This map shows the geographic impact of Sid Perkins's 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 Sid Perkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sid Perkins more than expected).
This network shows the impact of papers produced by Sid Perkins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sid Perkins. The network helps show where Sid Perkins may publish in the future.
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Proceedings of the National Academy of Sciences·Sid Perkins
2021
3
About Sid Perkins
Sid Perkins is a scholar working on Atmospheric Science, Global and Planetary Change, Oceanography, Ecology and Pollution, having authored 146 papers that have together received 356 indexed citations. Recurring topics across this work include Cryospheric studies and observations (7 papers), Climate variability and models (5 papers), earthquake and tectonic studies (5 papers), Geology and Paleoclimatology Research (5 papers), Seismology and Earthquake Studies (4 papers), Marine and coastal ecosystems (3 papers), Atmospheric and Environmental Gas Dynamics (3 papers) and Atmospheric chemistry and aerosols (3 papers). The work is most often cited by research in Neurology (37 citations), Pollution (29 citations), Health, Toxicology and Mutagenesis (31 citations), Global and Planetary Change (46 citations) and Atmospheric Science (38 citations). Their work appears in journals such as Science, Nature Climate Change, Science News, Nature and Proceedings of the National Academy of Sciences.
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.