M. Gulmini
Impact in
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- Scientific Computing and Data Management
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Peer-to-Peer Network Technologies
Papers in
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- Distributed and Parallel Computing Systems 5
- Advanced Data Storage Technologies 3
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- Particle Detector Development and Performance 3
- Particle physics theoretical and experimental studies 1
- Co-authors
- G. Maron (5 shared papers)Salvatore Orlando (2 shared papers)Silvano Squizzato (2 shared papers)Andrea Petrucci (2 shared papers)Francesco Lelli (2 shared papers)E Frizziero (3 shared papers)A. Oh (1 shared paper)Sergio Traldi (2 shared papers)
- Journals
- International Journal of Web and Grid Services (1 paper)IEEE Transactions on Nuclear Science (1 paper)Journal of Physics Conference Series (2 papers)
- Partner nations
- ItalyRomaniaSwitzerland
In The Last Decade
M. Gulmini
5 papers receiving 47 citations
Peers
Comparison fields: 5 of 22
- Information Systems and Management 22
- Computer Networks and Communications 44
- Hardware and Architecture 12
- Radiation 5
- Nuclear and High Energy Physics 7
Countries citing papers authored by M. Gulmini
This map shows the geographic impact of M. Gulmini'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. Gulmini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gulmini more than expected).
Fields of papers citing papers by M. Gulmini
This network shows the impact of papers produced by M. Gulmini. 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. Gulmini. The network helps show where M. Gulmini may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Gulmini, 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 | 2006 | 27 | |
| 2 | 2007 | 16 | |
| 3 | 2015 | 5 | |
| 4 | 2014 | 4 | |
| 5 | 2015 | 3 | |
| 6 | The validation system for the Barrel Muon Chambers at LNL - The cosmic setup - | 2003 | 1 |
| 7 | Java Based Run Control for CMS Small DAQ Systems | 2005 | 0 |
About M. Gulmini
M. Gulmini is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics, Information Systems and Management, Information Systems and Mechanics of Materials, having authored 7 papers that have together received 56 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Particle Detector Development and Performance (3 papers), Advanced Data Storage Technologies (3 papers), Scientific Computing and Data Management (2 papers), Cloud Computing and Resource Management (1 paper), Muon and positron interactions and applications (1 paper), Particle physics theoretical and experimental studies (1 paper) and Environmental Monitoring and Data Management (1 paper). The work is most often cited by research in Information Systems and Management (22 citations), Computer Networks and Communications (44 citations), Hardware and Architecture (12 citations), Radiation (5 citations) and Nuclear and High Energy Physics (7 citations). M. Gulmini has collaborated with scholars based in Italy, Romania and Switzerland. Frequent co-authors include G. Maron, Salvatore Orlando, Silvano Squizzato, Andrea Petrucci, Francesco Lelli, E Frizziero, A. Oh, Sergio Traldi, M. Sgaravatto and S. Fantinel. Their work appears in journals such as International Journal of Web and Grid Services, IEEE Transactions on Nuclear Science and Journal of Physics Conference Series.
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.