A. Ustyuzhanin
- Materials Chemistry
- Nuclear and High Energy Physics
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- N. KazeevM. HushchynKostya S. NovoselovA. H. Castro NetoPengru HuangDaria V. AndreevaF. RatnikovД. Деркач
- Topics
- Particle physics theoretical and experimental studies (13 papers)Advanced Data Storage Technologies (7 papers)Dark Matter and Cosmic Phenomena (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaNature NanotechnologyComputer Physics Communications
In The Last Decade
A. Ustyuzhanin
36 papers receiving 181 citations
Peers
Comparison fields: 5 of 56
- Materials Chemistry 61
- Nuclear and High Energy Physics 50
- Artificial Intelligence 39
- Electrical and Electronic Engineering 29
- Computer Networks and Communications 17
Countries citing papers authored by A. Ustyuzhanin
This map shows the geographic impact of A. Ustyuzhanin'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. Ustyuzhanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Ustyuzhanin more than expected).
Fields of papers citing papers by A. Ustyuzhanin
This network shows the impact of papers produced by A. Ustyuzhanin. 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. Ustyuzhanin. The network helps show where A. Ustyuzhanin may publish in the future.
Co-authorship network of co-authors of A. Ustyuzhanin
This figure shows the co-authorship network connecting the top 25 collaborators of A. Ustyuzhanin. A scholar is included among the top collaborators of A. Ustyuzhanin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with A. Ustyuzhanin. A. Ustyuzhanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 23 | |
| 9 | 0 | |
| 10 | 2 | |
| 11 | 30 | |
| 12 | 8 | |
| 13 | (1 + epsilon)-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets | 2 |
| 14 | 0 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | Hybrid approach to design of storage attached network simulation systems | 1 |
| 18 | 1 | |
| 19 | LHCb Topological Trigger Reoptimization | 14 |
| 20 | 1 |
About A. Ustyuzhanin
A. Ustyuzhanin is a scholar working on Nuclear and High Energy Physics, Acoustics and Ultrasonics and Information Systems and Management, having authored 46 papers that have together received 186 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (13 papers), Advanced Data Storage Technologies (7 papers) and Dark Matter and Cosmic Phenomena (6 papers). The work is most often cited by research in Nuclear and High Energy Physics (50 citations), Signal Processing (16 citations) and Radiation (12 citations). A. Ustyuzhanin has collaborated with scholars based in Russia, Singapore and Germany. Frequent co-authors include N. Kazeev, M. Hushchyn, Kostya S. Novoselov, A. H. Castro Neto, Pengru Huang, Daria V. Andreeva, F. Ratnikov, Д. Деркач, P. Ilten and V. Belavin. Their work appears in journals such as SHILAP Revista de lepidopterología, Nature Nanotechnology and Computer Physics Communications.
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.