Mar Bisquert

564 total citations
16 papers, 475 citations indexed

About

Mar Bisquert is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Mar Bisquert has authored 16 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 11 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Mar Bisquert's work include Remote Sensing in Agriculture (11 papers), Urban Heat Island Mitigation (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Mar Bisquert is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Urban Heat Island Mitigation (4 papers) and Plant Water Relations and Carbon Dynamics (4 papers). Mar Bisquert collaborates with scholars based in Spain, France and Italy. Mar Bisquert's co-authors include V. Caselles, Juan Manuel Sánchez, Enric Valor, R. López-Urrea, Vicente García‐Santos, Agnès Bégué, Raquel Niclòs, Joan M. Galve, M. Deshayes and María Mira and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Remote Sensing.

In The Last Decade

Mar Bisquert

15 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mar Bisquert Spain 12 295 232 158 145 46 16 475
Xiaoguang Jiang China 15 157 0.5× 285 1.2× 83 0.5× 257 1.8× 23 0.5× 45 502
Narayan Kayet India 11 275 0.9× 267 1.2× 181 1.1× 77 0.5× 62 1.3× 20 563
B. G. Mousa Egypt 10 228 0.8× 128 0.6× 117 0.7× 82 0.6× 54 1.2× 18 414
M. Razu Ahmed Canada 14 303 1.0× 182 0.8× 104 0.7× 118 0.8× 37 0.8× 25 445
Hamid Ebrahimy Iran 12 171 0.6× 183 0.8× 134 0.8× 120 0.8× 48 1.0× 20 436
Georgia Doxani Greece 8 199 0.7× 196 0.8× 249 1.6× 90 0.6× 12 0.3× 21 451
Muhammad Farhan Ul Moazzam South Korea 18 457 1.5× 239 1.0× 54 0.3× 226 1.6× 89 1.9× 35 668
Til Prasad Pangali Sharma China 13 428 1.5× 169 0.7× 83 0.5× 125 0.9× 49 1.1× 21 623
Pingjie Fu China 13 264 0.9× 117 0.5× 189 1.2× 110 0.8× 24 0.5× 29 482
Eunna Jang South Korea 9 416 1.4× 173 0.7× 121 0.8× 149 1.0× 39 0.8× 15 642

Countries citing papers authored by Mar Bisquert

Since Specialization
Citations

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

Fields of papers citing papers by Mar Bisquert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mar Bisquert

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

All Works

16 of 16 papers shown
1.
Bisquert, Mar, et al.. (2017). Improved forest-cover mapping based on MODIS time series and landscape stratification. International Journal of Remote Sensing. 38(7). 1865–1888. 16 indexed citations
2.
Bisquert, Mar, Agnès Bégué, M. Deshayes, & Danielle Ducrot. (2016). Environmental evaluation of MODIS-derived land units. GIScience & Remote Sensing. 54(1). 64–77. 7 indexed citations
3.
Bisquert, Mar, Juan Manuel Sánchez, R. López-Urrea, & V. Caselles. (2016). Estimating high resolution evapotranspiration from disaggregated thermal images. Remote Sensing of Environment. 187. 423–433. 59 indexed citations
4.
Bisquert, Mar, Juan Manuel Sánchez, & V. Caselles. (2016). Evaluation of Disaggregation Methods for Downscaling MODIS Land Surface Temperature to Landsat Spatial Resolution in Barrax Test Site. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9(4). 1430–1438. 78 indexed citations
5.
Chang, Ni-Bin, V. Caselles, Juan Manuel Sánchez, et al.. (2016). Monitoring Hydrological Patterns of Temporary Lakes Using Remote Sensing and Machine Learning Models: Case Study of La Mancha Húmeda Biosphere Reserve in Central Spain. Remote Sensing. 8(8). 618–618. 23 indexed citations
6.
Bisquert, Mar, Gloria Bordogna, Agnès Bégué, et al.. (2015). A Simple Fusion Method for Image Time Series Based on the Estimation of Image Temporal Validity. Remote Sensing. 7(1). 704–724. 13 indexed citations
7.
Sánchez, Juan Manuel, Mar Bisquert, E. Rubio, & V. Caselles. (2015). Impact of Land Cover Change Induced by a Fire Event on the Surface Energy Fluxes Derived from Remote Sensing. Remote Sensing. 7(11). 14899–14915. 21 indexed citations
8.
Bisquert, Mar, et al.. (2015). Evaluation of disaggregated thermal images for evapotranspiration estimation in Barrax test site. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9637. 96370P–96370P. 2 indexed citations
9.
Jolivot, Audrey, Agnès Bégué, Mar Bisquert, Jean-Philippe Tonneau, & Margareth Simões. (2014). Zonage du Brésil à partir d'une série temporelle d'images MODIS. Agritrop (Cirad).
10.
Bisquert, Mar, Agnès Bégué, & M. Deshayes. (2014). Object-based delineation of homogeneous landscape units at regional scale based on MODIS time series. International Journal of Applied Earth Observation and Geoinformation. 37. 72–82. 21 indexed citations
11.
Niclòs, Raquel, et al.. (2014). Thermal-Infrared Spectral and Angular Characterization of Crude Oil and Seawater Emissivities for Oil Slick Identification. IEEE Transactions on Geoscience and Remote Sensing. 52(9). 5387–5395. 34 indexed citations
12.
Bisquert, Mar, Juan Manuel Sánchez, & V. Caselles. (2014). Modeling Fire Danger in Galicia and Asturias (Spain) from MODIS Images. Remote Sensing. 6(1). 540–554. 28 indexed citations
13.
Bisquert, Mar, et al.. (2012). Application of artificial neural networks and logistic regression to the prediction of forest fire danger in Galicia using MODIS data. International Journal of Wildland Fire. 21(8). 1025–1029. 87 indexed citations
14.
Bisquert, Mar, Juan Manuel Sánchez, & V. Caselles. (2011). Fire danger estimation from MODIS Enhanced Vegetation Index data: application to Galicia region (north-west Spain). International Journal of Wildland Fire. 20(3). 465–473. 16 indexed citations
15.
Coll, César, Enric Valor, Joan M. Galve, et al.. (2011). Long-term accuracy assessment of land surface temperatures derived from the Advanced Along-Track Scanning Radiometer. Remote Sensing of Environment. 116. 211–225. 69 indexed citations
16.
Bisquert, Mar, José María Sánchez, V. Caselles, M. I. Paz Andrade, & J.L. Legido. (2010). Los índices de vegetación como indicadores del riesgo de incendio con imágenes del sensor TERRA-MODIS. 80–91. 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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