David Riaño

7.1k total citations
80 papers, 5.3k citations indexed

About

David Riaño is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, David Riaño has authored 80 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Ecology, 62 papers in Global and Planetary Change and 44 papers in Environmental Engineering. Recurrent topics in David Riaño's work include Remote Sensing in Agriculture (62 papers), Remote Sensing and LiDAR Applications (37 papers) and Fire effects on ecosystems (34 papers). David Riaño is often cited by papers focused on Remote Sensing in Agriculture (62 papers), Remote Sensing and LiDAR Applications (37 papers) and Fire effects on ecosystems (34 papers). David Riaño collaborates with scholars based in United States, Spain and Australia. David Riaño's co-authors include Emilio Chuvieco, Susan L. Ustin, Javier Salas, Inmaculada Aguado, F. Mark Danson, M. Pilar Martín, Mariano Garcı́a, David Cocero Matesanz, Marta Yebra and Sonia Condés and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.

In The Last Decade

David Riaño

80 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Riaño United States 39 3.4k 3.4k 2.7k 1.0k 624 80 5.3k
Forrest G. Hall United States 35 4.0k 1.2× 4.2k 1.3× 2.6k 1.0× 958 0.9× 787 1.3× 65 6.5k
Joachim Hill Germany 40 2.7k 0.8× 1.9k 0.6× 2.2k 0.8× 474 0.5× 558 0.9× 111 5.0k
Thomas Hilker United States 43 4.5k 1.3× 3.6k 1.1× 3.9k 1.4× 1.9k 1.9× 586 0.9× 83 7.4k
Inge Jonckheere Belgium 19 2.5k 0.7× 1.9k 0.6× 1.3k 0.5× 950 0.9× 781 1.3× 31 4.0k
Jan U.H. Eitel United States 35 2.8k 0.8× 1.4k 0.4× 2.1k 0.8× 745 0.7× 1.2k 1.9× 96 4.1k
Fabio Maselli Italy 34 2.2k 0.7× 2.2k 0.6× 1.5k 0.6× 747 0.7× 433 0.7× 161 3.9k
Damiano Gianelle Italy 35 3.2k 0.9× 3.3k 1.0× 2.0k 0.8× 1.0k 1.0× 799 1.3× 119 6.1k
Fabian Ewald Fassnacht Germany 36 3.2k 0.9× 1.5k 0.4× 2.5k 0.9× 1.2k 1.2× 380 0.6× 89 4.5k
Harm Bartholomeus Netherlands 42 2.3k 0.7× 1.0k 0.3× 3.7k 1.4× 1.5k 1.5× 950 1.5× 122 5.8k
Carol A. Wessman United States 34 2.6k 0.8× 2.0k 0.6× 856 0.3× 1.0k 1.0× 768 1.2× 64 4.2k

Countries citing papers authored by David Riaño

Since Specialization
Citations

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

Fields of papers citing papers by David Riaño

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Riaño

This figure shows the co-authorship network connecting the top 25 collaborators of David Riaño. A scholar is included among the top collaborators of David Riaño 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 David Riaño. David Riaño 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.
Lamelas, María Teresa, David Riaño, & Susan L. Ustin. (2019). A LiDAR signature library simulated from 3-dimensional Discrete Anisotropic Radiative Transfer (DART) model to classify fuel types using spectral matching algorithms. GIScience & Remote Sensing. 56(7). 988–1023. 13 indexed citations
2.
Burchard‐Levine, Vicente, Héctor Nieto, David Riaño, et al.. (2019). Adapting the thermal-based two-source energy balance model toestimate energy fluxes in a complex tree-grass ecosystem. 4 indexed citations
3.
Moreno-Ruíz, José A., et al.. (2019). A Comparison of Burned Area Time Series in the Alaskan Boreal Forests from Different Remote Sensing Products. Forests. 10(5). 363–363. 8 indexed citations
4.
Moreno-Ruíz, José A., et al.. (2018). Estimation of Burned Area in the Northeastern Siberian Boreal Forest from a Long-Term Data Record (LTDR) 1982–2015 Time Series. Remote Sensing. 10(6). 940–940. 32 indexed citations
5.
Yebra, Marta, Xingwen Quan, David Riaño, et al.. (2018). A fuel moisture content and flammability monitoring methodology for continental Australia based on optical remote sensing. Remote Sensing of Environment. 212. 260–272. 120 indexed citations
6.
7.
Garcı́a, Mariano, et al.. (2015). Canopy clumping appraisal using terrestrial and airborne laser scanning. Remote Sensing of Environment. 161. 78–88. 54 indexed citations
8.
Pérez‐Cabello, Fernando, et al.. (2014). Assessment of Methods for Land Surface Temperature Retrieval from Landsat-5 TM Images Applicable to Multiscale Tree-Grass Ecosystem Modeling. Remote Sensing. 6(5). 4345–4368. 100 indexed citations
9.
Cheng, Tao, David Riaño, & Susan L. Ustin. (2014). Detecting diurnal and seasonal variation in canopy water content of nut tree orchards from airborne imaging spectroscopy data using continuous wavelet analysis. Remote Sensing of Environment. 143. 39–53. 75 indexed citations
10.
Yebra, Marta, Philip E. Dennison, Emilio Chuvieco, et al.. (2013). A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products. Remote Sensing of Environment. 136. 455–468. 281 indexed citations
11.
Garcı́a, Mariano, et al.. (2009). Ajuste planimétrico de datos LiDAR para la estimación de características dasométricas en el Parque Natural del Alto Tajo. DIGITAL.CSIC (Spanish National Research Council (CSIC)). 184–208. 4 indexed citations
12.
Ustin, Susan L., David Riaño, & Marco Trombetti. (2008). The MODIS Vegetation Canopy Water Content product. AGU Fall Meeting Abstracts. 2008. 1 indexed citations
13.
Riaño, David, José A. Moreno-Ruíz, Daniel Isidoro, & Susan L. Ustin. (2006). Global spatial patterns and temporal trends of burned area between 1981 and 2000 using NOAA‐NASA Pathfinder. Global Change Biology. 13(1). 40–50. 74 indexed citations
14.
Chuvieco, Emilio, David Riaño, F. Mark Danson, & M. Pilar Martín. (2006). Use of a radiative transfer model to simulate the postfire spectral response to burn severity. Journal of Geophysical Research Atmospheres. 111(G4). 137 indexed citations
15.
Riaño, David, Fernando Valladares, Sonia Condés, & Emilio Chuvieco. (2004). Estimation of leaf area index and covered ground from airborne laser scanner (Lidar) in two contrasting forests. Agricultural and Forest Meteorology. 124(3-4). 269–275. 237 indexed citations
16.
Riaño, David, Η. Meier, Britta Allgöwer, Emilio Chuvieco, & D. X. Viegas. (2002). Generation of vegetation height, vegetation cover and crown bulk density from airborne laser scanning data.. 2 indexed citations
17.
Chuvieco, Emilio, David Riaño, Inmaculada Aguado, & David Cocero Matesanz. (2002). Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment. International Journal of Remote Sensing. 23(11). 2145–2162. 214 indexed citations
18.
Riaño, David, Emilio Chuvieco, Javier Salas, Alicia Palacios‐Orueta, & Aitor Bastarrika. (2002). Generation of fuel type maps from Landsat TM images and ancillary data in Mediterranean ecosystems. Canadian Journal of Forest Research. 32(8). 1301–1315. 106 indexed citations
19.
Chuvieco, Emilio, et al.. (2001). ESTIMACIÓN DEL ESTADO HÍDRICO DE LA VEGETACIÓN A PARTIR DE SENSORES DE ALTA Y BAJA RESOLUCIÓN. GeoFocus Revista Internacional de Ciencia y Tecnología de la Información Geográfica. 1–16. 3 indexed citations
20.
Matesanz, David Cocero, David Riaño, & Emilio Chuvieco Salinero. (1998). ESTIMACIÓN DE LA HUMEDAD DE LA VEGETACIÓN USANDO IMÁGENES DE SATÉLITE E ÍNDICES METEOROLÓGICOS DE PELIGRO DE INCENDIOS. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 59–72. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Forrest G. Hall Breakdown of academic impact, for papers by Joachim Hill Breakdown of academic impact, for papers by Thomas Hilker Breakdown of academic impact, for papers by Inge Jonckheere Breakdown of academic impact, for papers by Jan U.H. Eitel Breakdown of academic impact, for papers by Fabio Maselli Breakdown of academic impact, for papers by Damiano Gianelle Breakdown of academic impact, for papers by Fabian Ewald Fassnacht Breakdown of academic impact, for papers by Harm Bartholomeus Breakdown of academic impact, for papers by Carol A. Wessman
Rankless by CCL
2026