Carlo Albert
Impact in
-
- Environmental Toxicology and Ecotoxicology
- Water Science and Technology top 5%
- Hydrology and Watershed Management Studies
Papers in
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- Markov Chains and Monte Carlo Methods 7
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- Model Reduction and Neural Networks 7
- Co-authors
- Roman AshauerTjalling JagerThomas G. PreußPeter ReichertJörg RieckermannAndreas ScheideggerFabrizio FeniciaDario Del Giudice
- Journals
- Water Resources Research (5 papers)Environmental Modelling & Software (5 papers)Hydrology and earth system sciences (4 papers)Methods in Ecology and Evolution (2 papers)Journal of Personality Assessment (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Carlo Albert
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Health, Toxicology and Mutagenesis 344
- Water Science and Technology 309
- Pollution 241
- Environmental Engineering 234
- Global and Planetary Change 314
Countries citing papers authored by Carlo Albert
This map shows the geographic impact of Carlo Albert'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 Carlo Albert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Albert more than expected).
Fields of papers citing papers by Carlo Albert
This network shows the impact of papers produced by Carlo Albert. 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 Carlo Albert. The network helps show where Carlo Albert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlo Albert, 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 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 6 | |
| 9 | 2022 | 55 | |
| 10 | 2022 | 4 | |
| 11 | 2020 | 6 | |
| 12 | 2016 | 11 | |
| 13 | 2016 | 1 | |
| 14 | 2016 | 11 | |
| 15 | 2013 | 85 | |
| 16 | 2012 | 8 | |
| 17 | 2011 | 73 | |
| 18 | 2011 | 17 | |
| 19 | 1987 | 15 | |
| 20 | 1967 | 1 |
About Carlo Albert
Carlo Albert is a scholar working on Statistics and Probability, Statistical and Nonlinear Physics, Water Science and Technology, Environmental Engineering and Statistics, Probability and Uncertainty, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (9 papers), Gaussian Processes and Bayesian Inference (8 papers), Model Reduction and Neural Networks (7 papers), Markov Chains and Monte Carlo Methods (7 papers), Hydrology and Drought Analysis (5 papers), Flood Risk Assessment and Management (4 papers), Probabilistic and Robust Engineering Design (4 papers) and Groundwater flow and contamination studies (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (344 citations), Water Science and Technology (309 citations), Pollution (241 citations), Environmental Engineering (234 citations) and Global and Planetary Change (314 citations). Carlo Albert has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Roman Ashauer, Tjalling Jager, Thomas G. Preuß, Peter Reichert, Jörg Rieckermann, Andreas Scheidegger, Fabrizio Fenicia, Dario Del Giudice, Dmitri Kavetski and Hans R. Künsch. Their work appears in journals such as Water Resources Research, Environmental Modelling & Software, Hydrology and earth system sciences, Methods in Ecology and Evolution and Journal of Personality Assessment.
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.