A. Undrus
Impact in
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- Particle physics theoretical and experimental studies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
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- Scientific Computing and Data Management
Papers in
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 3
- Caching and Content Delivery 1
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- Particle physics theoretical and experimental studies 3
- Particle Detector Development and Performance 2
- Quantum Chromodynamics and Particle Interactions 1
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- P. Bunc̆ić (1 shared paper)Y. Yao (1 shared paper)A. De Salvo (1 shared paper)Ashot Harutyunyan (1 shared paper)Jakob Blomer (1 shared paper)A.I. Vorobiov (2 shared papers)V. I. Telnov (2 shared papers)S. Klimenko (2 shared papers)
- Journals
- The European Physical Journal C (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Physics Conference Series (3 papers)Zeitschrift für Physik C (1 paper)
- Partner nations
- United StatesRussiaSwitzerland
In The Last Decade
A. Undrus
6 papers receiving 35 citations
Peers
Comparison fields: 5 of 11
- Nuclear and High Energy Physics 26
- Information Systems and Management 9
- Computer Networks and Communications 16
- Condensed Matter Physics 1
- Artificial Intelligence 2
Countries citing papers authored by A. Undrus
This map shows the geographic impact of A. Undrus'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. Undrus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Undrus more than expected).
Fields of papers citing papers by A. Undrus
This network shows the impact of papers produced by A. Undrus. 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. Undrus. The network helps show where A. Undrus may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Undrus, 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 | 1996 | 16 | |
| 2 | 2012 | 12 | |
| 3 | 1994 | 3 | |
| 4 | 2012 | 2 | |
| 5 | 2018 | 1 | |
| 6 | 2019 | 1 |
About A. Undrus
A. Undrus is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Electrical and Electronic Engineering and Infectious Diseases, having authored 6 papers that have together received 35 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (3 papers), Particle physics theoretical and experimental studies (3 papers), Particle Detector Development and Performance (2 papers), Quantum Chromodynamics and Particle Interactions (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Scientific Computing and Data Management (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (26 citations), Information Systems and Management (9 citations), Computer Networks and Communications (16 citations), Condensed Matter Physics (1 citation) and Artificial Intelligence (2 citations). A. Undrus has collaborated with scholars based in United States, Russia and Switzerland. Frequent co-authors include P. Bunc̆ić, Y. Yao, A. De Salvo, Ashot Harutyunyan, Jakob Blomer, A.I. Vorobiov, V. I. Telnov, S. Klimenko, V.S. Panin and I.Ya. Protopopov. Their work appears in journals such as The European Physical Journal C, SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Zeitschrift für Physik C.
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.