Ana B. Ruescas

1.1k total citations
29 papers, 746 citations indexed

About

Ana B. Ruescas is a scholar working on Oceanography, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Ana B. Ruescas has authored 29 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oceanography, 10 papers in Environmental Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Ana B. Ruescas's work include Marine and coastal ecosystems (9 papers), Remote Sensing in Agriculture (5 papers) and Urban Heat Island Mitigation (5 papers). Ana B. Ruescas is often cited by papers focused on Marine and coastal ecosystems (9 papers), Remote Sensing in Agriculture (5 papers) and Urban Heat Island Mitigation (5 papers). Ana B. Ruescas collaborates with scholars based in Spain, France and Germany. Ana B. Ruescas's co-authors include Carsten Brockmann, Kerstin Stelzer, R. Doerffer, Marco Peters, Gustau Camps‐Valls, José A. Sobrino, Gonzalo Mateo‐García, G. Sòria, Juan C. Jiménez‐Muñoz and Martin Hieronymi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Ana B. Ruescas

27 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana B. Ruescas Spain 11 381 230 227 222 217 29 746
Felipe de Lucia Lobo Brazil 15 301 0.8× 141 0.6× 277 1.2× 182 0.8× 326 1.5× 26 882
Weining Zhu China 15 597 1.6× 179 0.8× 245 1.1× 352 1.6× 349 1.6× 33 918
Chuqun Chen China 18 538 1.4× 107 0.5× 226 1.0× 203 0.9× 222 1.0× 65 843
Yunxia Du China 14 241 0.6× 132 0.6× 171 0.8× 122 0.5× 233 1.1× 17 596
François Steinmetz United States 12 588 1.5× 87 0.4× 265 1.2× 201 0.9× 141 0.6× 26 768
Brandon Smith United States 12 620 1.6× 156 0.7× 259 1.1× 379 1.7× 427 2.0× 14 1.0k
Brian L. Becker United States 12 295 0.8× 139 0.6× 147 0.6× 180 0.8× 199 0.9× 16 606
Simon Topp United States 13 216 0.6× 140 0.6× 184 0.8× 94 0.4× 328 1.5× 21 683
David M. O’Donnell United States 16 511 1.3× 113 0.5× 210 0.9× 184 0.8× 384 1.8× 39 946
Ele Vahtmäe Estonia 17 689 1.8× 165 0.7× 198 0.9× 183 0.8× 156 0.7× 32 1.0k

Countries citing papers authored by Ana B. Ruescas

Since Specialization
Citations

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

Fields of papers citing papers by Ana B. Ruescas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana B. Ruescas. 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 Ana B. Ruescas. The network helps show where Ana B. Ruescas may publish in the future.

Co-authorship network of co-authors of Ana B. Ruescas

This figure shows the co-authorship network connecting the top 25 collaborators of Ana B. Ruescas. A scholar is included among the top collaborators of Ana B. Ruescas 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 Ana B. Ruescas. Ana B. Ruescas 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.
Pérez, I. de la Calle, et al.. (2025). Near-Real-Time Turbidity Monitoring at Global Scale Using Sentinel-2 Data and Machine Learning Techniques. Remote Sensing. 17(22). 3716–3716.
3.
Nieves, Verònica, Ana B. Ruescas, & Raphaëlle Sauzède. (2023). AI for Marine, Ocean and Climate Change Monitoring. Remote Sensing. 16(1). 15–15. 2 indexed citations
4.
Pérez-Suay, Adrián, Ana B. Ruescas, Álvaro Moreno‐Martínez, et al.. (2023). Motivation and Acceptation Model para herramientas tecnológicas en el ámbito universitario. RiuNet (Politechnical University of Valencia).
5.
Ruescas, Ana B., et al.. (2022). Supervised Classifications of Optical Water Types in Spanish Inland Waters. Remote Sensing. 14(21). 5568–5568. 4 indexed citations
6.
Morales-Álvarez, Pablo, et al.. (2020). Deep Gaussian processes for biogeophysical parameter retrieval and model inversion. ISPRS Journal of Photogrammetry and Remote Sensing. 166. 68–81. 27 indexed citations
7.
Sauzède, Raphaëlle, et al.. (2020). ESTIMATION OF OCEANIC PARTICULATE ORGANIC CARBON WITH MACHINE LEARNING. SHILAP Revista de lepidopterología. V-2-2020. 949–956. 15 indexed citations
8.
Ruescas, Ana B., Martin Hieronymi, Gonzalo Mateo‐García, et al.. (2018). Machine Learning Regression Approaches for Colored Dissolved Organic Matter (CDOM) Retrieval with S2-MSI and S3-OLCI Simulated Data. Remote Sensing. 10(5). 786–786. 78 indexed citations
9.
Ruescas, Ana B., Gonzalo Mateo‐García, Gustau Camps‐Valls, & Martin Hieronymi. (2018). Retrieval of Case 2 Water Quality Parameters with Machine Learning. arXiv (Cornell University). 124–127. 7 indexed citations
10.
Ruescas, Ana B., Martin Hieronymi, Sampsa Koponen, Kari Kallio, & Gustau Camps‐Valls. (2017). Retrieval of coloured dissolved organic matter with machine learning methods. 2187–2190. 4 indexed citations
11.
Muñoz-Marı́, Jordi, Emma Izquierdo‐Verdiguier, Manuel Campos‐Taberner, et al.. (2017). HyperLabelMe : A Web Platform for Benchmarking Remote-Sensing Image Classifiers. IEEE Geoscience and Remote Sensing Magazine. 5(4). 79–85. 11 indexed citations
12.
Hieronymi, Martin, Hajo Krasemann, Dagmar Müller, et al.. (2016). Ocean Colour Remote Sensing of Extreme Case-2 Waters. 740. 56. 10 indexed citations
13.
Brockmann, Carsten, et al.. (2016). Evolution of the C2RCC Neural Network for Sentinel 2 and 3 for the Retrieval of Ocean Colour Products in Normal and Extreme Optically Complex Waters. 740. 54. 217 indexed citations
14.
Ruescas, Ana B., Olaf Danne, Norman Fomferra, & Carsten Brockmann. (2016). The Land Surface Temperature Synergistic Processor in BEAM: A Prototype towards Sentinel-3. Data. 1(3). 18–18. 10 indexed citations
15.
Sobrino, José A., Juan C. Jiménez‐Muñoz, G. Sòria, et al.. (2016). Synergistic use of MERIS and AATSR as a proxy for estimating Land Surface Temperature from Sentinel-3 data. Remote Sensing of Environment. 179. 149–161. 58 indexed citations
16.
Peters, Steef, Krista Alikas, Silver Lätt, et al.. (2015). Global Lakes Sentinel Services: Water Quality Parameters Retrieval in Lakes Using the MERIS and S3-OLCI Band Sets. elib (German Aerospace Center). 734. 44. 2 indexed citations
17.
Mitraka, Zina, M. Berger, Ana B. Ruescas, et al.. (2012). Estimation of Land Surface Emissivity and Temperature Based on Spatial-Spectral Unmixing Analysis. 1 indexed citations
18.
Julien, Y., José A. Sobrino, Cristián Mattar, et al.. (2011). Temporal analysis of normalized difference vegetation index (NDVI) and land surface temperature (LST) parameters to detect changes in the Iberian land cover between 1981 and 2001. International Journal of Remote Sensing. 32(7). 2057–2068. 98 indexed citations
19.
Ruescas, Ana B., et al.. (2010). Change Detection by Interferometric Coherence in Nasca Lines, Peru (1997-2004). ESASP. 677. 86. 10 indexed citations
20.
Ruescas, Ana B., et al.. (2009). Preliminary Results Of Alos Palsar Imaging For Investigation Of Archaeological Underground Marks. ESASP. 668. 77. 1 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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