Mònica Riva

4.4k total citations
146 papers, 2.6k citations indexed

About

Mònica Riva is a scholar working on Environmental Engineering, Ocean Engineering and Civil and Structural Engineering. According to data from OpenAlex, Mònica Riva has authored 146 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Environmental Engineering, 57 papers in Ocean Engineering and 39 papers in Civil and Structural Engineering. Recurrent topics in Mònica Riva's work include Groundwater flow and contamination studies (106 papers), Reservoir Engineering and Simulation Methods (37 papers) and Soil and Unsaturated Flow (33 papers). Mònica Riva is often cited by papers focused on Groundwater flow and contamination studies (106 papers), Reservoir Engineering and Simulation Methods (37 papers) and Soil and Unsaturated Flow (33 papers). Mònica Riva collaborates with scholars based in Italy, United States and Spain. Mònica Riva's co-authors include Alberto Guadagnini, Shlomo P. Neuman, Giovanni Porta, Martina Siena, Laura Guadagnini, Thomas Ptak, Xavier Sánchez‐Vila, Daniel M. Tartakovsky, M. Bakr and Harrie‐Jan Hendricks Franssen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Mònica Riva

139 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mònica Riva Italy 28 2.0k 824 619 596 427 146 2.6k
Philippe Ackerer France 31 1.7k 0.9× 443 0.5× 674 1.1× 445 0.7× 574 1.3× 137 2.9k
Stefan Finsterle United States 34 2.1k 1.0× 1.2k 1.5× 769 1.2× 751 1.3× 691 1.6× 158 3.3k
Felipe P. J. de Barros United States 27 1.6k 0.8× 560 0.7× 430 0.7× 403 0.7× 349 0.8× 96 2.1k
Andrew F. B. Tompson United States 24 2.1k 1.1× 620 0.8× 833 1.3× 523 0.9× 338 0.8× 64 2.7k
Daniel Fernàndez‐Garcia Spain 34 2.0k 1.0× 461 0.6× 714 1.2× 463 0.8× 367 0.9× 83 2.5k
Anis Younès France 28 1.2k 0.6× 315 0.4× 631 1.0× 478 0.8× 194 0.5× 120 2.4k
A. Cortis United States 20 1.8k 0.9× 297 0.4× 930 1.5× 512 0.9× 253 0.6× 39 2.6k
Yunwei Sun United States 25 1.6k 0.8× 510 0.6× 300 0.5× 607 1.0× 155 0.4× 91 2.4k
Dirk Mallants Belgium 39 2.1k 1.1× 720 0.9× 1.8k 2.9× 368 0.6× 363 0.9× 162 4.0k
Allan D. Woodbury Canada 26 1.5k 0.8× 390 0.5× 458 0.7× 261 0.4× 367 0.9× 65 2.0k

Countries citing papers authored by Mònica Riva

Since Specialization
Citations

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

Fields of papers citing papers by Mònica Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mònica Riva

This figure shows the co-authorship network connecting the top 25 collaborators of Mònica Riva. A scholar is included among the top collaborators of Mònica Riva 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 Mònica Riva. Mònica Riva 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.
2.
Siena, Martina, et al.. (2024). Stochastic Assessment of Dissolution at Fluid‐Mineral Interfaces. Geophysical Research Letters. 51(7). 3 indexed citations
3.
Porta, Giovanni, et al.. (2024). In-silico mechanistic analysis of adsorption of Iodinated Contrast Media agents on graphene surface. Ecotoxicology and Environmental Safety. 280. 116506–116506. 1 indexed citations
4.
Harrison, Mark, Mònica Riva, Mohaddeseh Mousavi Nezhad, & Alberto Guadagnini. (2024). Estimation of auto-covariance of log hydraulic conductivity from Generalized Sub-Gaussian porosity and particle size random fields. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 480(2282). 1 indexed citations
5.
Riva, Mònica, et al.. (2024). Operational sensitivity analysis of flooding volume in urban areas. Sustainable Cities and Society. 117. 105928–105928. 2 indexed citations
6.
Porta, Giovanni, et al.. (2024). Modeling parametric uncertainty in PDEs models via Physics-Informed Neural Networks. Advances in Water Resources. 195. 104870–104870.
7.
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
8.
Li, Jiayun, et al.. (2024). Characterization of conductivity fields through iterative ensemble smoother and improved correlation-based adaptive localization. Journal of Hydrology. 634. 131054–131054. 1 indexed citations
9.
Guadagnini, Alberto, et al.. (2023). Probabilistic assessment of failure of infiltration structures under model and parametric uncertainty. Journal of Environmental Management. 344. 118466–118466. 5 indexed citations
10.
Guadagnini, Alberto, et al.. (2023). On Multi‐Model Assessment of Complex Degradation Paths: The Fate of Diclofenac and Its Transformation Products. Water Resources Research. 59(1). 5 indexed citations
11.
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
12.
Guadagnini, Alberto, et al.. (2023). Posterior Assessment of Parameters in a Time Domain Random Walk Model of Partitioning Tracer Tests in Two‐Phase Flow Scenarios. Water Resources Research. 59(6). 3 indexed citations
13.
Guadagnini, Alberto, et al.. (2022). Macrodispersion in generalized sub-Gaussian randomly heterogeneous porous media. International Journal of Heat and Mass Transfer. 195. 123117–123117. 3 indexed citations
14.
Guadagnini, Alberto, et al.. (2021). Uncertainty Analysis and Identification of Key Parameters Controlling Bacteria Transport Within a Riverbank Filtration Scenario. Water Resources Research. 57(4). 14 indexed citations
15.
Luo, Xiaodong, et al.. (2021). Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations. Hydrology and earth system sciences. 25(4). 1689–1709. 4 indexed citations
16.
Guadagnini, Alberto, et al.. (2021). Formulation and probabilistic assessment of reversible biodegradation pathway of Diclofenac in groundwater. Water Research. 204. 117466–117466. 16 indexed citations
17.
Cecilia, Daniele la, Giovanni Porta, Fiona H. M. Tang, Mònica Riva, & Federico Maggi. (2020). Probabilistic indicators for soil and groundwater contamination risk assessment. Ecological Indicators. 115. 106424–106424. 18 indexed citations
18.
Riva, Mònica, et al.. (2020). Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters. Water Resources Research. 56(2). 29 indexed citations
19.
20.
Riva, Mònica, et al.. (2015). Integration of Markov mesh models and data assimilation techniques in complex reservoirs. Computational Geosciences. 20(3). 637–653. 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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