F. G. Sciacca
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- Advanced Data Storage Technologies 7
- Distributed and Parallel Computing Systems 6
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- Particle physics theoretical and experimental studies 3
- Particle Detector Development and Performance 3
- Co-authors
- S. Haug (3 shared papers)Ramón Llamas (1 shared paper)F. Legger (1 shared paper)D. van der Ster (1 shared paper)M. Weber (2 shared papers)J. Elmsheuser (1 shared paper)G. Hall (1 shared paper)T. Glebe (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 (4 papers)EPJ Web of Conferences (2 papers)
- Partner nations
- SwitzerlandGermany
In The Last Decade
F. G. Sciacca
7 papers receiving 14 citations
Peers
Comparison fields: 5 of 8
- Information Systems and Management 4
- Computer Networks and Communications 12
- Nuclear and High Energy Physics 6
- Hardware and Architecture 1
- Information Systems 3
Countries citing papers authored by F. G. Sciacca
This map shows the geographic impact of F. G. Sciacca'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 F. G. Sciacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. G. Sciacca more than expected).
Fields of papers citing papers by F. G. Sciacca
This network shows the impact of papers produced by F. G. Sciacca. 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 F. G. Sciacca. The network helps show where F. G. Sciacca may publish in the future.
Co-authors
The 25 scholars most cited alongside F. G. Sciacca, 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 | 2017 | 4 | |
| 2 | 2014 | 4 | |
| 3 | 2017 | 2 | |
| 4 | 2001 | 2 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 1 | |
| 7 | 2015 | 1 | |
| 8 | A 128-channel analog pipeline chip for MSGC readout at LHC | 1998 | 0 |
About F. G. Sciacca
F. G. Sciacca is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Hardware and Architecture and Computational Theory and Mathematics, having authored 8 papers that have together received 15 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Distributed and Parallel Computing Systems (6 papers), Particle physics theoretical and experimental studies (3 papers), Scientific Computing and Data Management (3 papers), Particle Detector Development and Performance (3 papers), Cellular Automata and Applications (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Information Systems and Management (4 citations), Computer Networks and Communications (12 citations), Nuclear and High Energy Physics (6 citations), Hardware and Architecture (1 citation) and Information Systems (3 citations). F. G. Sciacca has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include S. Haug, Ramón Llamas, F. Legger, D. van der Ster, M. Weber, J. Elmsheuser, G. Hall, T. Glebe, E. Sexauer and S. Masciocchi. 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 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.