Countries where authors publish in Precambrian Research
Since Specialization
Citations
This map shows the geographic impact of research published in Precambrian Research. 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 Precambrian Research with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Precambrian Research more than expected).
Fields of papers published in Precambrian Research
This network shows the impact of papers published in Precambrian Research. 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 Precambrian Research.
About Precambrian Research
The 6.9k papers published in Precambrian Research in the last decades have received a total of 326.2k indexed citations . Papers published in Precambrian Research usually cover Geophysics (5.9k papers), Paleontology (1.7k papers), Geochemistry and Petrology (1.1k papers), Geology (685 papers) and Artificial Intelligence (2.5k papers) specifically the topics of Geological and Geochemical Analysis (5.8k papers), earthquake and tectonic studies (3.1k papers), Geochemistry and Geologic Mapping (2.5k papers), High-pressure geophysics and materials (2.5k papers), Paleontology and Stratigraphy of Fossils (1.7k papers), Geochemistry and Elemental Analysis (1.1k papers), Geology and Paleoclimatology Research (1.0k papers) and Geological and Geophysical Studies (503 papers). The most active scholars publishing in Precambrian Research are Guochun Zhao, Zheng‐Xiang Li, Simon A. Wilde, M. Santosh, Min Sun, Peter A. Cawood, Alfred Kröner, Sanzhong Li, Allen P. Nutman and Mingguo Zhai.
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.