Miriam Bertola
- Global and Planetary Change top 5%
- Water Science and Technology top 2%
- Atmospheric Science top 10%
- Environmental Engineering top 10%
- Sociology and Political Science
- Co-authors
- Günter BlöschlAlberto ViglioneBruno MerzSergiy VorogushynFrancesco DottoriElena MacdonaldDavid LunHeidi Kreibich
- Topics
- Hydrology and Watershed Management Studies (14 papers)Hydrology and Drought Analysis (12 papers)Flood Risk Assessment and Management (9 papers)
In The Last Decade
Miriam Bertola
16 papers receiving 753 citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Global and Planetary Change 652
- Water Science and Technology 436
- Atmospheric Science 168
- Environmental Engineering 103
- Sociology and Political Science 64
Countries citing papers authored by Miriam Bertola
This map shows the geographic impact of Miriam Bertola'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 Miriam Bertola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Bertola more than expected).
Fields of papers citing papers by Miriam Bertola
This network shows the impact of papers produced by Miriam Bertola. 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 Miriam Bertola. The network helps show where Miriam Bertola may publish in the future.
Co-authorship network of co-authors of Miriam Bertola
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Bertola. A scholar is included among the top collaborators of Miriam Bertola 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 Miriam Bertola. Miriam Bertola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 54 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 64 | |
| 12 | 19 | |
| 13 | 15 | |
| 14 | Causes, impacts and patterns of disastrous river floodsbreakdown → | 401 |
| 15 | 89 | |
| 16 | Impact of Catchment Grouping using Machine Learning on Estimating Envelope Curves of Extreme Floods in Alpine Catchments | 1 |
| 17 | 33 | |
| 18 | 63 |
About Miriam Bertola
Miriam Bertola is a scholar working on Water Science and Technology, Global and Planetary Change and Ecological Modeling, having authored 18 papers that have together received 764 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (14 papers), Hydrology and Drought Analysis (12 papers) and Flood Risk Assessment and Management (9 papers). The work is most often cited by research in Water Science and Technology (436 citations), Global and Planetary Change (652 citations) and Atmospheric Science (168 citations). Miriam Bertola has collaborated with scholars based in Austria, Italy and Germany. Frequent co-authors include Günter Blöschl, Alberto Viglione, Bruno Merz, Sergiy Vorogushyn, Francesco Dottori, Elena Macdonald, David Lun, Heidi Kreibich, Paul Bates and Jeroen C. J. H. Aerts. Their work appears in journals such as Nature, PLoS ONE and Water Resources Research.
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.