H. Severini
Impact in
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- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Distributed and Parallel Computing Systems 4
- Advanced Data Storage Technologies 3
- Distributed systems and fault tolerance 1
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- Scientific Computing and Data Management 2
- Co-authors
- G. Boyd (1 shared paper)P. Skubic (1 shared paper)T. Maeno (1 shared paper)R. Walker (1 shared paper)Manoj K. Jha (1 shared paper)D. R. M. Crooks (1 shared paper)V. Tsulaia (1 shared paper)A. Washbrook (1 shared paper)
- Journals
- Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Journal of Physics Conference Series (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)EPJ Web of Conferences (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
H. Severini
4 papers receiving 15 citations
Peers
Comparison fields: 5 of 9
- Hardware and Architecture 9
- Computer Networks and Communications 15
- Nuclear and High Energy Physics 8
- Information Systems and Management 4
- Radiation 2
Countries citing papers authored by H. Severini
This map shows the geographic impact of H. Severini'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 H. Severini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Severini more than expected).
Fields of papers citing papers by H. Severini
This network shows the impact of papers produced by H. Severini. 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 H. Severini. The network helps show where H. Severini may publish in the future.
Co-authors
The 25 scholars most cited alongside H. Severini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About H. Severini
H. Severini is a scholar working on Computer Networks and Communications, Information Systems and Management, Radiation, Hardware and Architecture and Artificial Intelligence, having authored 5 papers that have together received 21 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (4 papers), Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (2 papers), 3D IC and TSV technologies (1 paper), Particle Detector Development and Performance (1 paper), Distributed systems and fault tolerance (1 paper), Parallel Computing and Optimization Techniques (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Hardware and Architecture (9 citations), Computer Networks and Communications (15 citations), Nuclear and High Energy Physics (8 citations), Information Systems and Management (4 citations) and Radiation (2 citations). H. Severini has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include G. Boyd, P. Skubic, T. Maeno, R. Walker, Manoj K. Jha, D. R. M. Crooks, V. Tsulaia, A. Washbrook, P. Calafiura and E.N. May. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Physics Conference Series, 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.