Benatus Norbert Mvile

ORCID, self-asserted

ORCID 0000-0002-5883-4281

Publications

Citations

142

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

16 works in the graph, newest first.

Compositional data-aware deep learning for geochemical anomaly detection: A Novel framework for mineral prospectivity mapping
2026Physics and Chemistry of the Earth Parts A/B/CJournalSenior author4 citations10.1016/j.pce.2026.104352
Deep Learning and Explainable AI for Critical Mineral Prospectivity Mapping: Multi-target Prediction with Uncertainty Quantification
2026Natural Resources ResearchJournal1 citations10.1007/s11053-026-10712-0
Multivariate Statistics and Machine Learning Techniques as Tools for Exploration Targeting in Parts of the Tanzania Craton: Insights from Stream Sediments Geochemistry
2026Earth Systems and EnvironmentJournal0 citations10.1007/s41748-026-01217-0
Source apportionment of potentially toxic elements in soils from an urbanising region: Insights from multivariate analysis in Singida, Tanzania
2025UTUPub (University of Turku)JournalOpen access0 citations10.1016/j.geogeo.2025.100396
A data-intensive framework for evaluating ecological and human health impacts of soil potentially toxic elements (PTEs) in the mining-endemic region of Singida, Tanzania
2025Environmental Geochemistry and HealthJournal4 citations10.1007/s10653-025-02730-3
Resolving Geogenic and Anthropogenic Sources of Soil Contamination in Central Tanzania Using Probabilistic and Machine Learning Approaches
2025Economic and Environmental GeologyJournalOpen access3 citations10.9719/eeg.2025.58.6.771
Assessment of gold mineralization potential in the Tanzania Craton based on stream sediment geochemistry multivariate analysis and regression modeling
2025Discover GeoscienceJournalOpen accessCorresponding2 citations10.1007/s44288-025-00109-6
Provenance studies of stream sediments based on geochemistry and multivariate statistics: implications for gold exploration in the central part of Tanzania
2025Arabian Journal of GeosciencesJournalFirst author1 citations10.1007/s12517-025-12361-8
Hydrochemistry and pollution assessment of groundwater in the Dodoma: Implications of indices and multivariate statistics
2025Journal of African Earth SciencesJournal1 citations10.1016/j.jafrearsci.2025.105974
Integrated geophysical and geological assessment of groundwater occurrence in the Dodoma region, central Tanzania
2025Journal of African Earth SciencesJournal1 citations10.1016/j.jafrearsci.2025.105951
Machine learning based prospect targeting: A case of gold occurrence in central parts of Tanzania, East Africa
2024Ore and Energy Resource GeologyJournal9 citations10.1016/j.oreoa.2024.100065
Provenance studies of Au-bearing stream sediments and performance assessment of machine learning-based models: insight from whole-rock geochemistry central Tanzania, East Africa
2024Environmental Earth SciencesJournal10 citations10.1007/s12665-024-11419-2
Multi-method machine learning techniques in gold pathfinder elements prediction in central parts of Tanzania using stream sediment geochemical data
2024Physics and Chemistry of the Earth Parts A/B/CJournal4 citations10.1016/j.pce.2024.103766
Assessment of heavy metals concentration in soils in the central parts of Tanzania using pollution indices and multivariate statistical approach: implication on the source and health
2023Journal of Sedimentary EnvironmentsJournalFirst authorCorresponding10 citations10.1007/s43217-023-00144-8
Soil geochemistry and multivariate statistical assessment of Copper–Gold-PGEs mineralization in parts of Singida Region of the Tanzania Craton, Tanzania, East Africa
2023Arabian Journal of GeosciencesJournalSenior authorCorresponding14 citations10.1007/s12517-022-11148-5
The search for plausible economic mineral deposits in the central parts of Tanzania; insight from stream sediment geochemistry, multivariate statistics and geostatistics
2023HeliyonJournalOpen accessCorresponding9 citations10.1016/j.heliyon.2023.e22702