I. Shapoval
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 8
- Advanced Data Storage Technologies 6
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- P. Calafiura (2 shared papers)Brian Swingle (1 shared paper)M. Clemencic (5 shared papers)Wibe A. de Jong (1 shared paper)Daniel Funke (2 shared papers)H. Degaudenzi (1 shared paper)R. Santinelli (1 shared paper)B. Hegner (2 shared papers)
- Journals
- Quantum (1 paper)Journal of Physics Conference Series (3 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)CERN Document Server (European Organization for Nuclear Research) (2 papers)EPJ Web of Conferences (2 papers)
- Partner nations
- SwitzerlandUnited StatesUkraine
In The Last Decade
I. Shapoval
8 papers receiving 37 citations
Peers
Comparison fields: 5 of 15
- Nuclear and High Energy Physics 20
- Computer Networks and Communications 18
- Hardware and Architecture 5
- Artificial Intelligence 15
- Statistical and Nonlinear Physics 3
Countries citing papers authored by I. Shapoval
This map shows the geographic impact of I. Shapoval'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 I. Shapoval with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. Shapoval more than expected).
Fields of papers citing papers by I. Shapoval
This network shows the impact of papers produced by I. Shapoval. 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 I. Shapoval. The network helps show where I. Shapoval may publish in the future.
Co-authors
The 13 scholars most cited alongside I. Shapoval, 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 | 2019 | 16 | |
| 2 | 2023 | 8 | |
| 3 | 2015 | 6 | |
| 4 | 2012 | 4 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 1 | |
| 7 | 2014 | 1 | |
| 8 | 2020 | 1 | |
| 9 | 2012 | 1 | |
| 10 | 2015 | 0 |
About I. Shapoval
I. Shapoval is a scholar working on Computer Networks and Communications, Hardware and Architecture, Nuclear and High Energy Physics, Information Systems and Management and Artificial Intelligence, having authored 10 papers that have together received 39 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers), Parallel Computing and Optimization Techniques (4 papers), Scientific Computing and Data Management (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Particle Detector Development and Performance (2 papers), Particle physics theoretical and experimental studies (2 papers) and Quantum Information and Cryptography (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (20 citations), Computer Networks and Communications (18 citations), Hardware and Architecture (5 citations), Artificial Intelligence (15 citations) and Statistical and Nonlinear Physics (3 citations). I. Shapoval has collaborated with scholars based in Switzerland, United States and Ukraine. Frequent co-authors include P. Calafiura, Brian Swingle, M. Clemencic, Wibe A. de Jong, Daniel Funke, H. Degaudenzi, R. Santinelli, B. Hegner, Pere Mato and M. Cattaneo. Their work appears in journals such as Quantum, Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research), CERN Document Server (European Organization for Nuclear Research) and EPJ Web of Conferences.
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.