Gabriele C. Hegerl
- Global and Planetary Change top 0.02%
- Atmospheric Science top 0.05%
- Oceanography top 0.5%
- Water Science and Technology top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Co-authors
- Francis W. ZwiersXuebin ZhangSeung‐Ki MinReto KnuttiPeter A. StottAndrew SchurerP. D. JonesJohn M. Wallace
- Topics
- Climate variability and models (156 papers)Meteorological Phenomena and Simulations (94 papers)Atmospheric and Environmental Gas Dynamics (57 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Gabriele C. Hegerl
196 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Global and Planetary Change 15.7k
- Atmospheric Science 12.7k
- Oceanography 2.0k
- Water Science and Technology 1.5k
- Ecology, Evolution, Behavior and Systematics 1.3k
Countries citing papers authored by Gabriele C. Hegerl
This map shows the geographic impact of Gabriele C. Hegerl'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 Gabriele C. Hegerl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele C. Hegerl more than expected).
Fields of papers citing papers by Gabriele C. Hegerl
This network shows the impact of papers produced by Gabriele C. Hegerl. 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 Gabriele C. Hegerl. The network helps show where Gabriele C. Hegerl may publish in the future.
Co-authorship network of co-authors of Gabriele C. Hegerl
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele C. Hegerl. A scholar is included among the top collaborators of Gabriele C. Hegerl 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 Gabriele C. Hegerl. Gabriele C. Hegerl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 3 | |
| 9 | 37 | |
| 10 | Constraining human contributions to observed warming since the pre-industrial periodbreakdown → | 161 |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 18 | |
| 14 | 22 | |
| 15 | 64 | |
| 16 | 23 | |
| 17 | 100 | |
| 18 | The Detection and Attribution Model Intercomparison Project (DAMIP v1.0)contribution to CMIP6breakdown → | 391 |
| 19 | 68 | |
| 20 | Estimating climate sensitivity from paleo-data. | 1 |
About Gabriele C. Hegerl
Gabriele C. Hegerl is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 200 papers that have together received 18.9k indexed citations. Recurring topics across this work include Climate variability and models (156 papers), Meteorological Phenomena and Simulations (94 papers) and Atmospheric and Environmental Gas Dynamics (57 papers). The work is most often cited by research in Global and Planetary Change (15.7k citations), Atmospheric Science (12.7k citations) and Oceanography (2.0k citations). Gabriele C. Hegerl has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Francis W. Zwiers, Xuebin Zhang, Seung‐Ki Min, Reto Knutti, Peter A. Stott, Andrew Schurer, P. D. Jones, John M. Wallace, David W. J. Thompson and Viatcheslav Kharin. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.