Heather M. Grams
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 10%
- Water Science and Technology top 10%
- Oceanography
- Co-authors
- Jian ZhangCarrie LangstonSteven M. MartinaitisKenneth W. HowardStephen B. CocksAmi ArthurLin TangYadong Wang
- Topics
- Meteorological Phenomena and Simulations (8 papers)Precipitation Measurement and Analysis (7 papers)Climate variability and models (5 papers)
- Journals
- Bulletin of the American Meteorological SocietyQuarterly Journal of the Royal Meteorological SocietyJournal of Atmospheric and Oceanic Technology
- Partner nations
- United States
In The Last Decade
Heather M. Grams
9 papers receiving 581 citations
Hit Papers
Peers
Comparison fields: 5 of 38
- Atmospheric Science 524
- Global and Planetary Change 344
- Environmental Engineering 150
- Water Science and Technology 83
- Oceanography 13
Countries citing papers authored by Heather M. Grams
This map shows the geographic impact of Heather M. Grams'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 Heather M. Grams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather M. Grams more than expected).
Fields of papers citing papers by Heather M. Grams
This network shows the impact of papers produced by Heather M. Grams. 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 Heather M. Grams. The network helps show where Heather M. Grams may publish in the future.
Co-authorship network of co-authors of Heather M. Grams
This figure shows the co-authorship network connecting the top 25 collaborators of Heather M. Grams. A scholar is included among the top collaborators of Heather M. Grams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Heather M. Grams. Heather M. Grams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | 36 | |
| 8 | Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilitiesbreakdown → | 482 |
| 9 | 18 |
About Heather M. Grams
Heather M. Grams is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 9 papers that have together received 586 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (8 papers), Precipitation Measurement and Analysis (7 papers) and Climate variability and models (5 papers). The work is most often cited by research in Atmospheric Science (524 citations), Global and Planetary Change (344 citations) and Environmental Engineering (150 citations). Heather M. Grams has collaborated with scholars based in United States. Frequent co-authors include Jian Zhang, Carrie Langston, Steven M. Martinaitis, Kenneth W. Howard, Stephen B. Cocks, Ami Arthur, Lin Tang, Yadong Wang, David Kitzmiller and Youcun Qi. Their work appears in journals such as Bulletin of the American Meteorological Society, Quarterly Journal of the Royal Meteorological Society and Journal of Atmospheric and Oceanic Technology.
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.