Michele Scardi

4.8k total citations
86 papers, 2.3k citations indexed

About

Michele Scardi is a scholar working on Oceanography, Ecology and Global and Planetary Change. According to data from OpenAlex, Michele Scardi has authored 86 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oceanography, 36 papers in Ecology and 31 papers in Global and Planetary Change. Recurrent topics in Michele Scardi's work include Marine and coastal ecosystems (20 papers), Marine and fisheries research (19 papers) and Fish Ecology and Management Studies (17 papers). Michele Scardi is often cited by papers focused on Marine and coastal ecosystems (20 papers), Marine and fisheries research (19 papers) and Fish Ecology and Management Studies (17 papers). Michele Scardi collaborates with scholars based in Italy, France and Spain. Michele Scardi's co-authors include Stefano Cataudella, Clara Boglione, Lawrence W. Harding, Corrado Costa, F. Gagliardi, Antonella Penna, Arnold Rakaj, Alessandra Fianchini, Tommaso Russo and Angelo Loy and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Scientific Reports.

In The Last Decade

Michele Scardi

84 papers receiving 2.2k citations

Peers

Michele Scardi

ECOLO

OCEAN

GPC

NLC

Roberto Pastres Italy

José A. Fernandes Spain

Chris Smith Greece

Young‐Seuk Park South Korea

Francesc Sardà Spain

Yi Zhou China

Kwang‐Tsao Shao Taiwan

Fabio Pranovi Italy

Tae‐Soo Chon South Korea

P. Dixon Australia

Roberto Pastres Italy

Michele Scardi

700 ×1.0

ECOLO

527 ×0.8

789 ×1.3

OCEAN

1.2k ×2.0

GPC

133 ×0.3

NLC

Citations per year, relative to Michele Scardi Michele Scardi (= 1×) peers Roberto Pastres

Countries citing papers authored by Michele Scardi

Since Specialization

Citations

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

Fields of papers citing papers by Michele Scardi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Scardi

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

All Works

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20 of 20 papers shown

Scardi, Michele, et al.. (2025). Modelling Salmo trutta Complex Spatial Distribution in Central Italy: A Random Forest Approach Revealing Underrepresented Lowland Populations Based on Spatially‐Explicit Predictors. Ecology and Evolution. 15(7). e71658–e71658.

Rakaj, Arnold, Lorenzo Morroni, Annalisa Pinsino, et al.. (2025). Towards automatization in morphometric analysis of sea urchin embryos for ecotoxicological applications and near-future scenarios simulation. Ecological Indicators. 175. 113533–113533.

Scardi, Michele, Agostino Tomasello, Sebastiano Calvo, et al.. (2024). Long‐term response of Posidonia oceanica meadow restoration at the population and plant level: implications for management decisions. Restoration Ecology. 33(3). 2 indexed citations

Ventura, Daniele, et al.. (2023). Coastal benthic habitat mapping and monitoring by integrating aerial and water surface low-cost drones. Frontiers in Marine Science. 9. 27 indexed citations

Casabianca, Silvia, Samuela Capellacci, Fabio Ricci, et al.. (2023). RNA/DNA ratios as estimate of metabolic and functional traits in diatom species from the northwestern Adriatic Sea. Journal of Plankton Research. 45(6). 803–814. 1 indexed citations

Fianchini, Alessandra, İlhan Aydın, Pedro M. Félix, et al.. (2023). Evaluating sea cucumbers as extractive species for benthic bioremediation in mussel farms. Scientific Reports. 13(1). 1457–1457. 20 indexed citations

Fianchini, Alessandra, et al.. (2022). Population status, distribution and trophic implications of Pinna nobilis along the South-eastern Italian coast. Cineca Institutional Research Information System (Tor Vergata University). 1(1). 11 indexed citations

Scardi, Michele, et al.. (2021). Collection and analysis of a global marine phytoplankton primary-production dataset. Earth system science data. 13(10). 4967–4985. 13 indexed citations

Scardi, Michele, et al.. (2020). Modeling Posidonia oceanica shoot density and rhizome primary production. Scientific Reports. 10(1). 16978–16978. 8 indexed citations

10.

Marco, Gabriele Di, Alessia D’Agostino, Angelo Gismondi, et al.. (2020). Chemical signatures of femoral pore secretions in two syntopic but reproductively isolated species of Galápagos land iguanas (Conolophus marthae and C. subcristatus). Scientific Reports. 10(1). 14314–14314. 4 indexed citations

11.

Bellacicco, Marco, Vincenzo Vellucci, Michele Scardi, et al.. (2019). Quantifying the Impact of Linear Regression Model in Deriving Bio-Optical Relationships: The Implications on Ocean Carbon Estimations. Sensors. 19(13). 3032–3032. 15 indexed citations

12.

Franceschini, Simone, et al.. (2019). An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models. PLoS ONE. 14(1). e0211445–e0211445. 15 indexed citations

13.

Ricci, Fabio, et al.. (2019). A model predicting the PSP toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the NW Adriatic Sea. Scientific Reports. 9(1). 4166–4166. 38 indexed citations

14.

Franceschini, Simone, et al.. (2018). Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information. Scientific Reports. 8(1). 4581–4581. 21 indexed citations

15.

Penna, Antonella, Silvia Casabianca, Antonio Fernàndez-Guerra, Cristiano Vernesi, & Michele Scardi. (2017). Analysis of phytoplankton assemblage structure in the Mediterranean Sea based on high-throughput sequencing of partial 18S rRNA sequences. Marine Genomics. 36. 49–55. 39 indexed citations

16.

Boglione, Clara, et al.. (2013). Environmental Conditioning of Skeletal Anomalies Typology and Frequency in Gilthead Seabream (Sparus aurata L., 1758) Juveniles. PLoS ONE. 8(2). e55736–e55736. 46 indexed citations

17.

Battocchi, Cecilia, Cecilia Totti, Magda Vila, et al.. (2010). Monitoring toxic microalgae Ostreopsis (dinoflagellate) species in coastal waters of the Mediterranean Sea using molecular PCR-based assay combined with light microscopy. Marine Pollution Bulletin. 60(7). 1074–1084. 62 indexed citations

18.

Tancioni, Lorenzo, Michele Scardi, & Stefano Cataudella. (2005). I pesci nella valutazione dello stato ecologico dei sistemi acquatici. 41(3). 399–402. 1 indexed citations

19.

Scardi, Michele, et al.. (2004). Previsione della fauna ittica mediante reti neurali artificiali.. The Journal of Rheumatology. 18(1). 25–31. 1 indexed citations

20.

Procaccini, Gabriele, Luisa Orsini, Maria Valeria Ruggiero, & Michele Scardi. (2001). Spatial patterns of genetic diversity in Posidonia oceanica, an endemic Mediterranean seagrass. Molecular Ecology. 10(6). 1413–1421. 65 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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