ArticleEcology and evolution2025
Global Remote Sensing Research: An Author-Centric Analysis of Contributions and Trends.
Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Global Remote Sensing Research: An Author-Centric Analysis of Contributions and Trends.Ecology and evolution · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Remote sensing research stands at a critical juncture, grappling with challenges in identifying shifting trends and emerging scientific priorities. These gaps limit the field's ability to effectively address pressing environmental issues and foster innovation in related applications, particularly in conservation. In this study, we conducted a comprehensive scientometric analysis of approximately 20,000 researchers identified via Google Scholar who explicitly list "remote sensing" in their profiles, examining their publication trends, citation patterns, collaboration networks, and disciplinary affiliations. The analysis utilized a dataset comprising over 837,658 publications and nearly 20 million citations spanning from 1700 to 2024. Our findings reveal that each researcher has accumulated an average of 1435 citations, with a mean H-index of 10.9 and an i10-index of 17.4. Collaboration plays a pivotal role in the field, as evidenced by 79% of citations originating from co-authored works. The peak of scientific output was observed in 2022, with 54,304 publications-the highest annual total recorded. However, a slight decline was noted in 2024, with 50,096 papers published. Citations per paper peaked in the mid-2010s, reaching their highest levels between 2015 and 2020. In contrast, recent years have witnessed a marked decline, with total citations dropping from over 1.1 million in 2020 to 317,585 in 2023 and just 84,389 in 2024. Keyword analysis identified "classification," "climate," "forest," "land," and "mapping" as dominant themes, reflecting the field's continued focus on addressing global environmental challenges. While the sustained growth in publication output underscores the dynamism of remote sensing research, the declining citation counts suggest a shift toward highly specialized studies that appeal to narrower audiences. This trend necessitates a strategic reassessment of research priorities and publishing practices to ensure that remote sensing studies maintain their relevance and impact in addressing urgent global challenges.
Indexed as
Identifiers
What OpenQuestion holds
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.