Countries where authors publish in Geoscience Data Journal
Since Specialization
Citations
This map shows the geographic impact of research published in Geoscience Data Journal. 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 Geoscience Data Journal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoscience Data Journal more than expected).
Fields of papers published in Geoscience Data Journal
This network shows the impact of papers published in Geoscience Data Journal. 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 Geoscience Data Journal.
About Geoscience Data Journal
The 261 papers published in Geoscience Data Journal in the last decades have received a total of 3.2k indexed citations . Papers published in Geoscience Data Journal usually cover Atmospheric Science (107 papers), Global and Planetary Change (126 papers), Oceanography (43 papers), Geophysics (33 papers) and Geology (13 papers) specifically the topics of Climate variability and models (84 papers), Meteorological Phenomena and Simulations (54 papers), Oceanographic and Atmospheric Processes (29 papers), Geochemistry and Geologic Mapping (26 papers), Atmospheric and Environmental Gas Dynamics (25 papers), Hydrology and Watershed Management Studies (24 papers), Tree-ring climate responses (21 papers) and Geology and Paleoclimatology Research (19 papers). The most active scholars publishing in Geoscience Data Journal are Mark McCarthy, Tim Legg, Michael Kendon, I. Simpson, Dan Hollis, Malcolm Mistry, Marta Marcos, Ivan D. Haigh, Philip Woodworth and Hannah Cloke.
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.