| Predicting geothermal heat flow in Antarctica with a machine learning approach M Lösing, J Ebbing Journal of Geophysical Research: Solid Earth 126 (6), e2020JB021499, 2021 | 59 | 2021 |
| Geothermal heat flux in Antarctica: Assessing models and observations by Bayesian inversion M Lösing, J Ebbing, W Szwillus Frontiers in Earth Science 8, 105, 2020 | 54 | 2020 |
| Greenland geothermal heat flow database and map (version 1) W Colgan, A Wansing, K Mankoff, M Lösing, J Hopper, K Louden, ... Earth System Science Data Discussions 2021, 1-50, 2021 | 25 | 2021 |
| Antarctic geothermal heat flow and its implications for tectonics and ice sheets AM Reading, T Stål, JA Halpin, M Lösing, J Ebbing, W Shen, ... Nature Reviews Earth & Environment 3 (12), 814-831, 2022 | 17 | 2022 |
| Joint inversion based on variation of information—a crustal model of Wilkes Land, East Antarctica M Lösing, M Moorkamp, J Ebbing Geophysical Journal International 232 (1), 162-175, 2023 | 13 | 2023 |
| Properties and biases of the global heat flow compilation T Stål, AM Reading, S Fuchs, JA Halpin, M Lösing, RJ Turner Frontiers in Earth Science 10, 963525, 2022 | 7 | 2022 |
| Greenland Geothermal Heat Flow Database and Map (Version 1), Earth Syst. Sci. Data, 14, 2209–2238 W Colgan, A Wansing, K Mankoff, M Lösing, J Hopper, K Louden, ... | 6 | 2022 |
| The thermal state of Volgo–Uralia from Bayesian inversion of surface heat flow and temperature I Ognev, J Ebbing, M Lösing, D Nurgaliev Geophysical Journal International 232 (1), 322-342, 2023 | 2 | 2023 |
| The 3D crustal structure of the Wilkes Subglacial Basin, East Antarctica, based on joint inversion of gravity and magnetic data using variation of information M Lowe, TA Jordan, M Moorkamp, J Ebbing, C Green, M Lösing, ... Authorea Preprints, 2023 | 1 | 2023 |
| Understanding Sampling Bias in the Global Heat Flow Compilation T Stål, AM Reading, S Fuchs, JA Halpin, M Lösing, RJ Turner EarthArXiv, 2022 | 1 | 2022 |
| Linking Tectonics and Crustal Thermal Properties in Southwestern Australia and East Antarctica Through Coupled Gravity and Magnetic Analysis M Lösing, ARA Aitken, J Ebbing, JA Halpin, L Li, M Moorkamp, ... Authorea Preprints, 2024 | | 2024 |
| The 3D crustal structure of the Wilkes Subglacial Basin, East Antarctica, using variation of information joint inversion of gravity and magnetic data M Lowe, T Jordan, M Moorkamp, J Ebbing, C Green, M Lösing, T Riley, ... Journal of Geophysical Research: Solid Earth 129 (10), e2023JB027794, 2024 | | 2024 |
| Constraining subglacial geology using mutual information inversion of gravity and magnetic data in the Wilkes Subglacial Basin and Transantarctic Mountains of East Antarctica M Lowe, T Jordan, M Moorkamp, J Ebbing, A Ruppel, N Koglin, C Green, ... EGU General Assembly Conference Abstracts, EGU-368, 2023 | | 2023 |
| Author Correction: Antarctic geothermal heat flow and its implications for tectonics and ice sheets AM Reading, T Stål, JA Halpin, M Lösing, J Ebbing, W Shen, ... Nature Reviews Earth & Environment 4 (1), 2023 | | 2023 |
| Antarctic Geothermal Heat Flow: Investigations by Geophysical and Statistical Analyses M Lösing, S Isabell | | 2022 |
| Antarctic geothermal heat flow–challenges and opportunities M Lösing, R Dziadek, T Staal, A Burton-Johnson | | 2022 |
| Polar Geothermal Heat Flow: Estimation and Ice Sheet Interactions eLightning M Loesing, T Staal, A Burton-Johnson, NB Karlsson AGU Fall Meeting 2021, 2021 | | 2021 |
| A New GHF Model for Greenland from Machine Learning and its Implications on Basal Melt Rates A Wansing, W Colgan, J Ebbing, M Loesing, N Karlsson AGU Fall Meeting Abstracts 2021, EP12D-07, 2021 | | 2021 |
| Joint Inversion Based on Mutual Information for Crustal Structure in East Antarctica M Loesing, J Ebbing, M Moorkamp AGU Fall Meeting Abstracts 2021, C53A-07, 2021 | | 2021 |
| A Machine Learning Heat Flow Model of Antarctica M Lösing, J Bernales, J Ebbing EGU General Assembly Conference Abstracts, EGU21-5764, 2021 | | 2021 |