Dana Weitzner
Impact in
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- Hydrology and Watershed Management Studies
- Environmental Engineering top 10%
- Hydrological Forecasting Using AI
Papers in
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- Blind Source Separation Techniques 2
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- Sparse and Compressive Sensing Techniques 2
- Co-authors
- Oren Gilon (1 shared paper)Sella Nevo (1 shared paper)Martin Gauch (1 shared paper)Avinatan Hassidim (1 shared paper)Asher Metzger (1 shared paper)Shlomo Shenzis (1 shared paper)Déborah Cohen (1 shared paper)Shaun Harrigan (1 shared paper)
- Journals
- Nature (1 paper)IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Open Journal of Signal Processing (1 paper)
- Partner nations
- IsraelGermanyUnited Kingdom
In The Last Decade
Dana Weitzner
3 papers receiving 130 citations
Dana Weitzner's Hit Papers
Peers
Comparison fields: 5 of 34
- Water Science and Technology 72
- Environmental Engineering 71
- Global and Planetary Change 94
- Atmospheric Science 32
- Earth-Surface Processes 5
Countries citing papers authored by Dana Weitzner
This map shows the geographic impact of Dana Weitzner'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 Dana Weitzner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dana Weitzner more than expected).
Fields of papers citing papers by Dana Weitzner
This network shows the impact of papers produced by Dana Weitzner. 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 Dana Weitzner. The network helps show where Dana Weitzner may publish in the future.
Co-authors
The 16 scholars most cited alongside Dana Weitzner, 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 | Global prediction of extreme floods in ungauged watersheds Hit paper breakdown → | 2024 | 134 |
| 2 | 2021 | 2 | |
| 3 | 2020 | 1 | |
| 4 | 2023 | 0 |
About Dana Weitzner
Dana Weitzner is a scholar working on Signal Processing, Computational Mechanics, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 4 papers that have together received 137 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Hydrology and Watershed Management Studies (1 paper), Flood Risk Assessment and Management (1 paper), Image and Signal Denoising Methods (1 paper), Hydrological Forecasting Using AI (1 paper) and Adversarial Robustness in Machine Learning (1 paper). The work is most often cited by research in Water Science and Technology (72 citations), Environmental Engineering (71 citations), Global and Planetary Change (94 citations), Atmospheric Science (32 citations) and Earth-Surface Processes (5 citations). Dana Weitzner has collaborated with scholars based in Israel, Germany and United Kingdom. Frequent co-authors include Oren Gilon, Sella Nevo, Martin Gauch, Avinatan Hassidim, Asher Metzger, Shlomo Shenzis, Déborah Cohen, Shaun Harrigan, Grey Nearing and Yossi Matias. Their work appears in journals such as Nature, IEEE Journal of Selected Topics in Signal Processing and IEEE Open Journal of Signal Processing.
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.