Georg J. Mayr
- Atmospheric Science top 2%
- Global and Planetary Change top 2%
- Environmental Engineering top 2%
- Aerospace Engineering top 10%
- Oceanography top 10%
- Co-authors
- Achim ZeileisJakob W. MessnerAlexander GohmLaurence ArmiReto StaufferDaniel S. WilksMartin WeißmannGünther Zängl
- Topics
- Meteorological Phenomena and Simulations (58 papers)Climate variability and models (39 papers)Wind and Air Flow Studies (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the Atmospheric SciencesMonthly Weather Review
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Georg J. Mayr
85 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 121
- Atmospheric Science 1.3k
- Global and Planetary Change 1.1k
- Environmental Engineering 451
- Aerospace Engineering 122
- Oceanography 105
Countries citing papers authored by Georg J. Mayr
This map shows the geographic impact of Georg J. Mayr'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 Georg J. Mayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg J. Mayr more than expected).
Fields of papers citing papers by Georg J. Mayr
This network shows the impact of papers produced by Georg J. Mayr. 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 Georg J. Mayr. The network helps show where Georg J. Mayr may publish in the future.
Co-authorship network of co-authors of Georg J. Mayr
This figure shows the co-authorship network connecting the top 25 collaborators of Georg J. Mayr. A scholar is included among the top collaborators of Georg J. Mayr 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 Georg J. Mayr. Georg J. Mayr 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 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 9 | |
| 17 | Heteroscedastic Extended Logistic Regression for Post-Processing of Ensemble Guidance | 48 |
| 18 | The RainCloud project: Harnessing Cloud Computing for a meteorological application at the Tyrolean Avalanche Service | 2 |
| 19 | Evolution of orogenic blocking | 0 |
| 20 | GAP FLOWS – OUR STATE OF KNOWLEDGE AT THE END OF MAP | 1 |
About Georg J. Mayr
Georg J. Mayr is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (58 papers), Climate variability and models (39 papers) and Wind and Air Flow Studies (16 papers). The work is most often cited by research in Atmospheric Science (1.3k citations), Global and Planetary Change (1.1k citations) and Environmental Engineering (451 citations). Georg J. Mayr has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Achim Zeileis, Jakob W. Messner, Alexander Gohm, Laurence Armi, Reto Stauffer, Daniel S. Wilks, Martin Weißmann, Günther Zängl, Nikolaus Umlauf and Andreas Giez. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the Atmospheric Sciences 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.