Stefan Broda

1.9k total citations · 2 hit papers
26 papers, 1.2k citations indexed

About

Stefan Broda is a scholar working on Environmental Engineering, Water Science and Technology and Civil and Structural Engineering. According to data from OpenAlex, Stefan Broda has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 12 papers in Water Science and Technology and 9 papers in Civil and Structural Engineering. Recurrent topics in Stefan Broda's work include Hydrology and Watershed Management Studies (12 papers), Groundwater flow and contamination studies (10 papers) and Hydrological Forecasting Using AI (9 papers). Stefan Broda is often cited by papers focused on Hydrology and Watershed Management Studies (12 papers), Groundwater flow and contamination studies (10 papers) and Hydrological Forecasting Using AI (9 papers). Stefan Broda collaborates with scholars based in Germany, Canada and France. Stefan Broda's co-authors include Tanja Liesch, Andreas Wünsch, Augusto S. Auler, Michel Bakalowicz, Jens Hartmann, Zhao Chen, Guanghui Jiang, Zoran Stevanović, George Veni and Nico Goldscheider and has published in prestigious journals such as Nature Communications, Journal of Hydrology and Geoderma.

In The Last Decade

Stefan Broda

24 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global distribution of carbonate rocks and karst water resources

2020 461 citations Nico Goldscheider, Zhao Chen et al. Hydrogeology Journal profile →
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)

2021 199 citations Andreas Wünsch, Tanja Liesch et al. Hydrology and earth system sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Stefan Broda Germany	13	658	469	276	276	223	26	1.2k
Vincenzo Allocca Italy	20	379 0.6×	253 0.5×	238 0.9×	187 0.7×	358 1.6×	60	911
Beatrice Maria Sole Giambastiani Italy	19	542 0.8×	229 0.5×	203 0.7×	147 0.5×	490 2.2×	43	1.1k
Tanja Liesch Germany	18	671 1.0×	531 1.1×	132 0.5×	336 1.2×	252 1.1×	35	1.2k
Aly I. El‐Kadi United States	23	756 1.1×	466 1.0×	140 0.5×	368 1.3×	488 2.2×	84	1.5k
Bryce F. J. Kelly Australia	21	380 0.6×	224 0.5×	116 0.4×	257 0.9×	221 1.0×	56	1.1k
M. Polemio Italy	21	498 0.8×	215 0.5×	258 0.9×	340 1.2×	533 2.4×	123	1.3k
Séverin Pistre France	22	729 1.1×	439 0.9×	545 2.0×	280 1.0×	449 2.0×	75	1.4k
Longcang Shu China	16	536 0.8×	300 0.6×	120 0.4×	137 0.5×	184 0.8×	75	835
Hany F. Abd‐Elhamid Egypt	21	564 0.9×	304 0.6×	94 0.3×	206 0.7×	448 2.0×	79	1.2k
Joseph D. Hughes United States	19	864 1.3×	582 1.2×	67 0.2×	247 0.9×	332 1.5×	59	1.4k

Countries citing papers authored by Stefan Broda

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stefan Broda

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Broda. A scholar is included among the top collaborators of Stefan Broda 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 Stefan Broda. Stefan Broda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Broda, Stefan, et al.. (2026). SoilNet: A multimodal multitask model for hierarchical classification of soil horizons. Geoderma. 466. 117684–117684.

Schulz, Alexander, et al.. (2025). Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany. Hydrology and earth system sciences. 29(15). 3405–3433.

Broda, Stefan, et al.. (2024). Analysing agricultural plant protection product concentrations in groundwater in Germany: Nationwide database with site and compound insights. Environmental Research. 248. 118231–118231. 1 indexed citations

Hartmann, Andreas, et al.. (2024). Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features. Hydrology and earth system sciences. 28(19). 4407–4425. 2 indexed citations

Heudorfer, Benedikt, Tanja Liesch, & Stefan Broda. (2024). On the challenges of global entity-aware deep learning models for groundwater level prediction. Hydrology and earth system sciences. 28(3). 525–543. 12 indexed citations

Mutz, Michael, et al.. (2022). Multiorder hydrologic Position for Europe — a Set of Features for Machine Learning and Analysis in Hydrology. Scientific Data. 9(1). 662–662. 4 indexed citations

Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2022). Deep learning shows declining groundwater levels in Germany until 2100 due to climate change. Nature Communications. 13(1). 1221–1221. 131 indexed citations

Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2021). 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). Hydrology and earth system sciences. 25(3). 1671–1687. 199 indexed citations breakdown →

Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2021). Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles. Water Resources Management. 36(1). 39–54. 24 indexed citations

10.

Broda, Stefan, et al.. (2020). Using Convolutional Neural Networks for the prediction of groundwater levels. 1 indexed citations

11.

Goldscheider, Nico, Zhao Chen, Augusto S. Auler, et al.. (2020). Global distribution of carbonate rocks and karst water resources. Hydrogeology Journal. 28(5). 1661–1677. 461 indexed citations breakdown →

12.

McKenzie, Jeffrey M., et al.. (2019). Laboratory-scale assessment of a capillary barrier using fibre optic distributed temperature sensing (FO-DTS). Canadian Geotechnical Journal. 57(1). 115–126. 14 indexed citations

13.

Bussière, Bruno, et al.. (2018). In situ evaluation of performance of reclamation measures implemented on abandoned reactive tailings disposal site. Canadian Geotechnical Journal. 55(12). 1742–1755. 12 indexed citations

14.

Wünsch, Andreas, Tanja Liesch, & Stefan Broda. (2018). Forecasting groundwater levels using nonlinear autoregressive networks with exogenous input (NARX). Journal of Hydrology. 567. 743–758. 170 indexed citations

15.

Bussière, Bruno, et al.. (2018). Three-dimensional hydrogeological modeling to assess the elevated-water-table technique for controlling acid generation from an abandoned tailings site in Quebec, Canada. Hydrogeology Journal. 26(4). 1201–1219. 22 indexed citations

16.

Khalil, Bahaa, et al.. (2014). Short-term forecasting of groundwater levels under conditions of mine-tailings recharge using wavelet ensemble neural network models. Hydrogeology Journal. 23(1). 121–141. 50 indexed citations

17.

Broda, Stefan, et al.. (2014). Improving control of contamination from waste rock piles. Environmental Geotechnics. 4(4). 274–283. 17 indexed citations

18.

Broda, Stefan, Marie Larocque, & Claudio Paniconi. (2013). Simulation of Distributed Base Flow Contributions to Streamflow Using a Hillslope-Based Catchment Model Coupled to a Regional-Scale Groundwater Model. Journal of Hydrologic Engineering. 19(5). 907–917. 9 indexed citations

19.

Broda, Stefan, Claudio Paniconi, & Marie Larocque. (2011). Numerical investigation of leakage in sloping aquifers. Journal of Hydrology. 409(1-2). 49–61. 17 indexed citations

20.

Broda, Stefan, et al.. (2008). Evaluation of the hillslope-storage Boussinesq model with leakage. IAHS-AISH publication. 182–187. 3 indexed citations

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.

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