С. А. Гуда
Impact in
Papers in
-
- Machine Learning in Materials Science 23
- X-ray Diffraction in Crystallography 10
- Catalytic Processes in Materials Science 7
- Boron and Carbon Nanomaterials Research 4
- Radiation 12
- X-ray Spectroscopy and Fluorescence Analysis 12
- Co-authors
- Alexander A. Guda (37 shared papers)А. В. Солдатов (29 shared papers)Aram L. Bugaev (16 shared papers)Carlo Lamberti (8 shared papers)Andrea Martini (8 shared papers)Mikhail A. Soldatov (6 shared papers)Yves Joly (5 shared papers)Kirill A. Lomachenko (6 shared papers)
- Journals
- The Journal of Physical Chemistry C (6 papers)Journal of Chemical Theory and Computation (3 papers)The Journal of Physical Chemistry A (2 papers)Journal of the American Chemical Society (2 papers)Siberian Mathematical Journal (2 papers)
- Partner nations
- RussiaSwitzerlandItaly
In The Last Decade
С. А. Гуда
54 papers receiving 962 citations
Peers
Comparison fields: 5 of 102
- Catalysis 155
- Radiation 132
- Materials Chemistry 649
- Renewable Energy, Sustainability and the Environment 161
- Inorganic Chemistry 130
Countries citing papers authored by С. А. Гуда
This map shows the geographic impact of С. А. Гуда'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. А. Гуда with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites С. А. Гуда more than expected).
Fields of papers citing papers by С. А. Гуда
This network shows the impact of papers produced by С. А. Гуда. 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. А. Гуда. The network helps show where С. А. Гуда may publish in the future.
Co-authors
The 25 scholars most cited alongside С. А. Гуда, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 177 | |
| 2 | 2021 | 129 | |
| 3 | 2018 | 86 | |
| 4 | 2019 | 85 | |
| 5 | 2021 | 50 | |
| 6 | 2022 | 37 | |
| 7 | 2020 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2016 | 23 | |
| 12 | 2016 | 22 | |
| 13 | 2023 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2021 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2017 | 13 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 11 | |
| 20 | 2021 | 11 |
About С. А. Гуда
С. А. Гуда is a scholar working on Materials Chemistry, Radiation, Electronic, Optical and Magnetic Materials, Mechanical Engineering and Catalysis, having authored 61 papers that have together received 973 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (23 papers), X-ray Spectroscopy and Fluorescence Analysis (12 papers), X-ray Diffraction in Crystallography (10 papers), Catalytic Processes in Materials Science (7 papers), Catalysis and Oxidation Reactions (6 papers), Intermetallics and Advanced Alloy Properties (5 papers), Advanced Chemical Physics Studies (4 papers) and Boron and Carbon Nanomaterials Research (4 papers). The work is most often cited by research in Catalysis (155 citations), Radiation (132 citations), Materials Chemistry (649 citations), Renewable Energy, Sustainability and the Environment (161 citations) and Inorganic Chemistry (130 citations). С. А. Гуда has collaborated with scholars based in Russia, Switzerland and Italy. Frequent co-authors include Alexander A. Guda, А. В. Солдатов, Aram L. Bugaev, Carlo Lamberti, Andrea Martini, Mikhail A. Soldatov, Yves Joly, Kirill A. Lomachenko, Grigory Smolentsev and Christian Bressler. Their work appears in journals such as The Journal of Physical Chemistry C, Journal of Chemical Theory and Computation, The Journal of Physical Chemistry A, Journal of the American Chemical Society and Siberian Mathematical Journal.
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.