Stefan Broda
- Environmental Engineering top 1%
- Groundwater flow and contamination studies 10
- Hydrological Forecasting Using AI 9
- Groundwater and Watershed Analysis 3
- Earth-Surface Processes top 2%
- Geochemistry and Petrology top 2%
- Groundwater and Isotope Geochemistry 5
- Water Science and Technology top 2%
- Hydrology and Watershed Management Studies 12
- Global and Planetary Change top 5%
- Flood Risk Assessment and Management 4
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- Soil and Unsaturated Flow 5
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- Mine drainage and remediation techniques 4
Stefan Broda
24 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Environmental Engineering 658
- Earth-Surface Processes 276
- Geochemistry and Petrology 223
- Water Science and Technology 469
- Global and Planetary Change 276
Countries citing papers authored by Stefan Broda
This map shows the geographic impact of Stefan Broda'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 Stefan Broda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Broda more than expected).
Fields of papers citing papers by Stefan Broda
This network shows the impact of papers produced by Stefan Broda. 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 Stefan Broda. The network helps show where Stefan Broda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefan Broda, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 12 | |
| 6 | 2022 | 131 | |
| 7 | 2022 | 4 | |
| 8 | Groundwater level forecasting with artificial neural networks: a comparison of long short-term memory (LSTM), convolutional neural networks (CNNs), and non-linear autoregressive networks with exogenous input (NARX)breakdown → | 2021 | 199 |
| 9 | 2021 | 24 | |
| 10 | Global distribution of carbonate rocks and karst water resourcesbreakdown → | 2020 | 461 |
| 11 | 2020 | 1 | |
| 12 | 2019 | 14 | |
| 13 | 2018 | 22 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 170 | |
| 16 | 2016 | 18 | |
| 17 | 2014 | 50 | |
| 18 | 2013 | 9 | |
| 19 | 2011 | 17 | |
| 20 | Evaluation of the hillslope-storage Boussinesq model with leakage | 2008 | 3 |
About Stefan Broda
Stefan Broda is a scholar working on Environmental Engineering, Water Science and Technology and Geochemistry and Petrology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (12 papers), Groundwater flow and contamination studies (10 papers), Hydrological Forecasting Using AI (9 papers), Groundwater and Isotope Geochemistry (5 papers), Soil and Unsaturated Flow (5 papers), Flood Risk Assessment and Management (4 papers), Mine drainage and remediation techniques (4 papers) and Groundwater and Watershed Analysis (3 papers). The work is most often cited by research in Environmental Engineering (658 citations), Earth-Surface Processes (276 citations) and Geochemistry and Petrology (223 citations). Stefan Broda has collaborated with scholars based in Germany, Canada and Serbia. Frequent co-authors include Tanja Liesch, Andreas Wünsch, Nico Goldscheider, Guanghui Jiang, Nils Moosdorf, Zhao Chen, Michel Bakalowicz, George Veni, Jens Hartmann and Zoran Stevanović. Their work appears in journals such as Hydrology and earth system sciences, Hydrogeology Journal, Canadian Geotechnical Journal, Journal of Hydrology and Nature Communications.
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.