A new digital bathymetric model of the world's oceans
- Journal
- Earth and Space Science
In The Last Decade
doi.org/10.1002/2015ea000107 →Countries where authors are citing A new digital bathymetric model of the world's oceans
This map shows the geographic impact of A new digital bathymetric model of the world's oceans. 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 A new digital bathymetric model of the world's oceans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A new digital bathymetric model of the world's oceans more than expected).
Fields of papers citing A new digital bathymetric model of the world's oceans
This network shows the impact of A new digital bathymetric model of the world's oceans. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A new digital bathymetric model of the world's oceans.
About A new digital bathymetric model of the world's oceans
This paper, published in 2015, received 709 indexed citations . Written by Pauline Weatherall, K. M. Marks, Martin Jakobsson, Thierry Schmitt, Shin Tani, Jan Erik Arndt, Marzia Rovere, D. N. Chayes, V. L. Ferrini and Rochelle Wigley covering the research area of Environmental Chemistry, Geology and Oceanography. It is primarily cited by scholars working on Oceanography (281 citations), Atmospheric Science (253 citations) and Geophysics (197 citations). Published in Earth and Space Science.
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.
This paper is also available at doi.org/10.1002/2015ea000107.