M. Arba
Impact in
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- High-Energy Particle Collisions Research
- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
- Dark Matter and Cosmic Phenomena
- Quantum Chromodynamics and Particle Interactions
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- Distributed and Parallel Computing Systems
Papers in
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- Particle Detector Development and Performance 9
- Dark Matter and Cosmic Phenomena 2
- Genetics 2
- Glioma Diagnosis and Treatment 1
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 1
- Co-authors
- Irene Messana (4 shared papers)Maria Teresa Sanna (4 shared papers)Massimo Castagnola (4 shared papers)Tiziana Cabras (3 shared papers)Concezio Di Rocco (1 shared paper)Luca Massimi (1 shared paper)Federica Iavarone (3 shared papers)Federica Vincenzoni (3 shared papers)
- Journals
- Journal of Instrumentation (4 papers)The European Physical Journal C (3 papers)Archives of Oral Biology (1 paper)Journal of Proteome Research (1 paper)Journal of Proteomics (1 paper)
- Partner nations
- ItalySwitzerlandFrance
In The Last Decade
M. Arba
17 papers receiving 1.1k citations
M. Arba's Hit Papers
Peers
Comparison fields: 5 of 40
- Nuclear and High Energy Physics 889
- Computer Networks and Communications 33
- Periodontics 9
- Radiation 10
- Spectroscopy 17
Countries citing papers authored by M. Arba
This map shows the geographic impact of M. Arba'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. Arba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Arba more than expected).
Fields of papers citing papers by M. Arba
This network shows the impact of papers produced by M. Arba. 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. Arba. The network helps show where M. Arba may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Arba, 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 | The ALICE experiment at the CERN LHC Hit paper breakdown → | 2008 | 982 |
| 2 | 2015 | 38 | |
| 3 | 2024 | 30 | |
| 4 | 2020 | 29 | |
| 5 | 1994 | 27 | |
| 6 | 2015 | 27 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 21 | |
| 9 | 2018 | 16 | |
| 10 | 2021 | 9 | |
| 11 | 2016 | 6 | |
| 12 | 2021 | 5 | |
| 13 | Radiation studies for the Readout Electronic of the ALICE Dimuon Forward Spectrometer | 2005 | 2 |
| 14 | 2020 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2021 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2022 | 0 |
About M. Arba
M. Arba is a scholar working on Nuclear and High Energy Physics, Genetics, Physiology, Endocrinology, Diabetes and Metabolism and Nuclear Energy and Engineering, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Particle Detector Development and Performance (9 papers), Salivary Gland Disorders and Functions (3 papers), Dark Matter and Cosmic Phenomena (2 papers), Glioma Diagnosis and Treatment (1 paper), Thyroid Disorders and Treatments (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (889 citations), Computer Networks and Communications (33 citations), Periodontics (9 citations), Radiation (10 citations) and Spectroscopy (17 citations). M. Arba has collaborated with scholars based in Italy, Switzerland and France. Frequent co-authors include Irene Messana, Maria Teresa Sanna, Massimo Castagnola, Tiziana Cabras, Concezio Di Rocco, Luca Massimi, Federica Iavarone, Federica Vincenzoni, Fernanda Velluzzi and Gianpiero Tamburrini. Their work appears in journals such as Journal of Instrumentation, The European Physical Journal C, Archives of Oral Biology, Journal of Proteome Research and Journal of Proteomics.
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.