Martin Weißmann
- Atmospheric Science top 1%
- Meteorological Phenomena and Simulations 60
- Tropical and Extratropical Cyclones Research 8
- Precipitation Measurement and Analysis 7
- Global and Planetary Change top 1%
- Climate variability and models 36
- Atmospheric aerosols and clouds 25
- Atmospheric and Environmental Gas Dynamics 24
- Environmental Engineering top 5%
- Wind and Air Flow Studies 6
- Earth-Surface Processes top 10%
- Aeolian processes and effects 4
- Oceanography top 10%
- Co-authors
- Florian HarnischCarla CardinaliOliver ReitebuchAndreas DörnbrackLeonhard ScheckGeorg J. MayrChristian KeilTetsuo Nakazawa
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of the Atmospheric Sciences (2 papers)Monthly Weather Review (11 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Martin Weißmann
68 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 51
- Atmospheric Science 1.5k
- Global and Planetary Change 1.3k
- Environmental Engineering 294
- Earth-Surface Processes 92
- Oceanography 153
Countries citing papers authored by Martin Weißmann
This map shows the geographic impact of Martin Weißmann'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 Martin Weißmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Weißmann more than expected).
Fields of papers citing papers by Martin Weißmann
This network shows the impact of papers produced by Martin Weißmann. 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 Martin Weißmann. The network helps show where Martin Weißmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Weißmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 19 | |
| 14 | 2021 | 55 | |
| 15 | 2020 | 1 | |
| 16 | 2020 | 31 | |
| 17 | 2014 | 33 | |
| 18 | 2014 | 16 | |
| 19 | 2010 | 39 | |
| 20 | Dual Doppler lidar observations during T-REX | 2006 | 1 |
About Martin Weißmann
Martin Weißmann is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes, having authored 68 papers that have together received 1.7k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (60 papers), Climate variability and models (36 papers), Atmospheric aerosols and clouds (25 papers), Atmospheric and Environmental Gas Dynamics (24 papers), Tropical and Extratropical Cyclones Research (8 papers), Precipitation Measurement and Analysis (7 papers), Wind and Air Flow Studies (6 papers) and Aeolian processes and effects (4 papers). The work is most often cited by research in Atmospheric Science (1.5k citations), Global and Planetary Change (1.3k citations) and Environmental Engineering (294 citations). Martin Weißmann has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Florian Harnisch, Carla Cardinali, Oliver Reitebuch, Andreas Dörnbrack, Leonhard Scheck, Georg J. Mayr, Christian Keil, Tetsuo Nakazawa, Sim D. Aberson and Chun‐Chieh Wu. 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.