Monica Pinardi

1.1k total citations
45 papers, 885 citations indexed

About

Monica Pinardi is a scholar working on Environmental Chemistry, Oceanography and Ecology. According to data from OpenAlex, Monica Pinardi has authored 45 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Environmental Chemistry, 23 papers in Oceanography and 14 papers in Ecology. Recurrent topics in Monica Pinardi's work include Marine and coastal ecosystems (23 papers), Aquatic Ecosystems and Phytoplankton Dynamics (21 papers) and Soil and Water Nutrient Dynamics (9 papers). Monica Pinardi is often cited by papers focused on Marine and coastal ecosystems (23 papers), Aquatic Ecosystems and Phytoplankton Dynamics (21 papers) and Soil and Water Nutrient Dynamics (9 papers). Monica Pinardi collaborates with scholars based in Italy, Lithuania and United Kingdom. Monica Pinardi's co-authors include Mariano Bresciani, Marco Bartoli, Claudia Giardino, Pierluigi Viaroli, Paolo Villa, Rossano Bolpagni, Daniele Longhi, Elisa Soana, Gary Free and Erica Racchetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Environmental Management.

In The Last Decade

Monica Pinardi

42 papers receiving 868 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Pinardi Italy 18 393 387 300 233 188 45 885
José L. J. Ledesma Sweden 19 302 0.8× 392 1.0× 183 0.6× 458 2.0× 157 0.8× 39 928
Daniele Longhi Italy 15 394 1.0× 405 1.0× 232 0.8× 128 0.5× 105 0.6× 22 749
Adam S. Wymore United States 20 285 0.7× 392 1.0× 214 0.7× 339 1.5× 177 0.9× 54 939
Thomas Kalettka Germany 16 408 1.0× 328 0.8× 100 0.3× 199 0.9× 109 0.6× 29 863
Peter D. F. Isles United States 20 332 0.8× 603 1.6× 440 1.5× 194 0.8× 118 0.6× 32 1.0k
Xiaodong Wu China 16 367 0.9× 586 1.5× 582 1.9× 208 0.9× 93 0.5× 90 1.1k
Scot E. Hagerthey United States 18 658 1.7× 305 0.8× 427 1.4× 74 0.3× 133 0.7× 26 1.1k
Joan Pere Casas‐Ruiz Spain 15 272 0.7× 327 0.8× 355 1.2× 248 1.1× 159 0.8× 26 737
Tuba Bucak Türkiye 13 368 0.9× 491 1.3× 249 0.8× 307 1.3× 167 0.9× 18 903
Erica Racchetti Italy 17 408 1.0× 363 0.9× 104 0.3× 180 0.8× 57 0.3× 26 727

Countries citing papers authored by Monica Pinardi

Since Specialization
Citations

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

Fields of papers citing papers by Monica Pinardi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Pinardi

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Pinardi. A scholar is included among the top collaborators of Monica Pinardi 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 Monica Pinardi. Monica Pinardi 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.
Bresciani, Mariano, Claudia Giardino, Laura Carrea, et al.. (2025). Examining global trends of satellite-derived water quality variables in shallow lakes. Remote Sensing Applications Society and Environment. 38. 101565–101565.
2.
Gurlin, Daniela, Sundarabalan V. Balasubramanian, Claudia Giardino, et al.. (2025). On the generalization ability of probabilistic neural networks for hyperspectral remote sensing of absorption properties across optically complex waters. Remote Sensing of Environment. 328. 114820–114820. 2 indexed citations
3.
Pinardi, Monica, Gary Free, Daniela Stroppiana, et al.. (2024). Investigating the Impact of Wildfires on Lake Water Quality Using Earth Observation Satellites. Applied Sciences. 14(6). 2626–2626.
4.
Free, Gary, Sandra Poikāne, Anne Lyche Solheim, et al.. (2024). Climate change and ecological assessment in Europe under the WFD – Hitting moving targets with shifting baselines?. Journal of Environmental Management. 370. 122884–122884. 5 indexed citations
5.
Bresciani, Mariano, et al.. (2023). Pit lakes from gravel and sand quarrying in the Po River basin: An opportunity for riverscape rehabilitation and ecosystem services improvement. Ecological Engineering. 196. 107103–107103. 5 indexed citations
7.
Villa, Paolo, Rossano Bolpagni, Monica Pinardi, & Viktor R. Tóth. (2021). Leaf reflectance can surrogate foliar economics better than physiological traits across macrophyte species. Plant Methods. 17(1). 115–115. 14 indexed citations
8.
Free, Gary, et al.. (2021). Detecting Climate Driven Changes in Chlorophyll-a in Deep Subalpine Lakes Using Long Term Satellite Data. Water. 13(6). 866–866. 18 indexed citations
9.
Pinardi, Monica, Paolo Villa, Gary Free, Claudia Giardino, & Mariano Bresciani. (2021). Evolution of Native and Alien Macrophytes in a Fluvial‐wetland System Using Long‐term Satellite Data. Wetlands. 41(1). 4 indexed citations
10.
Pinardi, Monica, Elisa Soana, Mariano Bresciani, Paolo Villa, & Marco Bartoli. (2020). Upscaling nitrogen removal processes in fluvial wetlands and irrigation canals in a patchy agricultural watershed. Wetlands Ecology and Management. 28(2). 297–313. 10 indexed citations
12.
Bresciani, Mariano, Claudia Giardino, Paolo Villa, et al.. (2019). Using APEX data to study phytoplankton and macrophytes in inland water ecosystems. CNR ExploRA. 9524. 1 indexed citations
13.
Tóth, Viktor R., Paolo Villa, Monica Pinardi, & Mariano Bresciani. (2019). Aspects of Invasiveness of Ludwigia and Nelumbo in Shallow Temperate Fluvial Lakes. Frontiers in Plant Science. 10. 647–647. 16 indexed citations
14.
Racchetti, Erica, Monica Pinardi, Silvia Quadroni, et al.. (2019). Is Flood Irrigation a Potential Driver of River-Groundwater Interactions and Diffuse Nitrate Pollution in Agricultural Watersheds?. Water. 11(11). 2304–2304. 27 indexed citations
15.
Villa, Paolo, et al.. (2018). Assessing macrophyte seasonal dynamics using dense time series of medium resolution satellite data. Remote Sensing of Environment. 216. 230–244. 37 indexed citations
16.
Pinardi, Monica, Mariano Bresciani, Paolo Villa, et al.. (2018). Spatial and temporal dynamics of primary producers in shallow lakes as seen from space: Intra-annual observations from Sentinel-2A. Limnologica. 72. 32–43. 30 indexed citations
17.
Villa, Paolo, Monica Pinardi, Viktor R. Tóth, et al.. (2017). Remote sensing of macrophyte morphological traits: Implications for the management of shallow lakes. Journal of Limnology. 76(s1). 33 indexed citations
18.
Fenocchi, Andrea, Monica Pinardi, Stefano Sibilla, Claudia Giardino, & Marco Bartoli. (2015). Assessment of potential algal blooms in a shallow fluvial lake through hydrodynamic modelling and remote-sensed images. 97–98. 1 indexed citations
19.
Bolpagni, Rossano, Mariano Bresciani, Alex Laini, et al.. (2014). Remote sensing of phytoplankton-macrophyte coexistence in shallow hypereutrophic fluvial lakes. Hydrobiologia. 737(1). 67–76. 50 indexed citations
20.
Bresciani, Mariano, Micol Rossini, Giuseppe Morabito, et al.. (2013). Analysis of within- and between-day chlorophyll-a dynamics in Mantua Superior Lake, with a continuous spectroradiometric measurement. Marine and Freshwater Research. 64(4). 303–303. 39 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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