Sebastian Lerch
- Atmospheric Science top 2%
- Global and Planetary Change top 5%
- Environmental Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Co-authors
- Stephan RaspSándor BaranAlexander I. JordanFabian KrügerThordis L. ThorarinsdottirTilmann GneitingAneesh C. SubramanianWilliam E. Chapman
- Topics
- Meteorological Phenomena and Simulations (36 papers)Climate variability and models (24 papers)Energy Load and Power Forecasting (11 papers)
- Partner nations
- GermanyHungarySwitzerland
In The Last Decade
Sebastian Lerch
44 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Atmospheric Science 712
- Global and Planetary Change 629
- Environmental Engineering 346
- Electrical and Electronic Engineering 295
- Artificial Intelligence 211
Countries citing papers authored by Sebastian Lerch
This map shows the geographic impact of Sebastian Lerch'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 Sebastian Lerch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Lerch more than expected).
Fields of papers citing papers by Sebastian Lerch
This network shows the impact of papers produced by Sebastian Lerch. 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 Sebastian Lerch. The network helps show where Sebastian Lerch may publish in the future.
Co-authorship network of co-authors of Sebastian Lerch
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Lerch. A scholar is included among the top collaborators of Sebastian Lerch 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 Sebastian Lerch. Sebastian Lerch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 17 | |
| 9 | 19 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 50 | |
| 16 | 17 | |
| 17 | 26 | |
| 18 | 35 | |
| 19 | Evaluating probabilistic forecasts with the R package scoringRules | 10 |
| 20 | Similarity-based semilocal estimation of post- processing models | 36 |
About Sebastian Lerch
Sebastian Lerch is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (36 papers), Climate variability and models (24 papers) and Energy Load and Power Forecasting (11 papers). The work is most often cited by research in Atmospheric Science (712 citations), Global and Planetary Change (629 citations) and Environmental Engineering (346 citations). Sebastian Lerch has collaborated with scholars based in Germany, Hungary and Switzerland. Frequent co-authors include Stephan Rasp, Sándor Baran, Alexander I. Jordan, Fabian Krüger, Thordis L. Thorarinsdottir, Tilmann Gneiting, Aneesh C. Subramanian, William E. Chapman, N. Robinson and Samantha V. Adams. Their work appears in journals such as ACS Nano, Journal of Materials Chemistry A and Monthly Weather Review.
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.