Jan D. Keller
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 10%
- Electrical and Electronic Engineering
- Aerospace Engineering
- Co-authors
- Sabrina WahlAndreas HenseSusanne CrewellChristoph BollmeyerChristian OhlweinPetra FriederichsIeda PscheidtStefan Kneifel
- Topics
- Meteorological Phenomena and Simulations (20 papers)Climate variability and models (17 papers)Atmospheric and Environmental Gas Dynamics (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Jan D. Keller
24 papers receiving 700 citations
Peers
Comparison fields: 5 of 73
- Atmospheric Science 459
- Global and Planetary Change 442
- Environmental Engineering 117
- Electrical and Electronic Engineering 95
- Aerospace Engineering 75
Countries citing papers authored by Jan D. Keller
This map shows the geographic impact of Jan D. Keller'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 Jan D. Keller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan D. Keller more than expected).
Fields of papers citing papers by Jan D. Keller
This network shows the impact of papers produced by Jan D. Keller. 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 Jan D. Keller. The network helps show where Jan D. Keller may publish in the future.
Co-authorship network of co-authors of Jan D. Keller
This figure shows the co-authorship network connecting the top 25 collaborators of Jan D. Keller. A scholar is included among the top collaborators of Jan D. Keller 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 Jan D. Keller. Jan D. Keller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 31 | |
| 9 | DeepRain - Improved local-scale prediction of precipitation through deep learning | 1 |
| 10 | 37 | |
| 11 | 50 | |
| 12 | 14 | |
| 13 | 17 | |
| 14 | 69 | |
| 15 | 19 | |
| 16 | 34 | |
| 17 | 1 | |
| 18 | Estimating Uncertainty in Atmospheric Models - Application and new Approaches of Lyapunov Vector Estimations | 1 |
| 19 | 10 | |
| 20 | 11 |
About Jan D. Keller
Jan D. Keller is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 25 papers that have together received 720 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (20 papers), Climate variability and models (17 papers) and Atmospheric and Environmental Gas Dynamics (6 papers). The work is most often cited by research in Atmospheric Science (459 citations), Global and Planetary Change (442 citations) and Environmental Engineering (117 citations). Jan D. Keller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Sabrina Wahl, Andreas Hense, Susanne Crewell, Christoph Bollmeyer, Christian Ohlwein, Petra Friederichs, Ieda Pscheidt, Stefan Kneifel, Jessica Keune and S. Steinke. Their work appears in journals such as Journal of Climate, Renewable Energy and Solar Energy.
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.