S. V. Yakovlev
Impact in
- Spectroscopy top 10%
- Spectroscopy and Laser Applications
-
- Atmospheric and Environmental Gas Dynamics
- Atmospheric aerosols and clouds
Papers in
-
- Atmospheric and Environmental Gas Dynamics 46
- Atmospheric aerosols and clouds 7
- COVID-19 impact on air quality 2
- Spectroscopy 46
- Spectroscopy and Laser Applications 46
- Co-authors
- О. V. Kharchenko (35 shared papers)О. А. Romanovskii (41 shared papers)L. V. Lutsev (4 shared papers)M. Yu. Petrov (1 shared paper)L. M. Blinov (1 shared paper)S. P. Palto (2 shared papers)А. А. Ионин (5 shared papers)А. А. Котков (5 shared papers)
In The Last Decade
S. V. Yakovlev
49 papers receiving 231 citations
Peers
Comparison fields: 5 of 46
- Spectroscopy 125
- Global and Planetary Change 102
- Atmospheric Science 61
- Atomic and Molecular Physics, and Optics 75
- Electronic, Optical and Magnetic Materials 35
Countries citing papers authored by S. V. Yakovlev
This map shows the geographic impact of S. V. Yakovlev'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 S. V. Yakovlev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. V. Yakovlev more than expected).
Fields of papers citing papers by S. V. Yakovlev
This network shows the impact of papers produced by S. V. Yakovlev. 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 S. V. Yakovlev. The network helps show where S. V. Yakovlev may publish in the future.
Co-authors
The 25 scholars most cited alongside S. V. Yakovlev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 38 | |
| 2 | 2020 | 32 | |
| 3 | 1998 | 16 | |
| 4 | 2012 | 12 | |
| 5 | 2022 | 10 | |
| 6 | 2018 | 9 | |
| 7 | 2014 | 9 | |
| 8 | 2005 | 8 | |
| 9 | 2000 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2008 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2020 | 7 | |
| 14 | 1998 | 7 | |
| 15 | 2013 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2019 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2024 | 3 |
About S. V. Yakovlev
S. V. Yakovlev is a scholar working on Global and Planetary Change, Spectroscopy, Electrical and Electronic Engineering, Atmospheric Science and Electronic, Optical and Magnetic Materials, having authored 60 papers that have together received 243 indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (46 papers), Spectroscopy and Laser Applications (46 papers), Atmospheric Ozone and Climate (20 papers), Laser Design and Applications (19 papers), Atmospheric aerosols and clouds (7 papers), Liquid Crystal Research Advancements (3 papers), Electromagnetic wave absorption materials (2 papers) and COVID-19 impact on air quality (2 papers). The work is most often cited by research in Spectroscopy (125 citations), Global and Planetary Change (102 citations), Atmospheric Science (61 citations), Atomic and Molecular Physics, and Optics (75 citations) and Electronic, Optical and Magnetic Materials (35 citations). S. V. Yakovlev has collaborated with scholars based in Russia, France and Georgia. Frequent co-authors include О. V. Kharchenko, О. А. Romanovskii, L. V. Lutsev, M. Yu. Petrov, L. M. Blinov, S. P. Palto, А. А. Ионин, А. А. Котков, Yu. M. Klimachëv and G. G. Matvienko. Their work appears in journals such as Optical Memory and Neural Networks, Journal of Applied Physics, Applied Physics Letters, Journal of Experimental and Theoretical Physics Letters and Atmosphere.
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.