A comprehensive meteorological modeling system?RAMS
In The Last Decade
doi.org/10.1007/bf01025401 →Countries where authors are citing A comprehensive meteorological modeling system?RAMS
This map shows the geographic impact of A comprehensive meteorological modeling system?RAMS. 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 comprehensive meteorological modeling system?RAMS with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A comprehensive meteorological modeling system?RAMS more than expected).
Fields of papers citing A comprehensive meteorological modeling system?RAMS
This network shows the impact of A comprehensive meteorological modeling system?RAMS. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the A comprehensive meteorological modeling system?RAMS.
About A comprehensive meteorological modeling system?RAMS
This paper, published in 1992, received 1.3k indexed citations . Written by Roger A. Pielke, William R. Cotton, R. L. Walko, Craig J. Tremback, Walter A. Lyons, Lewis D. Grasso, Melville E. Nicholls, Michael D. Moran and Jeffrey H. Copeland covering the research area of Atmospheric Science and Global and Planetary Change. It is primarily cited by scholars working on Atmospheric Science (1.0k citations), Global and Planetary Change (878 citations) and Environmental Engineering (328 citations). Published in Meteorology and Atmospheric Physics.
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/bf01025401.