Non-invasive mapping methods for pigments analysis of Roman mural paintings
Bibliographic Data
| ID | 4663363 |
|---|---|
| Authors | Alice Dal Fovo (0000-0001-7960-2546, National Institute of Optics), Anna Mazzinghi (0000-0001-5468-7619, University of Florence), Sergio Omarini (National Institute of Optics), Enrico Pampaloni, Chiara Ruberto (0000-0003-0321-7160, Istituto Nazionale di Fisica Nucleare), Jana Striova (0000-0003-0790-4689, National Institute of Optics), Raffaella Fontana (0000-0002-7663-1277, National Institute of Optics, corresponding author) |
| Year | 2020 |
| Volume | 43 |
| Pages | 311-318 |
| Publication date | 2020-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Heritage (JOURNAL) |
| Journal identifiers | ISSN: 1296-2074 • E-ISSN: 1778-3674 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.culher.2019.12.002 |
| OpenAlex | W3001444518 |
| Language | EN |
| Citations received | 9 |
| References cited | 18 |
Archaeology · Art · Cultural heritage · Geography · Mineralogy · Multispectral image · Mural · Painting · Polychrome · Remote sensing · Visual arts · Building materials and conservation · Cultural Heritage Materials Analysis · Geochemistry and Geologic Mapping · Geology
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An artificial intelligence-based semiquantitative method based on visible spectroscopy and imaging to analyse inorganic red pigments in wall paintings
| Unique citing works | 9 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2020 - 2026 (7) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |