David D. Houghton
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Oceanography top 5%
- Computational Mechanics top 10%
- Earth-Surface Processes top 10%
- Co-authors
- Akira KasaharaWalter L. JonesLinda M. KellerJohn E. KutzbachRobert M. ChervinRobert G. GallimoreUma S. BhattMichael A. Alexander
- Topics
- Climate variability and models (27 papers)Meteorological Phenomena and Simulations (27 papers)Oceanographic and Atmospheric Processes (13 papers)
- Journals
- Journal of Geophysical Research AtmospheresJournal of ClimateJournal of Computational Physics
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
David D. Houghton
51 papers receiving 601 citations
Peers
Comparison fields: 5 of 83
- Atmospheric Science 448
- Global and Planetary Change 376
- Oceanography 224
- Computational Mechanics 103
- Earth-Surface Processes 77
Countries citing papers authored by David D. Houghton
This map shows the geographic impact of David D. Houghton'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 David D. Houghton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Houghton more than expected).
Fields of papers citing papers by David D. Houghton
This network shows the impact of papers produced by David D. Houghton. 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 David D. Houghton. The network helps show where David D. Houghton may publish in the future.
Co-authorship network of co-authors of David D. Houghton
This figure shows the co-authorship network connecting the top 25 collaborators of David D. Houghton. A scholar is included among the top collaborators of David D. Houghton 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 David D. Houghton. David D. Houghton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Introduction to climate change : lecture notes for meteorologists | 7 |
| 3 | Variability in the Atmospheric Annual Cycle | 2 |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 0 | |
| 10 | Handbook of applied meteorology | 108 |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 31 | |
| 14 | 28 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 23 | |
| 19 | Nonlinear shallow flow over an isolated ridge | 1 |
| 20 | 9 |
About David D. Houghton
David D. Houghton is a scholar working on Oceanography, Atmospheric Science and Global and Planetary Change, having authored 58 papers that have together received 738 indexed citations. Recurring topics across this work include Climate variability and models (27 papers), Meteorological Phenomena and Simulations (27 papers) and Oceanographic and Atmospheric Processes (13 papers). The work is most often cited by research in Atmospheric Science (448 citations), Oceanography (224 citations) and Global and Planetary Change (376 citations). David D. Houghton has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Akira Kasahara, Walter L. Jones, Linda M. Keller, John E. Kutzbach, Robert M. Chervin, Robert G. Gallimore, Uma S. Bhatt, Michael A. Alexander, David S. Battisti and Bette L. Otto‐Bliesner. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Journal of Climate and Journal of Computational Physics.
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.