Journal of Geovisualization and Spatial Analysis · 1×
×1.32k/1kGPC
×1.5323/210GPD
×1.3414/315MT
×0.7643/877EE
×1.2766/655AS
Citations per year
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Countries where authors publish in Big Earth Data
Since Specialization
Citations
This map shows the geographic impact of research published in Big Earth Data. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Big Earth Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Big Earth Data more than expected).
This network shows the impact of papers published in Big Earth Data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Big Earth Data.
About Big Earth Data
The 264 papers published in Big Earth Data in the last decades have received a total of 4.1k indexed citations . Papers published in Big Earth Data usually cover Geography, Planning and Development (33 papers), Global and Planetary Change (100 papers), Atmospheric Science (62 papers), Information Systems and Management (23 papers) and Ecological Modeling (10 papers) specifically the topics of Remote Sensing in Agriculture (34 papers), Geographic Information Systems Studies (32 papers), Land Use and Ecosystem Services (26 papers), Climate variability and models (22 papers), Cryospheric studies and observations (20 papers), Data Management and Algorithms (20 papers), Flood Risk Assessment and Management (17 papers) and Remote-Sensing Image Classification (17 papers). The most active scholars publishing in Big Earth Data are Huadong Guo, Tao Cheng, Yang Zhang, Khaled Taalab, Yunqiang Zhu, Grégory Giuliani, Jia Song, Bruno Chatenoux, Pierre Soille and Shaohua Gao.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.