An update to the Horizontal Wind Model (HWM): The quiet time thermosphere
- Journal
- Earth and Space Science
In The Last Decade
doi.org/10.1002/2014ea000089 →Countries where authors are citing An update to the Horizontal Wind Model (HWM): The quiet time thermosphere
This map shows the geographic impact of An update to the Horizontal Wind Model (HWM): The quiet time thermosphere. 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 An update to the Horizontal Wind Model (HWM): The quiet time thermosphere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An update to the Horizontal Wind Model (HWM): The quiet time thermosphere more than expected).
Fields of papers citing An update to the Horizontal Wind Model (HWM): The quiet time thermosphere
This network shows the impact of An update to the Horizontal Wind Model (HWM): The quiet time thermosphere. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the An update to the Horizontal Wind Model (HWM): The quiet time thermosphere.
About An update to the Horizontal Wind Model (HWM): The quiet time thermosphere
This paper, published in 2015, received 510 indexed citations . Written by D. P. Drob, J. T. Emmert, J. W. Meriwether, J. J. Makela, Eelco Doornbos, M. Conde, G. Hernández, J. Noto, Kate Zawdie and S. E. McDonald covering the research area of Molecular Biology and Astronomy and Astrophysics. It is primarily cited by scholars working on Astronomy and Astrophysics (436 citations), Geophysics (174 citations) and Atmospheric Science (138 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/10.1002/2014ea000089.