African institutions research output on Geoscience AI in 2024

2025-12-20 · Source: A Geodyssey – Geoscience Text Analytics and Enterprise Search Research · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics, Environmental Science & Earth Systems · Depth: Intermediate, quick

Summary

A recent analysis challenges a previous report claiming only 8 Geoscience AI papers were published by African institutions in 2024, instead identifying over 400 such papers. This significant discrepancy highlights potential biases in bibliometric data. The research, based on Google Scholar searches for AI and Geoscience keywords in titles, abstracts, and keywords, focused on geology, geochemistry, geophysics, hydrology, and geometallurgy, excluding broader fields like oceanography or climatology. Key findings indicate that water, mining, oil & gas, and geohazards are the dominant topics, suggesting strategic relevance across the continent. The data also reveals a two-tiered publishing capacity among African countries when normalized by population, demonstrating both extensive expertise and underrepresentation in the field.

Key takeaway

For research scientists or data analysts evaluating global AI research trends, you should critically assess bibliometric methodologies, especially when analyzing output from diverse regions like Africa. Relying solely on narrow keyword searches or single indices risks significantly undercounting contributions. Instead, employ comprehensive search strategies across multiple data sources and consider population-normalized metrics to gain a more accurate understanding of regional research capacity and expertise.

Key insights

Bibliometric data on African research output in Geoscience AI can be significantly undercounted by restrictive search methodologies.

Principles

• Bibliometric data is not neutral.
• Broad search strategies mitigate undercounting.
• Contextualize research output by population.

Method

The methodology involved using Google Scholar to search titles, abstracts, and keywords for AI and Geoscience topics, specifically focusing on geology, geochemistry, and geophysics, while excluding MSc/PhD dissertations.

In practice

• Expand keyword searches beyond "Artificial Intelligence."
• Consider specific sub-disciplines for targeted analysis.
• Normalize research output by country population.

Topics

• Geoscience AI
• African Research Output
• Bibliometric Analysis
• AI Applications
• Research Discrepancy

Best for: AI Scientist, AI Researcher, Research Scientist, Data Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by A Geodyssey – Geoscience Text Analytics and Enterprise Search Research.