V. Genchev
Impact in
- Nuclear and High Energy Physics top 10%
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Black Holes and Theoretical Physics
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Neutrino Physics Research
- Particle Detector Development and Performance
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- Cosmology and Gravitation Theories
Papers in
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 2
- Dark Matter and Cosmic Phenomena 1
- Neutrino Physics Research 1
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- Cosmology and Gravitation Theories 1
- Co-authors
- S. Kunori (2 shared papers)Daniel J. Graham (1 shared paper)A. Kharchilava (1 shared paper)F. Charles (1 shared paper)S. Abdullin (1 shared paper)Ž. Antunović (1 shared paper)I. Iashvili (1 shared paper)L. Rurua (1 shared paper)
- Journals
- Journal of Instrumentation (2 papers)The European Physical Journal C (1 paper)Journal of Physics G Nuclear and Particle Physics (1 paper)
- Partner nations
- BulgariaBelgiumUnited States
In The Last Decade
V. Genchev
4 papers receiving 90 citations
Peers
Comparison fields: 5 of 8
- Nuclear and High Energy Physics 93
- Astronomy and Astrophysics 32
- Spectroscopy 1
- Artificial Intelligence 2
- Computer Vision and Pattern Recognition 1
Countries citing papers authored by V. Genchev
This map shows the geographic impact of V. Genchev'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. Genchev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites V. Genchev more than expected).
Fields of papers citing papers by V. Genchev
This network shows the impact of papers produced by V. Genchev. 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. Genchev. The network helps show where V. Genchev may publish in the future.
Co-authors
The 25 scholars most cited alongside V. Genchev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About V. Genchev
V. Genchev is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Mechanics of Materials, Radiation and Electrical and Electronic Engineering, having authored 4 papers that have together received 94 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (3 papers), Particle physics theoretical and experimental studies (2 papers), Silicon Carbide Semiconductor Technologies (1 paper), Magnetic Field Sensors Techniques (1 paper), Cosmology and Gravitation Theories (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Neutrino Physics Research (1 paper) and Muon and positron interactions and applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (93 citations), Astronomy and Astrophysics (32 citations), Spectroscopy (1 citation), Artificial Intelligence (2 citations) and Computer Vision and Pattern Recognition (1 citation). V. Genchev has collaborated with scholars based in Bulgaria, Belgium and United States. Frequent co-authors include S. Kunori, Daniel J. Graham, A. Kharchilava, F. Charles, S. Abdullin, Ž. Antunović, I. Iashvili, L. Rurua, M. Dželalija and N.V. Stepanov. Their work appears in journals such as Journal of Instrumentation, The European Physical Journal C and Journal of Physics G Nuclear and Particle Physics.
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.