Grey Nearing
- Water Science and Technology top 0.2%
- Global and Planetary Change top 0.5%
- Environmental Engineering top 0.2%
- Atmospheric Science top 2%
- Civil and Structural Engineering top 5%
- Co-authors
- Frederik KratzertHoshin V. GuptaDaniel KlotzAlden Keefe SampsonSepp HochreiterJonathan FrameCristina PrietoMartin Gauch
- Topics
- Hydrology and Watershed Management Studies (44 papers)Hydrological Forecasting Using AI (32 papers)Flood Risk Assessment and Management (21 papers)
- Partner nations
- United StatesAustriaSwitzerland
In The Last Decade
Grey Nearing
68 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Water Science and Technology 2.5k
- Global and Planetary Change 2.4k
- Environmental Engineering 2.3k
- Atmospheric Science 888
- Civil and Structural Engineering 254
Countries citing papers authored by Grey Nearing
This map shows the geographic impact of Grey Nearing'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 Grey Nearing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grey Nearing more than expected).
Fields of papers citing papers by Grey Nearing
This network shows the impact of papers produced by Grey Nearing. 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 Grey Nearing. The network helps show where Grey Nearing may publish in the future.
Co-authorship network of co-authors of Grey Nearing
This figure shows the co-authorship network connecting the top 25 collaborators of Grey Nearing. A scholar is included among the top collaborators of Grey Nearing 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 Grey Nearing. Grey Nearing 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 | 4 | |
| 3 | HESS Opinions: Never train a Long Short-Term Memory (LSTM) network on a single basinbreakdown → | 58 |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | Caravan - A global community dataset for large-sample hydrologybreakdown → | 124 |
| 8 | Hybrid forecasting: blending climate predictions with AI modelsbreakdown → | 93 |
| 9 | 14 | |
| 10 | Deep learning rainfall–runoff predictions of extreme eventsbreakdown → | 156 |
| 11 | 26 | |
| 12 | 104 | |
| 13 | 50 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 1 | |
| 19 | 189 | |
| 20 | 10 |
About Grey Nearing
Grey Nearing is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change, having authored 72 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (44 papers), Hydrological Forecasting Using AI (32 papers) and Flood Risk Assessment and Management (21 papers). The work is most often cited by research in Water Science and Technology (2.5k citations), Environmental Engineering (2.3k citations) and Global and Planetary Change (2.4k citations). Grey Nearing has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include Frederik Kratzert, Hoshin V. Gupta, Daniel Klotz, Alden Keefe Sampson, Sepp Hochreiter, Jonathan Frame, Cristina Prieto, Martin Gauch, Martyn Clark and Mathew Herrnegger. Their work appears in journals such as Nature, Remote Sensing of Environment 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.