Silvia Pardo

1.0k total citations
10 papers, 296 citations indexed

About

Silvia Pardo is a scholar working on Oceanography, Global and Planetary Change and Industrial and Manufacturing Engineering. According to data from OpenAlex, Silvia Pardo has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oceanography, 8 papers in Global and Planetary Change and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Silvia Pardo's work include Marine and coastal ecosystems (8 papers), Marine and fisheries research (4 papers) and Water Quality Monitoring and Analysis (3 papers). Silvia Pardo is often cited by papers focused on Marine and coastal ecosystems (8 papers), Marine and fisheries research (4 papers) and Water Quality Monitoring and Analysis (3 papers). Silvia Pardo collaborates with scholars based in United Kingdom, Germany and Netherlands. Silvia Pardo's co-authors include Robert J. W. Brewin, Giorgio Dall’Olmo, Gavin H. Tilstone, Virginie van Dongen‐Vogels, Emmanuel Boss, David Dessailly, Ewa Kwiatkowska, Francesco Nencioli, Tânia Casal and Craig Donlon and has published in prestigious journals such as The Science of The Total Environment, Remote Sensing of Environment and Global Change Biology.

In The Last Decade

Silvia Pardo

10 papers receiving 292 citations

Peers

Silvia Pardo
Marié Smith South Africa
Michael Novak United States
Nathalie Guillocheau United States
Jeong-Eon Moon South Korea
Alison Chase United States
Silvia Pardo
Citations per year, relative to Silvia Pardo Silvia Pardo (= 1×) peers Sónia Cristina

Countries citing papers authored by Silvia Pardo

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Pardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Pardo

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

All Works

10 of 10 papers shown
1.
Pardo, Silvia, Gavin H. Tilstone, Robert J. W. Brewin, et al.. (2023). Radiometric assessment of OLCI, VIIRS, and MODIS using fiducial reference measurements along the Atlantic Meridional Transect. Remote Sensing of Environment. 299. 113844–113844. 3 indexed citations
2.
Tilstone, Gavin H., Peter E. Land, Silvia Pardo, Onur Kerimoglu, & Dimitry Van der Zande. (2022). Threshold indicators of primary production in the north-east Atlantic for assessing environmental disturbances using 21 years of satellite ocean colour. The Science of The Total Environment. 854. 158757–158757. 9 indexed citations
3.
Tilstone, Gavin H., Silvia Pardo, Stefan Simis, et al.. (2021). Consistency between Satellite Ocean Colour Products under High Coloured Dissolved Organic Matter Absorption in the Baltic Sea. Remote Sensing. 14(1). 89–89. 12 indexed citations
4.
Tilstone, Gavin H., Silvia Pardo, Giorgio Dall’Olmo, et al.. (2021). Performance of Ocean Colour Chlorophyll a algorithms for Sentinel-3 OLCI, MODIS-Aqua and Suomi-VIIRS in open-ocean waters of the Atlantic. Remote Sensing of Environment. 260. 112444–112444. 57 indexed citations
5.
Schmidt, Katrin, Antony J. Birchill, Angus Atkinson, et al.. (2020). Increasing picocyanobacteria success in shelf waters contributes to long‐term food web degradation. Global Change Biology. 26(10). 5574–5587. 69 indexed citations
6.
Gohin, Francis, Dimitry Van der Zande, Gavin H. Tilstone, et al.. (2019). Twenty years of satellite and in situ observations of surface chlorophyll-a from the northern Bay of Biscay to the eastern English Channel. Is the water quality improving?. Remote Sensing of Environment. 233. 111343–111343. 64 indexed citations
7.
Land, Peter E., Trevor Bailey, Malcolm Taberner, et al.. (2018). A Statistical Modeling Framework for Characterising Uncertainty in Large Datasets: Application to Ocean Colour. Remote Sensing. 10(5). 695–695. 3 indexed citations
8.
Pilant, A. N., et al.. (2016). Meter-Scale Urban Land Cover in EPA EnviroAtlas: Data, Methods and Applications for Assessing Ecosystem Services in Urban Landscapes. AGUFM. 2016. 1 indexed citations
9.
Brewin, Robert J. W., Giorgio Dall’Olmo, Silvia Pardo, Virginie van Dongen‐Vogels, & Emmanuel Boss. (2016). Underway spectrophotometry along the Atlantic Meridional Transect reveals high performance in satellite chlorophyll retrievals. Remote Sensing of Environment. 183. 82–97. 63 indexed citations
10.
Martin, Adrian P., Marina Lévy, Simon Van Gennip, et al.. (2015). An observational assessment of the influence of mesoscale and submesoscale heterogeneity on ocean biogeochemical reactions. Global Biogeochemical Cycles. 29(9). 1421–1438. 15 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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