Steven M. Martinaitis
- Atmospheric Science top 2%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Oceanography
- Co-authors
- Kenneth W. HowardStephen B. CocksJian ZhangYoucun QiAmi ArthurBrian KaneyCarrie LangstonHeather M. Grams
- Topics
- Meteorological Phenomena and Simulations (16 papers)Precipitation Measurement and Analysis (15 papers)Flood Risk Assessment and Management (6 papers)
- Journals
- Bulletin of the American Meteorological SocietyJournal of HydrometeorologyWeather and Forecasting
- Partner nations
- United States
In The Last Decade
Steven M. Martinaitis
18 papers receiving 875 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Atmospheric Science 732
- Global and Planetary Change 575
- Environmental Engineering 208
- Water Science and Technology 184
- Oceanography 18
Countries citing papers authored by Steven M. Martinaitis
This map shows the geographic impact of Steven M. Martinaitis'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 Steven M. Martinaitis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Martinaitis more than expected).
Fields of papers citing papers by Steven M. Martinaitis
This network shows the impact of papers produced by Steven M. Martinaitis. 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 Steven M. Martinaitis. The network helps show where Steven M. Martinaitis may publish in the future.
Co-authorship network of co-authors of Steven M. Martinaitis
This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Martinaitis. A scholar is included among the top collaborators of Steven M. Martinaitis 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 Steven M. Martinaitis. Steven M. Martinaitis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 22 | |
| 8 | 18 | |
| 9 | 14 | |
| 10 | 46 | |
| 11 | 22 | |
| 12 | 20 | |
| 13 | 143 | |
| 14 | 34 | |
| 15 | Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilitiesbreakdown → | 482 |
| 16 | 20 | |
| 17 | Effects of Multi-Sensor Radar and Rain Gauge Data on Hydrologic Modeling in Relatively Flat Terrain | 5 |
| 18 | 2 |
About Steven M. Martinaitis
Steven M. Martinaitis is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 18 papers that have together received 881 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (16 papers), Precipitation Measurement and Analysis (15 papers) and Flood Risk Assessment and Management (6 papers). The work is most often cited by research in Atmospheric Science (732 citations), Global and Planetary Change (575 citations) and Environmental Engineering (208 citations). Steven M. Martinaitis has collaborated with scholars based in United States. Frequent co-authors include Kenneth W. Howard, Stephen B. Cocks, Jian Zhang, Youcun Qi, Ami Arthur, Brian Kaney, Carrie Langston, Heather M. Grams, Lin Tang and Yadong Wang. Their work appears in journals such as Bulletin of the American Meteorological Society, Journal of Hydrometeorology and Weather and Forecasting.
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.