Jay S. Hobgood
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Oceanography top 5%
- Ecology
- Earth-Surface Processes
- Co-authors
- Christopher C. HennonRandall S. CervenyKeith W. BedfordDavid J. SchwabJohn G. W. KelleyCaren MarzbanJohn N. RaynerJohn Harrington
- Topics
- Tropical and Extratropical Cyclones Research (14 papers)Climate variability and models (13 papers)Meteorological Phenomena and Simulations (8 papers)
- Partner nations
- United States
In The Last Decade
Jay S. Hobgood
22 papers receiving 331 citations
Peers
Comparison fields: 5 of 48
- Atmospheric Science 301
- Global and Planetary Change 272
- Oceanography 162
- Ecology 27
- Earth-Surface Processes 18
Countries citing papers authored by Jay S. Hobgood
This map shows the geographic impact of Jay S. Hobgood'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 Jay S. Hobgood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Hobgood more than expected).
Fields of papers citing papers by Jay S. Hobgood
This network shows the impact of papers produced by Jay S. Hobgood. 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 Jay S. Hobgood. The network helps show where Jay S. Hobgood may publish in the future.
Co-authorship network of co-authors of Jay S. Hobgood
This figure shows the co-authorship network connecting the top 25 collaborators of Jay S. Hobgood. A scholar is included among the top collaborators of Jay S. Hobgood 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 Jay S. Hobgood. Jay S. Hobgood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 14 | |
| 3 | A comparison of hurricanes Katrina (2005) and Camille (1969) | 3 |
| 4 | 34 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 12 | |
| 11 | High-Resolution, Short-Term Lake Forecasts for Lake Erie | 1 |
| 12 | Coupled Lake Erie Air-Sea, Storm Resolving Forecasts and Predictions, the Viento Project | 2 |
| 13 | Short-Term Forecasts for Lake Erie | 1 |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | 1 |
About Jay S. Hobgood
Jay S. Hobgood is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Tropical and Extratropical Cyclones Research (14 papers), Climate variability and models (13 papers) and Meteorological Phenomena and Simulations (8 papers). The work is most often cited by research in Atmospheric Science (301 citations), Oceanography (162 citations) and Global and Planetary Change (272 citations). Jay S. Hobgood has collaborated with scholars based in United States. Frequent co-authors include Christopher C. Hennon, Randall S. Cerveny, Keith W. Bedford, David J. Schwab, John G. W. Kelley, Caren Marzban, John N. Rayner, John Harrington and Paul J. Kramer. Their work appears in journals such as Nature, Journal of Climate and Journal of the Atmospheric Sciences.
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.