T. Diotalevi
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Neutrino Physics Research
Papers in
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- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
- Software System Performance and Reliability 1
- Distributed systems and fault tolerance 1
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- Particle physics theoretical and experimental studies 4
- Particle Detector Development and Performance 3
- Neutrino Physics Research 1
- Co-authors
- D. Bonacorsi (6 shared papers)Marco Lorusso (1 shared paper)Simone Rossi Tisbeni (2 shared papers)Elisabetta Ronchieri (1 shared paper)L. Giommi (3 shared papers)R. Travaglini (1 shared paper)C. Battilana (1 shared paper)Lucia Morganti (1 shared paper)
- Journals
- Machine Learning Science and Technology (1 paper)Journal of Physics Conference Series (1 paper)Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (2 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)EPJ Web of Conferences (1 paper)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
T. Diotalevi
6 papers receiving 16 citations
Peers
Comparison fields: 5 of 12
- Medical Laboratory Technology 1
- Nuclear and High Energy Physics 7
- Information Systems and Management 3
- Computer Networks and Communications 9
- Hardware and Architecture 2
Countries citing papers authored by T. Diotalevi
This map shows the geographic impact of T. Diotalevi'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 T. Diotalevi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Diotalevi more than expected).
Fields of papers citing papers by T. Diotalevi
This network shows the impact of papers produced by T. Diotalevi. 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 T. Diotalevi. The network helps show where T. Diotalevi may publish in the future.
Co-authors
The 22 scholars most cited alongside T. Diotalevi, 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 | 8 | |
| 2 | 2020 | 3 | |
| 3 | 2021 | 3 | |
| 4 | 2022 | 2 | |
| 5 | 2015 | 2 | |
| 6 | 2018 | 1 |
About T. Diotalevi
T. Diotalevi is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Artificial Intelligence, Information Systems and Infectious Diseases, having authored 6 papers that have together received 19 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (4 papers), Distributed and Parallel Computing Systems (3 papers), Particle Detector Development and Performance (3 papers), Advanced Data Storage Technologies (2 papers), Software System Performance and Reliability (1 paper), Cloud Computing and Resource Management (1 paper), Neutrino Physics Research (1 paper) and Distributed systems and fault tolerance (1 paper). The work is most often cited by research in Medical Laboratory Technology (1 citation), Nuclear and High Energy Physics (7 citations), Information Systems and Management (3 citations), Computer Networks and Communications (9 citations) and Hardware and Architecture (2 citations). T. Diotalevi has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include D. Bonacorsi, Marco Lorusso, Simone Rossi Tisbeni, Elisabetta Ronchieri, L. Giommi, R. Travaglini, C. Battilana, Lucia Morganti, L. Rinaldi and M. Zvada. Their work appears in journals such as Machine Learning Science and Technology, Journal of Physics Conference Series, Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna), 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.