Gian-Duri Lieberherr
- Atmospheric Science top 10%
- Global and Planetary Change
- Immunology and Allergy top 5%
- Environmental Engineering top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Stefan WunderleBernard ClotFiona TummonBenoît CrouzyThomas KonzelmannKonstantina VasilatouBertrand CalpiniMichael Lehning
- Topics
- Allergic Rhinitis and Sensitization (7 papers)Hydrology and Watershed Management Studies (4 papers)Species Distribution and Climate Change (3 papers)
- Partner nations
- SwitzerlandIrelandUnited States
In The Last Decade
Gian-Duri Lieberherr
18 papers receiving 399 citations
Peers
Comparison fields: 5 of 58
- Atmospheric Science 124
- Global and Planetary Change 103
- Immunology and Allergy 95
- Environmental Engineering 92
- Health, Toxicology and Mutagenesis 83
Countries citing papers authored by Gian-Duri Lieberherr
This map shows the geographic impact of Gian-Duri Lieberherr'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 Gian-Duri Lieberherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gian-Duri Lieberherr more than expected).
Fields of papers citing papers by Gian-Duri Lieberherr
This network shows the impact of papers produced by Gian-Duri Lieberherr. 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 Gian-Duri Lieberherr. The network helps show where Gian-Duri Lieberherr may publish in the future.
Co-authorship network of co-authors of Gian-Duri Lieberherr
This figure shows the co-authorship network connecting the top 25 collaborators of Gian-Duri Lieberherr. A scholar is included among the top collaborators of Gian-Duri Lieberherr 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 Gian-Duri Lieberherr. Gian-Duri Lieberherr 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 | 1 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 21 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 97 | |
| 12 | 35 | |
| 13 | 4 | |
| 14 | 51 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 64 | |
| 18 | 58 | |
| 19 | Modeling snow drift in the turbulent boundary layer | 1 |
About Gian-Duri Lieberherr
Gian-Duri Lieberherr is a scholar working on Immunology and Allergy, Ecological Modeling and Atmospheric Science, having authored 19 papers that have together received 404 indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (7 papers), Hydrology and Watershed Management Studies (4 papers) and Species Distribution and Climate Change (3 papers). The work is most often cited by research in Immunology and Allergy (95 citations), Atmospheric Science (124 citations) and Ecological Modeling (28 citations). Gian-Duri Lieberherr has collaborated with scholars based in Switzerland, Ireland and United States. Frequent co-authors include Stefan Wunderle, Bernard Clot, Fiona Tummon, Benoît Crouzy, Thomas Konzelmann, Konstantina Vasilatou, Bertrand Calpini, Michael Lehning, Christine Groot Zwaaftink and M. B. Parlange. Their work appears in journals such as The Science of The Total Environment, Remote Sensing and Boundary-Layer Meteorology.
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.