S. Resconi
Impact in
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- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Black Holes and Theoretical Physics
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- Parallel Computing and Optimization Techniques
Papers in
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- Particle physics theoretical and experimental studies 5
- Particle Detector Development and Performance 3
- High-Energy Particle Collisions Research 2
- Dark Matter and Cosmic Phenomena 2
- Astrophysics and Cosmic Phenomena 1
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- Parallel Computing and Optimization Techniques 1
- Co-authors
- D. CavalliE. Richter-Wa̧sD. FroidevauxL. PoggioliFabiola GianottiJ. T. ShankS. YoussefA. Vaniachine
- Journals
- International Journal of Modern Physics A (1 paper)Nuclear Physics B - Proceedings Supplements (1 paper)Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (1 paper)PubMed (1 paper)
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
S. Resconi
5 papers receiving 51 citations
Peers
Comparison fields: 5 of 14
- Nuclear and High Energy Physics 34
- Hardware and Architecture 7
- Computer Networks and Communications 15
- Information Systems and Management 4
- Astronomy and Astrophysics 7
Countries citing papers authored by S. Resconi
This map shows the geographic impact of S. Resconi'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 S. Resconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Resconi more than expected).
Fields of papers citing papers by S. Resconi
This network shows the impact of papers produced by S. Resconi. 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 S. Resconi. The network helps show where S. Resconi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S. Resconi, 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 | 2024 | 0 | |
| 2 | Expected performance of missing transverse momentum reconstruction for the ATLAS detector at $\sqrt{s}= 13~\text{TeV}$ | 2015 | 0 |
| 3 | 2007 | 1 | |
| 4 | 2006 | 8 | |
| 5 | Grid—Enabled Data Access in the ATLAS Athena Framework | 2001 | 9 |
| 6 | 1999 | 2 | |
| 7 | 1998 | 32 |
About S. Resconi
S. Resconi is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Information Systems and Management, Computer Networks and Communications and Infectious Diseases, having authored 7 papers that have together received 52 indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (5 papers), Distributed and Parallel Computing Systems (3 papers), Particle Detector Development and Performance (3 papers), Advanced Data Storage Technologies (3 papers), High-Energy Particle Collisions Research (2 papers), Dark Matter and Cosmic Phenomena (2 papers), Astrophysics and Cosmic Phenomena (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (34 citations), Hardware and Architecture (7 citations), Computer Networks and Communications (15 citations), Information Systems and Management (4 citations) and Astronomy and Astrophysics (7 citations). S. Resconi has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include D. Cavalli, E. Richter-Wa̧s, D. Froidevaux, L. Poggioli, Fabiola Gianotti, J. T. Shank, S. Youssef, A. Vaniachine, D. Malon and E.N. May. Their work appears in journals such as International Journal of Modern Physics A, Nuclear Physics B - Proceedings Supplements, Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) and PubMed.
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.