ArticleiScience2026
From observation to protection a bibliometric analysis of aerosol-glacier interactions.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Remote sensing has become a central approach for investigating interactions between atmospheric aerosols and glacier change under climate warming. Here, we apply bibliometric and science-mapping methods to systematically analyze global research on remote sensing of aerosol-glacier interactions from 1995 to 2024. Based on 523 publications, we identify rapid growth since 2013 and reveal a tripolar collaboration structure linking North America, Europe, and Asia. Thematic analyses show a clear evolution from early observational and retrieval studies toward process-oriented research emphasizing black carbon deposition, snow-ice energy balance, and regional glacier mass balance. Journal dual-map overlays and cluster dependency analysis further demonstrate that the field is supported by Earth sciences, physics-chemistry, and computational systems, with aerosol type and scientific assessment serving as key foundational clusters. Overall, this study outlines the knowledge structure and evolution of aerosol-glacier research, supporting interdisciplinary monitoring and protection strategies in a changing climate.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.