F. Fassi
Impact in
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- Particle physics theoretical and experimental studies
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
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- Scientific Computing and Data Management
Papers in
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 3
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- Particle Detector Development and Performance 4
- Dark Matter and Cosmic Phenomena 1
- Particle physics theoretical and experimental studies 1
- Co-authors
- J. Salt (3 shared papers)S. González de la Hoz (3 shared papers)L. Truong (1 shared paper)L. March (3 shared papers)E. Ros (1 shared paper)M. Zaazoua (1 shared paper)J. Sánchez (4 shared papers)K. Assamagan (1 shared paper)
- Journals
- The European Physical Journal C (1 paper)Lecture notes in computer science (1 paper)Journal of Physics Conference Series (3 papers)CERN Document Server (European Organization for Nuclear Research) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesSpainMorocco
In The Last Decade
F. Fassi
5 papers receiving 13 citations
Peers
Comparison fields: 5 of 9
- Nuclear and High Energy Physics 9
- Information Systems and Management 3
- Computer Networks and Communications 9
- Astronomy and Astrophysics 3
- Information Systems 1
Countries citing papers authored by F. Fassi
This map shows the geographic impact of F. Fassi'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. Fassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Fassi more than expected).
Fields of papers citing papers by F. Fassi
This network shows the impact of papers produced by F. Fassi. 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. Fassi. The network helps show where F. Fassi may publish in the future.
Co-authors
The 25 scholars most cited alongside F. Fassi, 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 | 2008 | 5 | |
| 2 | 2022 | 5 | |
| 3 | 2012 | 2 | |
| 4 | 2008 | 1 | |
| 5 | 2005 | 1 | |
| 6 | 2017 | 0 | |
| 7 | 2005 | 0 |
About F. Fassi
F. Fassi is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Astronomy and Astrophysics and Infectious Diseases, having authored 7 papers that have together received 14 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Scientific Computing and Data Management (4 papers), Particle Detector Development and Performance (4 papers), Advanced Data Storage Technologies (3 papers), Dark Matter and Cosmic Phenomena (1 paper), Particle physics theoretical and experimental studies (1 paper), Cosmology and Gravitation Theories (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (9 citations), Information Systems and Management (3 citations), Computer Networks and Communications (9 citations), Astronomy and Astrophysics (3 citations) and Information Systems (1 citation). F. Fassi has collaborated with scholars based in United States, Spain and Morocco. Frequent co-authors include J. Salt, S. González de la Hoz, L. Truong, L. March, E. Ros, M. Zaazoua, J. Sánchez, K. Assamagan, M. Kaci and S. Albrand. Their work appears in journals such as The European Physical Journal C, Lecture notes in computer science, Journal of Physics Conference Series, CERN Document Server (European Organization for Nuclear Research) and arXiv (Cornell University).
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.