A. Casas

640 citations
9 papers · 487 · h-index 6

Impact in

Papers in

A. Casas

9 papers receiving 469 citations

Peers

A. Casas
Comparison fields: 5 of 43
  • Water Science and Technology 180
  • Global and Planetary Change 272
  • Earth-Surface Processes 74
  • Ecology 269
  • Environmental Engineering 126
Replace David M. Cobby with:
David M. Cobby United Kingdom
Mingyong Cai China
Jessika Töyrä Canada
Julie Coonrod United States
Jaime R. Goode United States
Luis A. Méndez‐Barroso Mexico
Amar Nayegandhi United States
Adam P. Schreiner‐McGraw United States
Alan Kasprak United States
Sara Bangen United States
A. Casas relative to David M. Cobby United Kingdom David M. Cobby's profile →
Citations per field
00.5×3.3×
David M. Cobby · 1×
Citations per year

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-authors

The 25 scholars most cited alongside A. Casas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Casas Line = papers co-authored together A. Casas links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2006187
2 201499
3 200593
4 201068
5 201125
6 20049
7
Validating Hydrological Models using process studies and internal data from research basins : Tools for assessing hydrological impacts of environmental change (VAHMPIRE)
19984
8
Monitoring spatial and temporal variations of permeability in constructed wetlands by time-lapse geophysical methods
20121
9
Estimating forest biomass from LiDAR data: A comparison of the raster-based and point-cloud data approach
20151

About A. Casas

A. Casas is a scholar working on Ecology, Environmental Engineering, Water Science and Technology, Global and Planetary Change and Atmospheric Science, having authored 9 papers that have together received 487 indexed citations. Recurring topics across this work include Hydrology and Sediment Transport Processes (3 papers), Hydrology and Watershed Management Studies (3 papers), Remote Sensing and LiDAR Applications (3 papers), Soil erosion and sediment transport (2 papers), Maritime and Coastal Archaeology (2 papers), Geology and Paleoclimatology Research (2 papers), Forest Management and Policy (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Water Science and Technology (180 citations), Global and Planetary Change (272 citations), Earth-Surface Processes (74 citations), Ecology (269 citations) and Environmental Engineering (126 citations). A. Casas has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Gerardo Benito, M. Rico, Varyl R. Thorndycraft, David Riaño, Susan L. Ustin, Philip E. Dennison, Javier Salas, Yolanda Sánchez Moya, Alfonso Sopeña and Stuart N. Lane. Their work appears in journals such as Remote Sensing of Environment, Journal of Hydrology, Earth Surface Processes and Landforms, Hydrology and earth system sciences and CATENA.

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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