Deep-ocean polymetallic nodules as a resource for critical materials
Impact in
- Oceanography 60
Classified as
In The Last Decade
doi.org/10.1038/s43017-020-0027-0 →Countries where authors are citing Deep-ocean polymetallic nodules as a resource for critical materials
This map shows the geographic impact of Deep-ocean polymetallic nodules as a resource for critical materials. 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 Deep-ocean polymetallic nodules as a resource for critical materials with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep-ocean polymetallic nodules as a resource for critical materials more than expected).
Fields of papers citing Deep-ocean polymetallic nodules as a resource for critical materials
This network shows the impact of Deep-ocean polymetallic nodules as a resource for critical materials. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Deep-ocean polymetallic nodules as a resource for critical materials.
About Deep-ocean polymetallic nodules as a resource for critical materials
This paper, published in 2020, received 355 indexed citations . Written by James R. Hein, Andrea Koschinsky and Thomas Kühn covering the research area of Geochemistry and Petrology, Mechanical Engineering and Inorganic Chemistry. It is primarily cited by scholars working on Geochemistry and Petrology (159 citations), Oceanography (60 citations), Mechanical Engineering (58 citations), Geophysics (48 citations) and Environmental Chemistry (44 citations). Published in Nature Reviews Earth & Environment.
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/10.1038/s43017-020-0027-0.