 335
Olga Puentedura Spain 9 167 2.9× 133 3.2× 3 0.1× 2 0.1× 5 0.5× 20 204
Patrice Klein France 4 70 1.2× 102 2.5× 168 5.4× 7 0.6× 4 184
Olivier Le Rille Netherlands 3 108 1.9× 114 2.8× 5 0.2× 10 0.9× 4 127
S. R. Kawa United States 8 130 2.2× 124 3.0× 8 0.3× 3 0.3× 18 159
Thibaut Dauhut France 8 181 3.1× 170 4.1× 1 0.0× 18 0.6× 16 1.5× 16 188

Countries citing papers authored by M. M. Chumakov

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Chumakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. M. Chumakov

This figure shows the co-authorship network connecting the top 25 collaborators of M. M. Chumakov. A scholar is included among the top collaborators of M. M. Chumakov 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 M. M. Chumakov. M. M. Chumakov 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.
Diansky, N. A., et al.. (2020). Water Circulation Off the Northeastern Coast of Sakhalin during the Passage of Three Types of Deep Cyclones over the Sea of Okhotsk. Russian Meteorology and Hydrology. 45(1). 29–38. 5 indexed citations
2.
Ривин, Г. С., et al.. (2018). Numerical Weather Prediction for Arctic Region. EGUGA. 5505. 1 indexed citations
3.
Kislov, Alexander, et al.. (2018). Mesoscale Atmospheric Modeling of Extreme Velocities over the Sea of Okhotsk and Sakhalin. Izvestiya Atmospheric and Oceanic Physics. 54(4). 322–326. 8 indexed citations
4.
Marchenko, Aleksey, Jean Rabault, Graig Sutherland, et al.. (2017). Field observations and preliminary investigations of a wave event in solid drift ice in the barents sea. Duo Research Archive (University of Oslo). 7 indexed citations
5.
Kislov, Alexander, et al.. (2017). Mesoscale atmospheric modelling technology as a tool for creating a long-term meteorological dataset. IOP Conference Series Earth and Environmental Science. 96. 12004–12004. 3 indexed citations
6.
Chumakov, M. M., et al.. (2015). The system for computing snow cover parameters for forming initial fields for numerical weather prediction based on the COSMO-Ru model. Russian Meteorology and Hydrology. 40(5). 296–304. 3 indexed citations
7.
Ривин, Г. С., Д. В. Блинов, М. А. Никитин, et al.. (2015). The COSMO-Ru system of nonhydrostatic mesoscale short-range weather forecasting of the Hydrometcenter of Russia: The second stage of implementation and development. Russian Meteorology and Hydrology. 40(6). 400–410. 33 indexed citations
8.
9.
Chumakov, M. M., et al.. (2009). Simulation of seasonal variations of the Caspian Sea level using parallel computations. Russian Meteorology and Hydrology. 34(12). 801–809. 9 indexed citations
10.
Akindinov, A., et al.. (2009). Subthreshold and near-threshold kaon and antikaon production in proton–nucleus reactions. Journal of Physics G Nuclear and Particle Physics. 37(1). 15107–15107. 6 indexed citations
11.
Akindinov, A., Yu.T. Kiselev, K. Mikhailov, et al.. (2007). Investigation of the subthreshold production of K − mesons in proton-nucleus collisions. Journal of Experimental and Theoretical Physics Letters. 85(3). 142–148. 4 indexed citations
12.
Akimov, V., A. Akindinov, S.V. Boyarinov, et al.. (2004). Studying the Characteristics and Optimizing the Parameters of a Parallel-Plate Chamber Used As a Detector for Time-of-Flight Measurements. Instruments and Experimental Techniques. 47(5). 589–597. 2 indexed citations
13.
Akimov, V., A. Akindinov, S.V. Boyarinov, et al.. (2002). A Parallel-Plate Chamber as a Detector for Time-of-Flight Measurements. Instruments and Experimental Techniques. 45(4). 493–500. 3 indexed citations
14.
Chumakov, M. M., et al.. (2001). A Procedure for Calculating Extreme Characteristics of the Northern Caspian Sea Level. Water Resources. 28(6). 632–639. 9 indexed citations
15.
Akindinov, A., et al.. (2000). Experimental study of the subthreshold production of K +-mesons in proton-nucleus collisions. Journal of Experimental and Theoretical Physics Letters. 72(3). 100–105. 8 indexed citations
16.
Akindinov, A., et al.. (1996). SubthresholdK + production in proton-nucleus collisions as a probe for short range nucleon correlations. Acta Physica Hungarica A) Heavy Ion Physics. 4(1-4). 325–332. 3 indexed citations
17.
Grishkin, Y., A. Akindinov, M. M. Chumakov, et al.. (1995). Preliminary study of a new type of gas microstrip chamber on a sapphire substrate. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 354(2-3). 309–317. 1 indexed citations
18.
Leksin, G.A., M. M. Chumakov, Yu.T. Kiselev, et al.. (1987). Production of Protons and Deuterons Under Angles Near 100-degrees and 130-degrees in Inclusive Reactions on Nuclei Exposed to $\pi^+$ and $\pi^-$ Mesons With Incident Momenta of 1.5-{GeV}/c. Sov.J.Nucl.Phys.. 45. 463–467. 3 indexed citations
20.
Kiselev, Yu.T., et al.. (1974). Precise determination of inhomogeneous magnetic field components with a hall probe. Nuclear Instruments and Methods. 119. 323–325. 4 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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