P. Parygin
- Radiation
- Artificial Intelligence
- Nuclear and High Energy Physics
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- R. KlannerMarco RamilliV. PopovE. GaruttiG. CummingsJ. SchwandtA. KhukhunaishviliDavid S. Yu
- Topics
- Anomaly Detection Techniques and Applications (4 papers)COVID-19 diagnosis using AI (3 papers)Particle Detector Development and Performance (2 papers)
- Journals
- SensorsNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated EquipmentJournal of Instrumentation
- Partner nations
- NorwayUnited StatesRussia
In The Last Decade
P. Parygin
6 papers receiving 29 citations
Peers
Comparison fields: 5 of 16
- Radiation 14
- Artificial Intelligence 12
- Nuclear and High Energy Physics 11
- Electrical and Electronic Engineering 7
- Radiology, Nuclear Medicine and Imaging 6
Countries citing papers authored by P. Parygin
This map shows the geographic impact of P. Parygin'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 P. Parygin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Parygin more than expected).
Fields of papers citing papers by P. Parygin
This network shows the impact of papers produced by P. Parygin. 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 P. Parygin. The network helps show where P. Parygin may publish in the future.
Co-authorship network of co-authors of P. Parygin
This figure shows the co-authorship network connecting the top 25 collaborators of P. Parygin. A scholar is included among the top collaborators of P. Parygin 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 P. Parygin. P. Parygin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 13 |
About P. Parygin
P. Parygin is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 30 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), COVID-19 diagnosis using AI (3 papers) and Particle Detector Development and Performance (2 papers). The work is most often cited by research in Radiation (14 citations), Nuclear and High Energy Physics (11 citations) and Instrumentation (2 citations). P. Parygin has collaborated with scholars based in Norway, United States and Russia. Frequent co-authors include R. Klanner, Marco Ramilli, V. Popov, E. Garutti, G. Cummings, J. Schwandt, A. Khukhunaishvili, David S. Yu, E. Popova and S. I. Cooper. Their work appears in journals such as Sensors, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Instrumentation.
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.