The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K
Impact in
- Instrumentation 156
Classified as
- Authors
- P. H. HauschildtE. Baron
In The Last Decade
doi.org/w68035663 →Countries where authors are citing The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K
This map shows the geographic impact of The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K. 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 The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K more than expected).
Fields of papers citing The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K
This network shows the impact of The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K.
About The NextGen Model Atmosphere Grid for 3000 ≤ Teff ≤ 10,000 K
This paper, published in 1999, received 565 indexed citations . Written by P. H. Hauschildt and E. Baron covering the research area of Instrumentation and Astronomy and Astrophysics. It is primarily cited by scholars working on Astronomy and Astrophysics (557 citations), Instrumentation (156 citations), Spectroscopy (63 citations), Atmospheric Science (49 citations) and Atomic and Molecular Physics, and Optics (19 citations).
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/w68035663.