Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

Google Earth Engine

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data category: Satellite and geospatial data · 0 papers in the last 7 days

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Names searched for: Google Earth Engine

Key findings#

  • From Nov 2023 to Oct 2026, 45 archived papers mentioned Google Earth Engine in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jul 2026 (6).
  • Google Earth Engine was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
  • By journal category: Information Systems (1).
  • Most of them appeared in Telematics and Informatics Reports (1).
  • From 2017 to 2026 (so far), Google Earth Engine was mentioned in 47 papers in the tracked journals, most of them in economics (26), AI (17) and statistics (1).
  • 12 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (3), University College Dublin (3) and Wuhan University (3).
  • The journals publishing most of them were Land Use Policy (13), Neural Computing and Applications (3) and Expert Systems with Applications (3).
  • The most-cited of them is “Big data applications: overview, challenges and future” (Artificial Intelligence Review, 2024), with 89 citations.
  • Papers use Google Earth Engine most often with Landsat (22), Sentinel / Copernicus (13) and MODIS (11); it has 8 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
9112545

Papers per year#

2017: 0 papers2018: 1 paper2019: 0 papers2020: 0 papers2021: 0 papers2022: 0 papers2023: 4 papers2024: 7 papers2025: 12 papers2026 (so far): 23 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
Economics01000024712
AI0000001358
Statistics0000001000
Management0000000001
Information Systems0000000001
Finance0000000001
All categories010000471223

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing3
2University College Dublin3
3Wuhan University3
4Australian National University2
5US Forest Service2
6Universidad de Antioquia2
7University of Bern2
8University of Chinese Academy of Sciences2
9Adelaide University1
10Adolfo Ibáñez University1
Countries with the most papers, since 2023
#CountryPapers
1China9
2United Kingdom7
3Italy6
4United States5
5Spain4
6Netherlands4
7Australia3
8Switzerland3
9Colombia3
10Ireland3
Keywords with the most papers, since 2023
#KeywordPapers
1large language models5
2land use change4
3big data3
4urbanization3
5Africa2
6Google Earth Engine2
7adaptive management2
8agricultural resilience2
9climate change2
10climate change adaptation2

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
1893.5Big data applications: overview, challenges and futureArtificial Intelligence Review2024-09-16Afzal Badshah, Ali Daud, Riad Alharbey et al.
2812.2Small scale agriculture continues to drive deforestation and degradation in fragmented forests in the Congo Basin (2015–2020)Land Use Policy2023-10-06Aurélie Shapiro, Rémi d’Annunzio, Baudouin Desclée et al.
3342.2A guide to similarity measures and their data science applicationsJournal Of Big Data2025-07-26Avivit Levy, Braha Riva Shalom, Michal Chalamish
4181.0Geo-FuB: A method for constructing an Operator-Function knowledge base for geospatial code generation with large language modelsKnowledge-Based Systems2025-04-24Shuyang Hou, Anqi Zhao, Jianyuan Liang et al.
5170.8Big data and urban form: a systematic reviewJournal Of Big Data2025-01-28Vladan Djokić, Aleksandra Djordjević, Aleksandra Milovanović

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use Google Earth Engine most often with Landsat (22), Sentinel / Copernicus (13) and MODIS (11); it has 8 partners in the code and data network, in the group around World Development…, Eurostat, International Energy…. The whole network →

What papers use Google Earth Engine together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
LandsatDataset22119.1
Sentinel / CopernicusDataset1347.9
MODISDataset1127.5
Night-time lights (VIIRS, DMSP)Dataset514.9
CMIP climate projectionsDataset449.0
ERA5 reanalysisDataset438.0
NOAADataset417.6
Twitter / XDataset40.9
Papers mentioning Google Earth Engine in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-09GeoEdgeJoin: Efficient multimodal raster-vector joins for intelligent geospatial cloud–edge–IoT systemsTelematics and Informatics ReportsIsam Mashhour Al Jawarneh, Luca Foschini, Paolo BellavistaUniversity of Sharjah; University of Bologna
Cite this page

Scholar4AI. (2026). Google Earth Engine. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/google-earth-engine

@misc{scholar4ai-datasets-google-earth-engine,
  author = {{Scholar4AI}},
  title = {Google Earth Engine},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/google-earth-engine}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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