Naomi Mazzilli

1.6k total citations
37 papers, 687 citations indexed

About

Naomi Mazzilli is a scholar working on Earth-Surface Processes, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, Naomi Mazzilli has authored 37 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Earth-Surface Processes, 20 papers in Environmental Engineering and 15 papers in Water Science and Technology. Recurrent topics in Naomi Mazzilli's work include Karst Systems and Hydrogeology (24 papers), Hydrology and Watershed Management Studies (14 papers) and Groundwater and Isotope Geochemistry (11 papers). Naomi Mazzilli is often cited by papers focused on Karst Systems and Hydrogeology (24 papers), Hydrology and Watershed Management Studies (14 papers) and Groundwater and Isotope Geochemistry (11 papers). Naomi Mazzilli collaborates with scholars based in France, Germany and Slovenia. Naomi Mazzilli's co-authors include Hervé Jourde, Konstantinos Chalikakis, Charles Danquigny, Chloé Ollivier, Christophe Emblanch, Vincent Guinot, Vianney Sivelle, David Labat, Bruno Arfib and Tanja Liesch and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Naomi Mazzilli

36 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Mazzilli France 18 433 395 278 222 149 37 687
Kolja Rotzoll United States 13 166 0.4× 219 0.6× 120 0.4× 252 1.1× 214 1.4× 27 646
L.J. Lambán Spain 15 119 0.3× 203 0.5× 210 0.8× 242 1.1× 106 0.7× 33 514
Andrew J. Love Australia 16 75 0.2× 261 0.7× 133 0.5× 291 1.3× 75 0.5× 31 592
Davood Mahmoodzadeh Iran 8 88 0.2× 267 0.7× 95 0.3× 293 1.3× 86 0.6× 17 535
Younes Fakır Morocco 16 50 0.1× 324 0.8× 228 0.8× 263 1.2× 214 1.4× 41 685
Lucia Mastrorillo Italy 12 114 0.3× 140 0.4× 77 0.3× 135 0.6× 51 0.3× 32 406
Ulf Mallast Germany 13 64 0.1× 179 0.5× 88 0.3× 202 0.9× 88 0.6× 27 477
James C. Currens United States 11 265 0.6× 140 0.4× 124 0.4× 134 0.6× 27 0.2× 36 416
Dennis W. O’Leary United States 10 148 0.3× 222 0.6× 73 0.3× 54 0.2× 96 0.6× 24 630
Javier Urrutia Chile 14 58 0.1× 135 0.3× 103 0.4× 180 0.8× 81 0.5× 28 471

Countries citing papers authored by Naomi Mazzilli

Since Specialization
Citations

This map shows the geographic impact of Naomi Mazzilli'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 Naomi Mazzilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naomi Mazzilli more than expected).

Fields of papers citing papers by Naomi Mazzilli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naomi Mazzilli. 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 Naomi Mazzilli. The network helps show where Naomi Mazzilli may publish in the future.

Co-authorship network of co-authors of Naomi Mazzilli

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

All Works

20 of 20 papers shown
1.
Mazzilli, Naomi, Christelle Batiot‐Guilhe, Christophe Emblanch, et al.. (2025). The Use of Fluorescent Organic Matter as a Natural Transit Time Tracer in the Unsaturated Zone of the Fontaine De Vaucluse Karst System. Hydrology. 12(2). 24–24.
2.
Sivelle, Vianney, Naomi Mazzilli, David Labat, et al.. (2025). Improvement of the KarstMod modelling platform for a better assessment of karst groundwater resources. Hydrology and earth system sciences. 29(5). 1259–1276. 2 indexed citations
3.
Mazzilli, Naomi, Christelle Batiot‐Guilhe, Christophe Emblanch, et al.. (2024). Questioning calculation and interpretation of fluorescence indices in natural waters studies. Journal of Hydrology. 650. 132524–132524. 2 indexed citations
4.
5.
Mazzilli, Naomi, Hervé Jourde, Andreas Wünsch, et al.. (2023). When best is the enemy of good – critical evaluation of performance criteria in hydrological models. Hydrology and earth system sciences. 27(13). 2397–2411. 28 indexed citations
6.
7.
Wünsch, Andreas, Naomi Mazzilli, Tanja Liesch, et al.. (2023). Comparison of artificial neural networks and reservoir models for simulating karst spring discharge on five test sites in the Alpine and Mediterranean regions. Hydrology and earth system sciences. 27(10). 1961–1985. 20 indexed citations
8.
Wünsch, Andreas, Tanja Liesch, Nataša Ravbar, et al.. (2022). Karst spring discharge modeling based on deep learning using spatially distributed input data. Hydrology and earth system sciences. 26(9). 2405–2430. 41 indexed citations
9.
Ollivier, Chloé, Albert Olioso, Simon Carrière, et al.. (2021). An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed. The Science of The Total Environment. 781. 146706–146706. 18 indexed citations
10.
Wünsch, Andreas, Tanja Liesch, Nataša Ravbar, et al.. (2021). Karst spring discharge modeling based on deep learning using spatially distributed input data. 2 indexed citations
11.
Mazzilli, Naomi, Konstantinos Chalikakis, Simon Carrière, & Anatoly Legchenko. (2020). Surface Nuclear Magnetic Resonance Monitoring Reveals Karst Unsaturated Zone Recharge Dynamics during a Rain Event. Water. 12(11). 3183–3183. 10 indexed citations
12.
Ollivier, Chloé, Konstantinos Chalikakis, Naomi Mazzilli, et al.. (2019). Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France). Environments. 6(3). 39–39. 12 indexed citations
13.
Ollivier, Chloé, Naomi Mazzilli, Albert Olioso, et al.. (2019). Karst recharge-discharge semi distributed model to assess spatial variability of flows. The Science of The Total Environment. 703. 134368–134368. 40 indexed citations
14.
15.
Champollion, Cédric, Jean Chéry, E. Doerflinger, et al.. (2018). Estimating epikarst water storage by time-lapse surface-to-depth gravity measurements. Hydrology and earth system sciences. 22(7). 3825–3839. 19 indexed citations
16.
Mazzilli, Naomi, Vincent Guinot, Hervé Jourde, et al.. (2017). KarstMod: A modelling platform for rainfall - discharge analysis and modelling dedicated to karst systems. Environmental Modelling & Software. 122. 103927–103927. 67 indexed citations
17.
Mazzilli, Naomi, Marie Boucher, Konstantinos Chalikakis, et al.. (2016). Contribution of magnetic resonance soundings for characterizing water storage in the unsaturated zone of karst aquifers. Geophysics. 81(4). WB49–WB61. 22 indexed citations
18.
Hakoun, Vivien, Naomi Mazzilli, Séverin Pistre, & Hervé Jourde. (2013). Teaching groundwater dynamics: connecting classroom to practical and field classes. 1 indexed citations
19.
Hakoun, Vivien, Naomi Mazzilli, Séverin Pistre, & Hervé Jourde. (2013). Teaching groundwater flow processes: connecting lecture to practical and field classes. Hydrology and earth system sciences. 17(5). 1975–1984. 9 indexed citations
20.
Mazzilli, Naomi, Vincent Guinot, & Hervé Jourde. (2012). Sensitivity analysis of conceptual model calibration to initialisation bias. Application to karst spring discharge models. Advances in Water Resources. 42. 1–16. 21 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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