Marina Ganeva

547 total citations
25 papers, 412 citations indexed

About

Marina Ganeva is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Atmospheric Science. According to data from OpenAlex, Marina Ganeva has authored 25 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 7 papers in Atomic and Molecular Physics, and Optics and 7 papers in Atmospheric Science. Recurrent topics in Marina Ganeva's work include nanoparticles nucleation surface interactions (6 papers), Ion-surface interactions and analysis (5 papers) and Nuclear Physics and Applications (5 papers). Marina Ganeva is often cited by papers focused on nanoparticles nucleation surface interactions (6 papers), Ion-surface interactions and analysis (5 papers) and Nuclear Physics and Applications (5 papers). Marina Ganeva collaborates with scholars based in Germany, Russia and India. Marina Ganeva's co-authors include R. Hippler, A V Pipa, Joachim Wuttke, Jonathan Fisher, D. S. Yurov, Boris M. Smirnov, Olaf Holderer, Abhijit Majumdar, Sven Bornholdt and Holger Kersten and has published in prestigious journals such as Nature Communications, The Journal of Physical Chemistry B and Macromolecules.

In The Last Decade

Marina Ganeva

25 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marina Ganeva Germany 13 164 107 99 82 61 25 412
R. Nietubyć Poland 10 152 0.9× 222 2.1× 42 0.4× 107 1.3× 79 1.3× 59 447
Haile Lei China 10 212 1.3× 95 0.9× 144 1.5× 71 0.9× 44 0.7× 40 398
M. Streun Germany 5 188 1.1× 150 1.4× 156 1.6× 57 0.7× 61 1.0× 5 382
V. I. Troyan Russia 13 250 1.5× 172 1.6× 60 0.6× 116 1.4× 31 0.5× 75 541
R. Platzer Germany 15 154 0.9× 336 3.1× 146 1.5× 82 1.0× 30 0.5× 37 541
L. Schimmele Germany 13 256 1.6× 117 1.1× 107 1.1× 135 1.6× 38 0.6× 54 631
Yoshinori Ohmasa Japan 10 214 1.3× 166 1.6× 33 0.3× 47 0.6× 31 0.5× 50 405
D. Severin Germany 16 310 1.9× 61 0.6× 18 0.2× 214 2.6× 44 0.7× 40 599
А.Г. Федорус Ukraine 13 215 1.3× 385 3.6× 92 0.9× 120 1.5× 32 0.5× 39 564
C. R. Jones United States 14 145 0.9× 183 1.7× 54 0.5× 262 3.2× 41 0.7× 51 618

Countries citing papers authored by Marina Ganeva

Since Specialization
Citations

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

Fields of papers citing papers by Marina Ganeva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Ganeva

This figure shows the co-authorship network connecting the top 25 collaborators of Marina Ganeva. A scholar is included among the top collaborators of Marina Ganeva 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 Marina Ganeva. Marina Ganeva 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.
Brandl, Georg, et al.. (2023). Active learning-assisted neutron spectroscopy with log-Gaussian processes. Nature Communications. 14(1). 2246–2246. 7 indexed citations
2.
Ganeva, Marina, et al.. (2021). Grazing Incidence Small-Angle Neutron Scattering: Background Determination and Optimization for Soft Matter Samples. Applied Sciences. 11(7). 3085–3085. 6 indexed citations
3.
Fisher, Jonathan, et al.. (2020). Deep learning for x-ray or neutron scattering under grazing-incidence: extraction of distributions. Materials Research Express. 8(4). 45015–45015. 8 indexed citations
4.
Kentzinger, Emmanuel, et al.. (2020). Self assembled monolayer of silica nanoparticles with improved order by drop casting. RSC Advances. 10(31). 18339–18347. 23 indexed citations
5.
Ganeva, Marina, et al.. (2020). Understanding near-surface polymer dynamics by a combination of grazing-incidence neutron scattering and virtual experiments. Journal of Applied Crystallography. 54(1). 72–79. 2 indexed citations
6.
Fisher, Jonathan, et al.. (2020). BornAgain: software for simulating and fitting grazing-incidence small-angle scattering. Journal of Applied Crystallography. 53(1). 262–276. 78 indexed citations
7.
Lutzki, Jana, Bernhard V. K. J. Schmidt, Marina Ganeva, et al.. (2020). Grazing Incidence Neutron Spin Echo Study of Poly(N-isopropylacrylamide) Brushes. Macromolecules. 53(5). 1819–1830. 12 indexed citations
8.
Ganeva, Marina, Kornelia Gawlitza, Regine von Klitzing, et al.. (2018). Grazing incidence SANS and reflectometry combined with simulation of adsorbed microgel particles. Physica B Condensed Matter. 551. 172–178. 10 indexed citations
9.
Nylander, Tommy, Оlaf Soltwedel, Marina Ganeva, et al.. (2017). Relationship between Structure and Fluctuations of Lipid Nonlamellar Phases Deposited at the Solid–Liquid Interface. The Journal of Physical Chemistry B. 121(13). 2705–2711. 17 indexed citations
10.
Ganeva, Marina, et al.. (2015). Clusters as a diagnostics tool for gas flows. Physics-Uspekhi. 58(6). 579–588. 5 indexed citations
11.
Ganeva, Marina, et al.. (2015). BornAgain - Simulating and fitting X-ray and neutron small-angle scattering at grazing incidence. 2 indexed citations
12.
Ganeva, Marina, et al.. (2015). Atmospheric effect corrections of MuSTAnG data. Journal of Space Weather and Space Climate. 5. A6–A6. 10 indexed citations
13.
Ganeva, Marina, et al.. (2014). Angular and velocity distribution of nano-size cluster beams in a gas flow. Vacuum. 110. 140–145. 12 indexed citations
14.
Ganeva, Marina, et al.. (2013). Seasonal variations of the muon flux in the MUSTANG super telescope data. Bulletin of the Russian Academy of Sciences Physics. 77(5). 561–565. 1 indexed citations
15.
Ganeva, Marina, et al.. (2013). Directional sensitivity of MuSTAnG muon telescope. Journal of Space Weather and Space Climate. 3. A16–A16. 5 indexed citations
16.
Mutzke, A., et al.. (2013). Operational limit of a planar DC magnetron cluster source due to target erosion. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 316. 6–12. 7 indexed citations
17.
Ganeva, Marina, et al.. (2013). Seasonal variations of the muon flux seen by muon telescope MuSTAnG. Journal of Physics Conference Series. 409. 12242–12242. 12 indexed citations
18.
Ganeva, Marina, et al.. (2013). Velocity distribution of mass-selected nano-size cluster ions. Plasma Sources Science and Technology. 22(4). 45011–45011. 23 indexed citations
19.
Majumdar, Abhijit, et al.. (2009). Development of metal nanocluster ion source based on dc magnetron plasma sputtering at room temperature. Review of Scientific Instruments. 80(9). 95103–95103. 23 indexed citations
20.
Majumdar, Abhijit, et al.. (2008). Surface morphology and composition of films grown by size-selected Cu nanoclusters. Vacuum. 83(4). 719–723. 28 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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