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Journals / Acta Infologica / 2026 / Volume: 10 Issue: 1

GIS in Crisis Management: A Bibliometric Analysis of Trends, Intellectual Structure, and Future Pathways (1993–2025)

Yusuf Eminoğlu(DOKUZ EYLUL UNIVERSITY)0009-0005-6000-2934
Çiğdem Tarhan(DOKUZ EYLUL UNIVERSITY)0000-0002-5891-0635
Pages
—
Publication Date
2026-06-30
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings reveal a profound epistemic transition: the field has evolved from an initial phase of “Reactive Baselining” (1993–2010) to the current era of “Disaster Intelligence” (2019–2025), driven by the integration of AI, deep learning, and real-time spatiotemporal analytics.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Escalating global disasters demand a strategic transition from static mapping to dynamic intelligence in crisis management.
📊
Key Findings & Data:This bibliometric analysis maps the evolutionary trajectory of GIS in disaster research, using a dataset of 3,061 publications from the Web of Science (1993–2025).
💡
Conclusion & Impact:The findings reveal a profound epistemic transition: the field has evolved from an initial phase of “Reactive Baselining” (1993–2010) to the current era of “Disaster Intelligence” (2019–2025), driven by the integration of AI, deep learning, and real-time spatiotemporal analytics.
🔬Design:Research Article
📍Scope:2025 Verileri
⚙️Variables:GIS · Crisis Management · Disaster Analytics

Abstract

Escalating global disasters demand a strategic transition from static mapping to dynamic intelligence in crisis management. This bibliometric analysis maps the evolutionary trajectory of GIS in disaster research, using a dataset of 3,061 publications from the Web of Science (1993–2025). The findings reveal a profound epistemic transition: the field has evolved from an initial phase of “Reactive Baselining” (1993–2010) to the current era of “Disaster Intelligence” (2019–2025), driven by the integration of AI, deep learning, and real-time spatiotemporal analytics. However, the analysis also uncovers a polarized knowledge landscape where innovation is heavily concentrated in China, the United States, and Western Europe, revealing a significant “digital divide” that restricts the transferability of advanced geospatial tools to under-resourced regions in the Global South. Furthermore, the operationalization of technologies such as digital twins is hindered by interoperability and ethical data governance challenges. Policy implications are critical; to bridge the gap between algorithmic potential and on-the-ground reality, stakeholders must prioritize equitable capacity building, standardize cross-border data protocols, and establish rigorous privacy frameworks. This study provides a strategic roadmap for leveraging next-generation geospatial solutions to foster adaptive, resilient, and ethically governed global disaster management.

🔖

Cite This Article

Eminoğlu, Y., Tarhan, Ç. (2026). GIS in Crisis Management: A Bibliometric Analysis of Trends, Intellectual Structure, and Future Pathways (1993–2025). Acta Infologica, Volume: 10 Issue: 1. https://doi.org/10.26650/acin.1814771

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