V. Fadeyev
- Radiation top 10%
- Radiation Detection and Scintillator Technologies 17
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- Particle Detector Development and Performance 31
- Particle physics theoretical and experimental studies 5
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- Radiation Effects in Electronics 7
- CCD and CMOS Imaging Sensors 6
- Advancements in Semiconductor Devices and Circuit Design 6
- Silicon and Solar Cell Technologies 5
- Semiconductor materials and devices 4
- Co-authors
- S. KachiguineA. M. LitkeW. DąbrowskiPaweł HottowyEvgueniy V. LubenovAlexander SherMargarida AgrochãoMarkus Meister
- Journals
- Nature Neuroscience (1 paper)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (24 papers)Solid-State Electronics (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
V. Fadeyev
27 papers receiving 243 citations
Peers
Comparison fields: 5 of 55
- Cellular and Molecular Neuroscience 112
- Radiation 50
- Nuclear and High Energy Physics 73
- Cognitive Neuroscience 83
- Electrical and Electronic Engineering 115
Countries citing papers authored by V. Fadeyev
This map shows the geographic impact of V. Fadeyev'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 V. Fadeyev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Fadeyev more than expected).
Fields of papers citing papers by V. Fadeyev
This network shows the impact of papers produced by V. Fadeyev. 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 V. Fadeyev. The network helps show where V. Fadeyev may publish in the future.
Co-authorship network
The 25 scholars most cited alongside V. Fadeyev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2022 | 0 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 3 | |
| 12 | 2016 | 1 | |
| 13 | 2016 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 31 | |
| 16 | 2013 | 9 | |
| 17 | 2011 | 149 | |
| 18 | 2011 | 1 | |
| 19 | 2003 | 1 | |
| 20 | 1996 | 5 |
About V. Fadeyev
V. Fadeyev is a scholar working on Nuclear and High Energy Physics, Radiation and Electrical and Electronic Engineering, having authored 39 papers that have together received 250 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (31 papers), Radiation Detection and Scintillator Technologies (17 papers), Radiation Effects in Electronics (7 papers), CCD and CMOS Imaging Sensors (6 papers), Advancements in Semiconductor Devices and Circuit Design (6 papers), Silicon and Solar Cell Technologies (5 papers), Particle physics theoretical and experimental studies (5 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (112 citations), Radiation (50 citations) and Nuclear and High Energy Physics (73 citations). V. Fadeyev has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include S. Kachiguine, A. M. Litke, W. Dąbrowski, Paweł Hottowy, Evgueniy V. Lubenov, Alexander Sher, Margarida Agrochão, Markus Meister, Naoshige Uchida and Athanassios G. Siapas. Their work appears in journals such as Nature Neuroscience, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Solid-State Electronics.
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.