A. Menchikov
Impact in
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- Dark Matter and Cosmic Phenomena
- Astrophysics and Cosmic Phenomena
- Neutrino Physics Research
- Particle Detector Development and Performance
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- Radiation Detection and Scintillator Technologies
Papers in
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- Particle Detector Development and Performance 5
- Dark Matter and Cosmic Phenomena 1
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- Neural Networks and Applications 2
- Computational Physics and Python Applications 1
- Co-authors
- N. Kunka (1 shared paper)M. Kleifges (1 shared paper)A. Kopmann (1 shared paper)D. Tcherniakhovski (2 shared papers)H. Lüdecke (3 shared papers)R. Nahnhauer (3 shared papers)H. Gemmeke (4 shared papers)J. Bähr (3 shared papers)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (4 papers)1996 IEEE Nuclear Science Symposium. Conference Record (1 paper)Design, Automation, and Test in Europe (1 paper)ICRC (1 paper)
In The Last Decade
A. Menchikov
4 papers receiving 11 citations
Peers
Comparison fields: 5 of 13
- Nuclear and High Energy Physics 8
- Radiation 5
- Computer Graphics and Computer-Aided Design 1
- Hardware and Architecture 1
- Surfaces, Coatings and Films 1
Countries citing papers authored by A. Menchikov
This map shows the geographic impact of A. Menchikov'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 A. Menchikov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Menchikov more than expected).
Fields of papers citing papers by A. Menchikov
This network shows the impact of papers produced by A. Menchikov. 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 A. Menchikov. The network helps show where A. Menchikov may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Menchikov, 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 | First Measurements with the AUGER Fluorescence Detector Data Acquisition System | 2001 | 5 |
| 2 | 2009 | 3 | |
| 3 | 1994 | 2 | |
| 4 | 1999 | 2 | |
| 5 | 1996 | 1 | |
| 6 | 1998 | 0 | |
| 7 | 2002 | 0 |
About A. Menchikov
A. Menchikov is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence, Biomedical Engineering, Astronomy and Astrophysics and Radiation, having authored 7 papers that have together received 13 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (5 papers), Neural Networks and Applications (2 papers), Photocathodes and Microchannel Plates (2 papers), Dark Matter and Cosmic Phenomena (1 paper), Radio Astronomy Observations and Technology (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper), Radiation Detection and Scintillator Technologies (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (8 citations), Radiation (5 citations), Computer Graphics and Computer-Aided Design (1 citation), Hardware and Architecture (1 citation) and Surfaces, Coatings and Films (1 citation). A. Menchikov has collaborated with scholars based in Germany and Russia. Frequent co-authors include N. Kunka, M. Kleifges, A. Kopmann, D. Tcherniakhovski, H. Lüdecke, R. Nahnhauer, H. Gemmeke, J. Bähr, Karl‐Heinz Hiller and K. H. Hiller. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, 1996 IEEE Nuclear Science Symposium. Conference Record, Design, Automation, and Test in Europe and ICRC.
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.