A. Casas

634 total citations
9 papers, 486 citations indexed

About

A. Casas is a scholar working on Ecology, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, A. Casas has authored 9 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Ecology, 3 papers in Environmental Engineering and 3 papers in Water Science and Technology. Recurrent topics in A. Casas's work include Hydrology and Watershed Management Studies (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Hydrology and Sediment Transport Processes (3 papers). A. Casas is often cited by papers focused on Hydrology and Watershed Management Studies (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Hydrology and Sediment Transport Processes (3 papers). A. Casas collaborates with scholars based in Spain, United Kingdom and United States. A. Casas's co-authors include Gerardo Benito, Varyl R. Thorndycraft, M. Rico, David Riaño, Susan L. Ustin, Philip E. Dennison, Javier Salas, Yolanda Sánchez Moya, Stuart N. Lane and Dao‐Yi Yu and has published in prestigious journals such as Remote Sensing of Environment, Journal of Hydrology and Hydrology and earth system sciences.

In The Last Decade

A. Casas

9 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Casas Spain	6	271	269	181	126	122	9	486
Mingyong Cai China	13	246 0.9×	138 0.5×	133 0.7×	89 0.7×	117 1.0×	31	457
Richard Boothroyd United Kingdom	10	241 0.9×	242 0.9×	147 0.8×	104 0.8×	47 0.4×	25	446
Suraj Reddy Rodda India	11	319 1.2×	182 0.7×	168 0.9×	95 0.8×	87 0.7×	17	497
Julie Coonrod United States	7	391 1.4×	287 1.1×	305 1.7×	95 0.8×	87 0.7×	18	563
Lingtong Du China	12	571 2.1×	311 1.2×	106 0.6×	109 0.9×	166 1.4×	48	770
D. C. Goodrich United States	11	246 0.9×	191 0.7×	315 1.7×	148 1.2×	96 0.8×	19	519
Luis A. Méndez‐Barroso Mexico	13	408 1.5×	139 0.5×	223 1.2×	176 1.4×	182 1.5×	29	617
Vivien P. Chua Singapore	10	295 1.1×	134 0.5×	186 1.0×	85 0.7×	190 1.6×	21	578
Yuanfang Chai China	15	272 1.0×	203 0.8×	256 1.4×	62 0.5×	70 0.6×	34	482
Zidong Luo China	15	231 0.9×	68 0.3×	130 0.7×	83 0.7×	121 1.0×	28	430

Countries citing papers authored by A. Casas

Since Specialization

Citations

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

Fields of papers citing papers by A. Casas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Casas

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

All Works

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9 of 9 papers shown

García‐Alonso, M. C., António Ferraz, S. S. Saatchi, et al.. (2015). Estimating forest biomass from LiDAR data: A comparison of the raster-based and point-cloud data approach. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

Casas, A., David Riaño, Susan L. Ustin, Philip E. Dennison, & Javier Salas. (2014). Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral response. Remote Sensing of Environment. 148. 28–41. 100 indexed citations

Tapias, Josefina C., et al.. (2012). Monitoring spatial and temporal variations of permeability in constructed wetlands by time-lapse geophysical methods. EGUGA. 3687. 1 indexed citations

Casas, A., David Riaño, Jonathan A. Greenberg, & Susan L. Ustin. (2011). Assessing levee stability with geometric parameters derived from airborne LiDAR. Remote Sensing of Environment. 117. 281–288. 25 indexed citations

Casas, A., Stuart N. Lane, Dao‐Yi Yu, & Gerardo Benito. (2010). A method for parameterising roughness and topographic sub-grid scale effects in hydraulic modelling from LiDAR data. Hydrology and earth system sciences. 14(8). 1567–1579. 68 indexed citations

Casas, A., Gerardo Benito, Varyl R. Thorndycraft, & M. Rico. (2006). The topographic data source of digital terrain models as a key element in the accuracy of hydraulic flood modelling. Earth Surface Processes and Landforms. 31(4). 444–456. 185 indexed citations

Thorndycraft, Varyl R., Gerardo Benito, M. Rico, et al.. (2005). A long-term flood discharge record derived from slackwater flood deposits of the Llobregat River, NE Spain. Journal of Hydrology. 313(1-2). 16–31. 93 indexed citations

Thorndycraft, Varyl R., Gerardo Benito, Desmond E. Walling, et al.. (2004). Caesium-137 dating applied to slackwater flood deposits of the Llobregat River, NE Spain. CATENA. 59(3). 305–318. 9 indexed citations

Gallart, Francesc, A. Casas, P. E. O’Connell, et al.. (1998). Validating Hydrological Models using process studies and internal data from research basins : Tools for assessing hydrological impacts of environmental change (VAHMPIRE). Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4 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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