T. Tedeschi
Impact in
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- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Caching and Content Delivery
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- Parallel Computing and Optimization Techniques
Papers in
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- Advanced Data Storage Technologies 6
- Distributed and Parallel Computing Systems 3
- Distributed systems and fault tolerance 2
- Caching and Content Delivery 2
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- Particle Detector Development and Performance 2
- Co-authors
- D. Ciangottini (7 shared papers)Valentin Kuznetsov (2 shared papers)Daniele Cesini (1 shared paper)Valentina Poggioni (3 shared papers)D. Spiga (6 shared papers)Marco Baioletti (3 shared papers)T. Boccali (3 shared papers)M. Sgaravatto (1 shared paper)
- Journals
- Journal of Grid Computing (1 paper)Computer Physics Communications (1 paper)Cluster Computing (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)EPJ Web of Conferences (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
T. Tedeschi
6 papers receiving 14 citations
Peers
Comparison fields: 5 of 5
- Computer Networks and Communications 11
- Hardware and Architecture 3
- Information Systems and Management 3
- Nuclear and High Energy Physics 5
- Information Systems 5
Countries citing papers authored by T. Tedeschi
This map shows the geographic impact of T. Tedeschi'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. Tedeschi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Tedeschi more than expected).
Fields of papers citing papers by T. Tedeschi
This network shows the impact of papers produced by T. Tedeschi. 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. Tedeschi. The network helps show where T. Tedeschi may publish in the future.
Co-authors
The 16 scholars most cited alongside T. Tedeschi, 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 | 2020 | 5 | |
| 2 | 2021 | 3 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 2 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2025 | 0 |
About T. Tedeschi
T. Tedeschi is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems, Information Systems and Management and Infectious Diseases, having authored 7 papers that have together received 14 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (6 papers), Distributed and Parallel Computing Systems (3 papers), Scientific Computing and Data Management (2 papers), Cloud Computing and Resource Management (2 papers), Particle Detector Development and Performance (2 papers), Distributed systems and fault tolerance (2 papers), Caching and Content Delivery (2 papers) and Cloud Data Security Solutions (1 paper). The work is most often cited by research in Computer Networks and Communications (11 citations), Hardware and Architecture (3 citations), Information Systems and Management (3 citations), Nuclear and High Energy Physics (5 citations) and Information Systems (5 citations). T. Tedeschi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include D. Ciangottini, Valentin Kuznetsov, Daniele Cesini, Valentina Poggioni, D. Spiga, Marco Baioletti, T. Boccali, M. Sgaravatto, A. Filipčič and A. Troja. Their work appears in journals such as Journal of Grid Computing, Computer Physics Communications, Cluster Computing, 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.