Laura Guadagnini

634 total citations
25 papers, 513 citations indexed

About

Laura Guadagnini is a scholar working on Environmental Engineering, Civil and Structural Engineering and Ocean Engineering. According to data from OpenAlex, Laura Guadagnini has authored 25 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Environmental Engineering, 10 papers in Civil and Structural Engineering and 10 papers in Ocean Engineering. Recurrent topics in Laura Guadagnini's work include Groundwater flow and contamination studies (20 papers), Reservoir Engineering and Simulation Methods (8 papers) and Soil and Unsaturated Flow (6 papers). Laura Guadagnini is often cited by papers focused on Groundwater flow and contamination studies (20 papers), Reservoir Engineering and Simulation Methods (8 papers) and Soil and Unsaturated Flow (6 papers). Laura Guadagnini collaborates with scholars based in Italy, United States and Spain. Laura Guadagnini's co-authors include Alberto Guadagnini, Mònica Riva, Marco Marcaccio, Daniel M. Tartakovsky, Xavier Sánchez‐Vila, Thomas Ptak, Salvatore Straface, Alessandra Menafoglio, C. L. Winter and Giovanni Porta and has published in prestigious journals such as The Science of The Total Environment, Water Research and Water Resources Research.

In The Last Decade

Laura Guadagnini

25 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laura Guadagnini Italy 13 323 151 123 98 87 25 513
Falk Heße Germany 15 404 1.3× 104 0.7× 223 1.8× 119 1.2× 61 0.7× 39 718
Chantal de Fouquet France 15 366 1.1× 65 0.4× 103 0.8× 150 1.5× 50 0.6× 54 654
Jui-Sheng Chen Taiwan 20 609 1.9× 203 1.3× 175 1.4× 119 1.2× 118 1.4× 42 934
Luca Alberti Italy 15 438 1.4× 197 1.3× 97 0.8× 69 0.7× 38 0.4× 61 706
Heejun Suk South Korea 14 470 1.5× 261 1.7× 311 2.5× 76 0.8× 38 0.4× 55 804
Wenping Mu China 14 141 0.4× 191 1.3× 97 0.8× 85 0.9× 83 1.0× 28 519
Nicholas B. Engdahl United States 18 571 1.8× 236 1.6× 332 2.7× 88 0.9× 71 0.8× 40 808
Leonardo Piccinini Italy 15 221 0.7× 102 0.7× 47 0.4× 47 0.5× 55 0.6× 35 478
Mohammad Koneshloo United States 9 241 0.7× 226 1.5× 55 0.4× 75 0.8× 106 1.2× 15 501
Daniele Pedretti Italy 17 535 1.7× 133 0.9× 104 0.8× 98 1.0× 132 1.5× 54 731

Countries citing papers authored by Laura Guadagnini

Since Specialization
Citations

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

Fields of papers citing papers by Laura Guadagnini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Guadagnini

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Guadagnini. A scholar is included among the top collaborators of Laura Guadagnini 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 Laura Guadagnini. Laura Guadagnini 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.
Porta, Giovanni, et al.. (2024). A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models. Hydrology and earth system sciences. 28(12). 2661–2682. 3 indexed citations
2.
Porta, Giovanni, et al.. (2023). Probabilistic reconstruction via machine-learning of the Po watershed aquifer system (Italy). Hydrogeology Journal. 31(6). 1547–1563. 5 indexed citations
3.
Menafoglio, Alessandra, Laura Guadagnini, Alberto Guadagnini, & Piercesare Secchi. (2021). Object oriented spatial analysis of natural concentration levels of chemical species in regional-scale aquifers. Spatial Statistics. 43. 100494–100494. 4 indexed citations
4.
Guadagnini, Laura, Alessandra Menafoglio, Xavier Sánchez‐Vila, & Alberto Guadagnini. (2020). Probabilistic assessment of spatial heterogeneity of natural background concentrations in large-scale groundwater bodies through Functional Geostatistics. The Science of The Total Environment. 740. 140139–140139. 19 indexed citations
5.
6.
Guadagnini, Laura, et al.. (2018). Local and Global Sensitivity Analysis of Cr (VI) Geogenic Leakage Under Uncertain Environmental Conditions. Water Resources Research. 54(8). 5785–5802. 15 indexed citations
7.
8.
Ayora, Carlos, et al.. (2013). Geochemical modeling of arsenic release from a deep natural solid matrix under alternated redox conditions. Environmental Science and Pollution Research. 21(3). 1628–1637. 10 indexed citations
9.
Guadagnini, Laura, et al.. (2013). Impact of two geostatistical hydro-facies simulation strategies on head statistics under non-uniform groundwater flow. Journal of Hydrology. 508. 343–355. 18 indexed citations
10.
Guadagnini, Laura, et al.. (2012). Natural background levels and threshold values of chemical species in three large-scale groundwater bodies in Northern Italy. The Science of The Total Environment. 425. 9–19. 71 indexed citations
11.
Guadagnini, Laura, et al.. (2012). Arsenic release from deep natural solid matrices under experimentally controlled redox conditions. The Science of The Total Environment. 444. 231–240. 44 indexed citations
12.
Guadagnini, Laura, et al.. (2011). Geostatistical characterization of a regional-scale sedimentary aquifer. 1–10. 2 indexed citations
13.
Riva, Mònica, Laura Guadagnini, & Alberto Guadagnini. (2010). Effects of uncertainty of lithofacies, conductivity and porosity distributions on stochastic interpretations of a field scale tracer test. Stochastic Environmental Research and Risk Assessment. 24(7). 955–970. 27 indexed citations
14.
Guadagnini, Laura, et al.. (2010). Predicting vertical connectivity within an aquifer system. Bayesian Analysis. 5(3). 8 indexed citations
15.
Tóth, Brigitta, András Makó, Laura Guadagnini, & Alberto Guadagnini. (2008). Factor analysis of Hungarian hydrophysical data to predict soil water retention characteristics. Repository of the Academy's Library (Library of the Hungarian Academy of Sciences). 4 indexed citations
16.
Riva, Mònica, et al.. (2006). A composite medium approach for probabilistic modelling of contaminant travel time distribution to a pumping well in a heterogeneous aquifer. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 227–233. 1 indexed citations
17.
Riva, Mònica, et al.. (2006). Probabilistic study of well capture zones distribution at the Lauswiesen field site. Journal of Contaminant Hydrology. 88(1-2). 92–118. 65 indexed citations
18.
Stauffer, Fritz, Alberto Guadagnini, Adrian P. Butler, et al.. (2005). Delineation of Source Protection Zones Using Statistical Methods. Water Resources Management. 19(2). 163–185. 23 indexed citations
19.
Guadagnini, Laura, Alberto Guadagnini, & Daniel M. Tartakovsky. (2004). Probabilistic reconstruction of geologic facies. Journal of Hydrology. 294(1-3). 57–67. 39 indexed citations
20.
Tartakovsky, Daniel M., Alberto Guadagnini, & Laura Guadagnini. (2000). Short Note: Effective Hydraulic Conductivity and Transmissivity for Heterogeneous Aquifers. Mathematical Geology. 32(6). 751–759. 11 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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