M. Maslov

3.0k total citations
49 papers, 709 citations indexed

About

M. Maslov is a scholar working on Nuclear and High Energy Physics, Materials Chemistry and Astronomy and Astrophysics. According to data from OpenAlex, M. Maslov has authored 49 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Nuclear and High Energy Physics, 21 papers in Materials Chemistry and 16 papers in Astronomy and Astrophysics. Recurrent topics in M. Maslov's work include Magnetic confinement fusion research (41 papers), Fusion materials and technologies (19 papers) and Ionosphere and magnetosphere dynamics (15 papers). M. Maslov is often cited by papers focused on Magnetic confinement fusion research (41 papers), Fusion materials and technologies (19 papers) and Ionosphere and magnetosphere dynamics (15 papers). M. Maslov collaborates with scholars based in United Kingdom, Switzerland and Germany. M. Maslov's co-authors include H. Weisen, C. Angioni, A. G. Peeters, M. Beurskens, C. Giroud, M. Greenwald, J. Flanagan, H. Takenaga, E. Fable and M. Kempenaars and has published in prestigious journals such as ACS Applied Materials & Interfaces, Review of Scientific Instruments and Physical review. B..

In The Last Decade

M. Maslov

40 papers receiving 667 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. Maslov United Kingdom 14 587 397 241 187 128 49 709
E.R. Solano Germany 17 883 1.5× 419 1.1× 395 1.6× 266 1.4× 146 1.1× 75 941
D. Galassi France 14 533 0.9× 294 0.7× 240 1.0× 135 0.7× 94 0.7× 44 577
O. Février Switzerland 18 808 1.4× 485 1.2× 270 1.1× 209 1.1× 164 1.3× 74 880
S. Woodruff United States 15 773 1.3× 258 0.6× 415 1.7× 211 1.1× 167 1.3× 52 846
P. David Germany 14 549 0.9× 328 0.8× 154 0.6× 167 0.9× 170 1.3× 52 677
K. Verhaegh United Kingdom 19 786 1.3× 561 1.4× 181 0.8× 213 1.1× 171 1.3× 56 858
P. Rodriguez-Fernandez United States 16 486 0.8× 214 0.5× 248 1.0× 102 0.5× 182 1.4× 59 582
H. Grote Germany 13 740 1.3× 337 0.8× 390 1.6× 144 0.8× 125 1.0× 37 848
F. Scotti United States 15 552 0.9× 327 0.8× 217 0.9× 138 0.7× 123 1.0× 86 664
D. Carralero Germany 19 1.0k 1.8× 447 1.1× 591 2.5× 204 1.1× 167 1.3× 67 1.1k

Countries citing papers authored by M. Maslov

Since Specialization
Citations

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

Fields of papers citing papers by M. Maslov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Maslov. A scholar is included among the top collaborators of M. Maslov 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. Maslov. M. Maslov 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.
Maslov, M., et al.. (2024). Theory of angular momentum transfer from light to molecules. Physical Review Research. 6(3).
2.
Eriksson, B., S. Conroy, G. Ericsson, et al.. (2023). TOFu: A fully digital data acquisition system upgrade for the neutron time-of-flight spectrometer TOFOR. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1049. 168126–168126. 3 indexed citations
3.
Tang, W. M., Ge Dong, J.L. Barr, et al.. (2023). Implementation of AI/DEEP learning disruption predictor into a plasma control system. Contributions to Plasma Physics. 63(5-6). 2 indexed citations
4.
Scannell, R., et al.. (2023). Polarimetric Thomson scattering measurements in Joint European Torus high temperature plasmas. Review of Scientific Instruments. 94(1). 13506–13506. 2 indexed citations
5.
Tinguely, R. A., P. Puglia, N. Fil, et al.. (2020). Experimental studies of plasma-antenna coupling with the JET Alfvén Eigenmode Active Diagnostic. Nuclear Fusion. 61(2). 26003–26003. 5 indexed citations
6.
Weisen, H., E. Delabie, J. Flanagan, et al.. (2019). Analysis of the inter-species power balance in JET plasmas. Nuclear Fusion. 60(3). 36004–36004. 11 indexed citations
7.
Marin, M., J. Citrin, C. Bourdelle, et al.. (2019). First-principles-based multiple-isotope particle transport modelling at JET. Nuclear Fusion. 60(4). 46007–46007. 7 indexed citations
8.
Kretschmer, Silvan, M. Maslov, Sadegh Ghaderzadeh, et al.. (2018). Supported Two-Dimensional Materials under Ion Irradiation: The Substrate Governs Defect Production. ACS Applied Materials & Interfaces. 10(36). 30827–30836. 86 indexed citations
9.
Bourdelle, C., Y. Camenen, J. Citrin, et al.. (2018). Fast H isotope and impurity mixing in ion-temperature-gradient turbulence. Nuclear Fusion. 58(7). 76028–76028. 23 indexed citations
10.
Sertoli, M., J. Flanagan, M. Maslov, et al.. (2018). Determination of 2D poloidal maps of the intrinsic W density for transport studies in JET-ILW. Review of Scientific Instruments. 89(11). 113501–113501. 15 indexed citations
11.
Manas, P., Y. Camenen, S. Benkadda, et al.. (2017). Gyrokinetic modeling of impurity peaking in JET H-mode plasmas. Physics of Plasmas. 24(6). 13 indexed citations
12.
Leyland, Matthew, M. Beurskens, J. Flanagan, et al.. (2016). Edge profile analysis of Joint European Torus (JET) Thomson scattering data: Quantifying the systematic error due to edge localised mode synchronisation. Review of Scientific Instruments. 87(1). 13507–13507. 6 indexed citations
13.
Salmi, Ari, T. Tala, P. Mantica, et al.. (2015). Particle source and edge transport studies in JET H-mode gas puff modulation experiments. Max Planck Digital Library. 5 indexed citations
14.
Belonohy, É., P. Abreu, M. Beurskens, et al.. (2014). The effect of the accuracy of toroidal field measurements on spatial consistency of kinetic profiles at JET. Max Planck Digital Library. 2 indexed citations
15.
Maslov, M., M. Beurskens, M. Kempenaars, J. Flanagan, & Jet Contributors. (2013). Efd-P(13)51 Status Of The Jet Lidar Thomson Scattering Diagnostic. Zenodo (CERN European Organization for Nuclear Research).
16.
Kiptily, V., D. Van Eester, E. Lerche, et al.. (2012). Fast ions in mode conversion heating (3He)–H plasmas in JET. Plasma Physics and Controlled Fusion. 54(7). 74010–74010. 3 indexed citations
17.
Maslov, M., et al.. (2012). Note: Statistical errors estimation for Thomson scattering diagnostics. Review of Scientific Instruments. 83(9). 96106–96106. 9 indexed citations
18.
Weisen, H., Y. Camenen, Ari Salmi, et al.. (2011). Probable identification of the Coriolis momentum pinch in JET. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 105–108. 1 indexed citations
19.
Maslov, M.. (2007). Leonid predictions for the period 2001-2100. 35(1). 5–12. 3 indexed citations
20.
Porte, L., S. Coda, S. Alberti, et al.. (2007). Plasma dynamics with second and third-harmonic ECRH and access to quasi-stationary ELM-free H-mode on TCV. Nuclear Fusion. 47(8). 952–960. 33 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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