Observed and simulated multidecadal variability in the Northern Hemisphere
- Authors
- Thomas L. DelworthMichael Mann
- Journal
- Climate Dynamics
In The Last Decade
doi.org/10.1007/s003820000075 →Countries where authors are citing Observed and simulated multidecadal variability in the Northern Hemisphere
This map shows the geographic impact of Observed and simulated multidecadal variability in the Northern Hemisphere. 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 Observed and simulated multidecadal variability in the Northern Hemisphere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Observed and simulated multidecadal variability in the Northern Hemisphere more than expected).
Fields of papers citing Observed and simulated multidecadal variability in the Northern Hemisphere
This network shows the impact of Observed and simulated multidecadal variability in the Northern Hemisphere. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Observed and simulated multidecadal variability in the Northern Hemisphere.
About Observed and simulated multidecadal variability in the Northern Hemisphere
This paper, published in 2000, received 945 indexed citations . Written by Thomas L. Delworth and Michael Mann covering the research area of Oceanography, Atmospheric Science and Global and Planetary Change. It is primarily cited by scholars working on Global and Planetary Change (820 citations), Atmospheric Science (776 citations) and Oceanography (472 citations). Published in Climate Dynamics.
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/10.1007/s003820000075.