| Machine learning thermobarometry and chemometry using amphibole and clinopyroxene: a window into the roots of an arc volcano (Mount Liamuiga, Saint Kitts) O Higgins, T Sheldrake, L Caricchi Contributions to Mineralogy and Petrology 177 (1), 10, 2022 | 80 | 2022 |
| A machine learning‐based approach to clinopyroxene thermobarometry: Model optimization and distribution for use in Earth sciences C Jorgenson, O Higgins, M Petrelli, F Bégué, L Caricchi Journal of Geophysical Research: Solid Earth 127 (4), e2021JB022904, 2022 | 71 | 2022 |
| Quantitative chemical mapping of plagioclase as a tool for the interpretation of volcanic stratigraphy: An example from Saint Kitts, Lesser Antilles O Higgins, T Sheldrake, L Caricchi Bulletin of Volcanology 83 (8), 51, 2021 | 17 | 2021 |
| Classification, segmentation and correlation of zoned minerals T Sheldrake, O Higgins Computers & Geosciences 156, 104876, 2021 | 14 | 2021 |
| The magmatic evolution of South-East Crater (Mt. Etna) during the February–April 2021 sequence of lava fountains from a mineral chemistry perspective A Musu, RA Corsaro, O Higgins, C Jorgenson, M Petrelli, L Caricchi Bulletin of Volcanology 85 (5), 33, 2023 | 12 | 2023 |
| New findings on compositionally distinct maar volcanoes: A case study from Acıgöl (Nevşehir) caldera (Central Anatolia, Turkey) G Uslular, G Gençalioğlu Kuşcu, F Bégué, J Ruch, M Lupi, O Higgins, ... Frontiers in Earth Science 10, 909951, 2022 | 6 | 2022 |
| Eruptive dynamics reflect crustal structure and mantle productivity beneath volcanoes O Higgins, L Caricchi Geology 51 (11), 1007-1010, 2023 | 5 | 2023 |
| Identifying Distinct Pre‐Eruptive Composition‐H2O‐Time Trends Using Plagioclase O Higgins, T Sheldrake Geochemistry, Geophysics, Geosystems 25 (2), e2023GC011369, 2024 | 2 | 2024 |
| Segmentation of zoned plagioclase to assess similarities and differences in the magmatic environment feeding eruptions through time at an oceanic arc volcano. T Sheldrake, O Higgins Goldschmidt 2023 Conference, 2023 | 2 | 2023 |
| A new calibration of the OPAM thermobarometer for anhydrous and hydrous mafic systems O Higgins, MJ Stock Journal of Petrology 65 (5), egae043, 2024 | 1 | 2024 |
| A new machine-learning single-crystal peridotitic garnet geobarometer & geothermometer G O'Sullivan, O Higgins, BC Hoare, EL Tomlinson International Kimberlite Conference: Extended Abstracts 12, 2024 | | 2024 |
| The Variability of Mineral Chemistry and Eruptive Dynamics During the February-April 2021 Sequence of Lava Fountains (South-East Crater, Mt. Etna) A Musu, R Corsaro, O Higgins, C Jorgenson, M Petrelli, L Caricchi AGU Fall Meeting Abstracts 2022, V15A-03, 2022 | | 2022 |
| Correction to: Machine learning thermobarometry and chemometry using amphibole and clinopyroxene: a window into the roots of an arc volcano (Mount Liamuiga, Saint Kitts) O Higgins, T Sheldrake, L Caricchi Contributions to Mineralogy and Petrology 177 (10), 2022 | | 2022 |
| Texturally constrained machine learning thermobarometry and chemometry of the Cumbre Vieja 2021 eruption, La Palma O Higgins, C Jorgenson, A Musu, F Rodríguez, B Coldwell, ... EGU General Assembly Conference Abstracts, EGU22-6419, 2022 | | 2022 |
| Bimodal maar volcanism in a post-collisional extensional regime: A case study of Acıgöl (Nevşehir) volcanic field (central Anatolia, Turkey) G Uslular, G Gençalioğlu-Kuşcu, J Ruch, M Lupi, O Higgins, F Bégué, ... EGU General Assembly Conference Abstracts, EGU22-10225, 2022 | | 2022 |
| Using microtomography and machine learning thermobarometry to reconcile the extreme explosivity of a mafic-alkaline volcano C Jorgenson, L Caricchi, M Stueckelberger, G Fevola, G Giordano, ... Goldschmidt2021• Virtual• 4-9 July, 2021 | | 2021 |
| A view of the volcanic roots of Mt Liamuiga, Saint Kitts, using machine learning thermobarometry O Higgins, T Sheldrake, L Caricchi Goldschmidt2021• Virtual• 4-9 July, 2021 | | 2021 |
| Textural segmentation of magmatic minerals to compare geochemical zoning in elemental maps: assessing changes in plagioclase zoning based on the size of pyroclasts T Sheldrake, O Higgins AGU Fall Meeting Abstracts 2020, V025-02, 2020 | | 2020 |
| A novel thermobarometer: how to use machine learning to discover the secrets of volcanoes C Jorgenson, O Higgins, M Petrelli, F Begue, L Caricchi | | |