M. Frailis
- Astronomy and Astrophysics
- Instrumentation
- Nuclear and High Energy Physics
- Computer Networks and Communications
- Statistical and Nonlinear Physics
- Co-authors
- S. de la TorreF. MarulliVito RobertoV. AllevatoA. De AngelisJ. VäliviitaH. Kurki‐SuonioE. Milotti
- Topics
- Scientific Computing and Data Management (2 papers)Distributed and Parallel Computing Systems (2 papers)Data Management and Algorithms (2 papers)
- Journals
- Physica A Statistical Mechanics and its ApplicationsEURASIP Journal on Advances in Signal ProcessingUniversity of Groningen research database (University of Groningen / Centre for Information Technology)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
M. Frailis
3 papers receiving 20 citations
Peers
Comparison fields: 5 of 18
- Astronomy and Astrophysics 18
- Instrumentation 7
- Nuclear and High Energy Physics 6
- Computer Networks and Communications 2
- Statistical and Nonlinear Physics 2
Countries citing papers authored by M. Frailis
This map shows the geographic impact of M. Frailis'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 M. Frailis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Frailis more than expected).
Fields of papers citing papers by M. Frailis
This network shows the impact of papers produced by M. Frailis. 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 M. Frailis. The network helps show where M. Frailis may publish in the future.
Co-authorship network of co-authors of M. Frailis
This figure shows the co-authorship network connecting the top 25 collaborators of M. Frailis. A scholar is included among the top collaborators of M. Frailis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Frailis. M. Frailis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | The Euclid Science Ground Segment Distributed Infrastructure: System Integration and Challenges | 0 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Data Management and Mining in Astrophysical Databases | 1 |
About M. Frailis
M. Frailis is a scholar working on Information Systems and Management, Signal Processing and Hardware and Architecture, having authored 6 papers that have together received 23 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (2 papers), Distributed and Parallel Computing Systems (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Instrumentation (7 citations), Astronomy and Astrophysics (18 citations) and Nuclear and High Energy Physics (6 citations). M. Frailis has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include S. de la Torre, F. Marulli, Vito Roberto, V. Allevato, A. De Angelis, J. Väliviita, H. Kurki‐Suonio, E. Milotti, Matteo Viel and D. Tavagnacco. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, EURASIP Journal on Advances in Signal Processing and University of Groningen research database (University of Groningen / Centre for Information Technology).
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.