| Synthetic fracture network characterization with transdimensional inversion M Somogyvári, M Jalali, S Jimenez Parras, P Bayer Water Resources Research 53 (6), 5104-5123, 2017 | 58 | 2017 |
| Tomographic reservoir imaging with DNA-labeled silica nanotracers: the first field validation XZ Kong, CA Deuber, A Kittilä, M Somogyvári, G Mikutis, P Bayer, ... Environmental science & technology 52 (23), 13681-13689, 2018 | 56 | 2018 |
| Field validation of thermal tracer tomography for reconstruction of aquifer heterogeneity M Somogyvári, P Bayer Water Resources Research 53 (6), 5070-5084, 2017 | 43 | 2017 |
| Travel-time-based thermal tracer tomography M Somogyvári, P Bayer, R Brauchler Hydrology and Earth System Sciences 20 (5), 1885-1901, 2016 | 42 | 2016 |
| Fracture network characterization using stress‐based tomography MJ Afshari Moein, M Somogyvári, B Valley, M Jalali, S Loew, P Bayer Journal of Geophysical Research: Solid Earth 123 (11), 9324-9340, 2018 | 28 | 2018 |
| Comparison of hydraulic and tracer tomography for discrete fracture network inversion LM Ringel, M Somogyvári, M Jalali, P Bayer Geosciences 9 (6), 274, 2019 | 27 | 2019 |
| Characterization of the effects of hydraulic stimulation with tracer-based temporal moment analysis and tomographic inversion A Kittilä, MR Jalali, M Somogyvári, KF Evans, MO Saar, XZ Kong Geothermics 86, 101820, 2020 | 26 | 2020 |
| Stochastic modeling approach to identify uncertainties of karst conduit networks in carbonate aquifers S Banusch, M Somogyvári, M Sauter, P Renard, I Engelhardt Water Resources Research 58 (8), e2021WR031710, 2022 | 11 | 2022 |
| Convergence tests for transdimensional Markov chains in geoscience imaging M Somogyvári, S Reich Mathematical Geosciences 52 (5), 651-668, 2020 | 8 | 2020 |
| Reservoir-scale transdimensional fracture network inversion M Somogyvári, M Kühn, S Reich Advances in Geosciences 49, 207-214, 2019 | 8 | 2019 |
| Landslide susceptibility mapping core-base factors and models’ performance variability: a systematic review SD Chicas, H Li, N Mizoue, T Ota, Y Du, M Somogyvári Natural Hazards, 1-21, 2024 | 6 | 2024 |
| Active thermal tracer testing in a shallow aquifer of the Thur valley, Switzerland M Schweingruber, M Somogyvári, P Bayer EGU General Assembly Conference Abstracts, 9590, 2015 | 3 | 2015 |
| A hybrid data-driven approach to analyze the drivers of lake level dynamics M Somogyvári, D Scherer, F Bart, U Fehrenbach, A Okujeni, T Krueger EGUsphere 2023, 1-23, 2023 | 1 | 2023 |
| High‐Resolution Characterization of Excavation‐Induced Fracture Network Using Continuous and Discrete Inversion Schemes M Jalali, R Brauchler, M Somogyvári, R de La Vaissière Water Resources Research 59 (10), e2022WR033962, 2023 | 1 | 2023 |
| Localization of redox-hotspots using a comparative tracer tomography approach M Somogyvári, D Knabe, I Engelhardt Advances in Water Resources 163, 104185, 2022 | 1 | 2022 |
| A Karst Probability Map for the Western Mountain Aquifer (Israel & West Bank) using a stochastic modeling approach S Banusch, M Somogyvári, M Sauter, P Renard, I Engelhardt EGU General Assembly Conference Abstracts, EGU21-10749, 2021 | 1 | 2021 |
| A hybrid data-driven approach to analyze the drivers of lake level dynamics M Somogyvári, D Scherer, F Bart, U Fehrenbach, A Okujeni, T Krueger Hydrology and Earth System Sciences 28 (18), 4331-4348, 2024 | | 2024 |
| A top-down modeling approach to assess regional scale groundwater vulnerability: a case study for Berlin-Brandenburg M Somogyvári, F Brill, M Tsypin, T Krueger EGU24, 2024 | | 2024 |
| Identifying the drivers of lake level dynamics using a data-driven modeling approach M Somogyvári, U Fehrenbach, D Scherer, T Krueger EGU General Assembly Conference Abstracts, EGU-13068, 2023 | | 2023 |
| Meta-modeling with data-driven methods in hydrology T Krueger, M Somogyvari, U Fehrenbach, D Scherer EGU General Assembly Conference Abstracts, EGU-12315, 2023 | | 2023 |
