W. D. Hibler
- Atmospheric Science top 0.2%
- Global and Planetary Change top 1%
- Oceanography top 1%
- Environmental Chemistry top 1%
- Computational Mechanics top 10%
- Co-authors
- Gregory M. FlatoJinlun ZhangW. F. WeeksStephen F. AckleyK. BryanE. M. SchulsonS. J. MockJohn E. Walsh
- Topics
- Arctic and Antarctic ice dynamics (104 papers)Cryospheric studies and observations (78 papers)Climate change and permafrost (73 papers)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
W. D. Hibler
108 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Atmospheric Science 5.1k
- Global and Planetary Change 1.3k
- Oceanography 1.1k
- Environmental Chemistry 560
- Computational Mechanics 139
Countries citing papers authored by W. D. Hibler
This map shows the geographic impact of W. D. Hibler'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 W. D. Hibler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. D. Hibler more than expected).
Fields of papers citing papers by W. D. Hibler
This network shows the impact of papers produced by W. D. Hibler. 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 W. D. Hibler. The network helps show where W. D. Hibler may publish in the future.
Co-authorship network of co-authors of W. D. Hibler
This figure shows the co-authorship network connecting the top 25 collaborators of W. D. Hibler. A scholar is included among the top collaborators of W. D. Hibler 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 W. D. Hibler. W. D. Hibler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Influence of oceanic tides on sea ice thickness variability | 1 |
| 2 | Tidal and Inertial Variability in Arctic sea ice drift and Deformation | 1 |
| 3 | Sub-daily sea ice and deformation from RADARSAT observations | 1 |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 53 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | MIZEX : a program for mesoscale air-ice-ocean interaction experiments in Arctic marginal ice zones : I. research strategy | 1 |
| 15 | Documentation for a Two-Level Dynamic Thermodynamic Sea Ice Model. | 3 |
| 16 | 23 | |
| 17 | Techniques for Studying Sea Ice Drift and Deformation at Sites Far from Land Using LANDSAT Imagery, | 2 |
| 18 | 5 | |
| 19 | 31 | |
| 20 | 42 |
About W. D. Hibler
W. D. Hibler is a scholar working on Atmospheric Science, Environmental Chemistry and Oceanography, having authored 110 papers that have together received 5.4k indexed citations. Recurring topics across this work include Arctic and Antarctic ice dynamics (104 papers), Cryospheric studies and observations (78 papers) and Climate change and permafrost (73 papers). The work is most often cited by research in Atmospheric Science (5.1k citations), Oceanography (1.1k citations) and Global and Planetary Change (1.3k citations). W. D. Hibler has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Gregory M. Flato, Jinlun Zhang, W. F. Weeks, Stephen F. Ackley, K. Bryan, E. M. Schulson, S. J. Mock, John E. Walsh, Petra Heil and Mark A. Hopkins. Their work appears in journals such as Nature, Science and Journal of Geophysical Research Atmospheres.
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.