С. Л. Гафнер

608 citations
66 papers · 457 · h-index 12

Impact in

Papers in

С. Л. Гафнер

59 papers receiving 445 citations

Peers

С. Л. Гафнер
Comparison fields: 5 of 36
  • Atmospheric Science 344
  • Statistical and Nonlinear Physics 77
  • Materials Chemistry 283
  • Electronic, Optical and Magnetic Materials 105
  • Biomedical Engineering 124
Replace Yu. Ya. Gafner with:
Yu. Ya. Gafner Russia
I. V. Talyzin Russia
S. A. Vasilyev Russia
Diana Nelli Italy
A.S. Shirinyan Ukraine
Jianyu Yang China
M. S. Omar Iraq
T. A. Cherepanova Latvia
R. Garrigos France
M. Uludoğan United States
С. Л. Гафнер relative to Yu. Ya. Gafner Russia Yu. Ya. Gafner's profile →
Citations per field
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Yu. Ya. Gafner · 1×
Citations per year

Countries citing papers authored by С. Л. Гафнер

Since Specialization
Citations

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

Fields of papers citing papers by С. Л. Гафнер

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by С. Л. Гафнер. 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 С. Л. Гафнер. The network helps show where С. Л. Гафнер may publish in the future.

Co-authors

The 16 scholars most cited alongside С. Л. Гафнер, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with С. Л. Гафнер Line = papers co-authored together С. Л. Гафнер links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200935
2 201534
3 200529
4 200928
5 201226
6 200926
7 201522
8 200822
9 201116
10 200416
11 200713
12 201511
13 201911
14 201310
15 201610
16 201610
17 20109
18 20189
19 20158
20 20138

About С. Л. Гафнер

С. Л. Гафнер is a scholar working on Atmospheric Science, Materials Chemistry, Biomedical Engineering, Electronic, Optical and Magnetic Materials and Statistical and Nonlinear Physics, having authored 66 papers that have together received 457 indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (55 papers), Laser-Ablation Synthesis of Nanoparticles (23 papers), Material Dynamics and Properties (16 papers), Gold and Silver Nanoparticles Synthesis and Applications (16 papers), Advanced Thermodynamics and Statistical Mechanics (12 papers), Advanced Theoretical and Applied Studies in Material Sciences and Geometry (8 papers), Nanocluster Synthesis and Applications (7 papers) and Advanced Physical and Chemical Molecular Interactions (5 papers). The work is most often cited by research in Atmospheric Science (344 citations), Statistical and Nonlinear Physics (77 citations), Materials Chemistry (283 citations), Electronic, Optical and Magnetic Materials (105 citations) and Biomedical Engineering (124 citations). С. Л. Гафнер has collaborated with scholars based in Russia, Germany and Canada. Frequent co-authors include Yu. Ya. Gafner, Ilya V. Chepkasov, V. M. Samsonov, P. Entel, Sonja Stappert, Bernd Rellinghaus, Ralf Meyer, С. П. Бардаханов, Г. М. Полетаев and А С Семенов. Their work appears in journals such as The Physics of Metals and Metallography, Journal of Nanoparticle Research, Journal of Experimental and Theoretical Physics Letters, Phase Transitions and Metals.

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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