Carlos Ramírez

878 total citations
24 papers, 661 citations indexed

About

Carlos Ramírez is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, Carlos Ramírez has authored 24 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 10 papers in Environmental Engineering and 10 papers in Global and Planetary Change. Recurrent topics in Carlos Ramírez's work include Remote Sensing in Agriculture (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Fire effects on ecosystems (10 papers). Carlos Ramírez is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Remote Sensing and LiDAR Applications (10 papers) and Fire effects on ecosystems (10 papers). Carlos Ramírez collaborates with scholars based in United States, United Kingdom and Netherlands. Carlos Ramírez's co-authors include Susan L. Ustin, Alexander Koltunov, Emma C. Underwood, Mariano Garcı́a, Dar A. Roberts, Sassan Saatchi, Heiko Balzter, Shengli Huang, Sander Veraverbeke and Jonathan A. Greenberg and has published in prestigious journals such as Ecology, Remote Sensing of Environment and Forest Ecology and Management.

In The Last Decade

Carlos Ramírez

24 papers receiving 644 citations

Peers

Carlos Ramírez

ECOLO

GPC

NLC

R.S. Skakun Canada

Geoffrey A. Fricker United States

Mark D. Gillis Canada

Bonnie Ruefenacht United States

Birgen Haest Switzerland

Saverio Francini Italy

Nicolò Camarretta Germany

Alfredo Fernández-Landa Spain

Benjamin C. Bright United States

Matthew Colgan United States

R.S. Skakun Canada

Carlos Ramírez

685 ×1.8

ECOLO

445 ×1.2

GPC

437 ×1.7

283 ×1.2

NLC

89 ×0.9

Citations per year, relative to Carlos Ramírez Carlos Ramírez (= 1×) peers R.S. Skakun

Countries citing papers authored by Carlos Ramírez

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Ramírez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Ramírez

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

All Works

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20 of 20 papers shown

Huang, Shengli, et al.. (2019). LITIDA: a cost-effective non-parametric imputation approach to estimate LiDAR-detected tree diameters over a large heterogeneous area. Forestry An International Journal of Forest Research. 92(2). 206–218. 2 indexed citations

Slaton, Michèle R., et al.. (2019). Whitebark Pine Recruitment in Sierra Nevada Driven by Range Position and Disturbance History. Forests. 10(5). 455–455. 9 indexed citations

Ramírez, Carlos, et al.. (2018). Exploring the contribution of dietary protein from poultry by product meal and fish meal to the growth of catfish Ictalurus punctatus by means of nitrogen stable isotopes. Latin American Journal of Aquatic Research. 46(1). 37–44. 14 indexed citations

Xu, Qing, Zhengyang Hou, Juho Pitkänen, et al.. (2018). Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment. 216. 514–528. 45 indexed citations

Roberts, Dar A., et al.. (2018). Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy. Remote Sensing. 10(3). 389–389. 46 indexed citations

Huang, Shengli, et al.. (2018). F3: Simulating spatiotemporal forest change from field inventory, remote sensing, growth modeling, and management actions. Forest Ecology and Management. 415-416. 26–37. 22 indexed citations

Stavros, E. Natasha, et al.. (2018). Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction. Remote Sensing Applications Society and Environment. 11. 41–50. 28 indexed citations

Garcı́a, Mariano, Sassan Saatchi, Alexander Koltunov, et al.. (2017). Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data. Journal of Geophysical Research Biogeosciences. 122(2). 340–353. 49 indexed citations

Huang, Shengli, et al.. (2017). Updating land cover automatically based on change detection using satellite images: case study of national forests in Southern California. GIScience & Remote Sensing. 54(4). 495–514. 8 indexed citations

10.

Garcı́a, Mariano, Sassan Saatchi, Alexander Koltunov, et al.. (2017). Extrapolating Forest Canopy Fuel Properties in the California Rim Fire by Combining Airborne LiDAR and Landsat OLI Data. Remote Sensing. 9(4). 394–394. 42 indexed citations

11.

Huang, Shengli, et al.. (2016). Mapping site index and volume increment from forest inventory, Landsat, and ecological variables in Tahoe National Forest, California, USA. Canadian Journal of Forest Research. 47(1). 113–124. 22 indexed citations

12.

Tempel, Douglas J., John J. Keane, R. J. Gutiérrez, et al.. (2016). Meta-analysis of California Spotted Owl (Strix occidentalis occidentalis) territory occupancy in the Sierra Nevada: Habitat associations and their implications for forest management. Ornithological Applications. 118(4). 747–765. 44 indexed citations

13.

Garcı́a, Mariano, et al.. (2016). Burned forest characterization at single-tree level with airborne laser scanning for assessing wildlife habitat. Remote Sensing of Environment. 175. 231–241. 44 indexed citations

14.

Kane, Van R., Sander Veraverbeke, Robert J. McGaughey, et al.. (2016). Unprecedented remote sensing data over King and Rim megafires in the Sierra Nevada Mountains of California. Ecology. 97(11). 3244–3244. 19 indexed citations

15.

Huang, Shengli, et al.. (2016). A New Approach to Extrapolate Forest Attributes from Field Inventory with Satellite and Auxiliary Data Sets. Forest Science. 63(2). 232–240. 11 indexed citations

16.

Ustin, Susan L., Mary E. Andrews, Yen-Ben Cheng, et al.. (2008). Application of Hyperspectral Techniques to Monitoring and Management of Invasive Plant Species Infestation. Defense Technical Information Center (DTIC). 1 indexed citations

17.

Underwood, Emma C., Susan L. Ustin, & Carlos Ramírez. (2006). A Comparison of Spatial and Spectral Image Resolution for Mapping Invasive Plants in Coastal California. Environmental Management. 39(1). 63–83. 80 indexed citations

18.

Greenberg, Jonathan A., et al.. (2006). A Bottom-up Approach to Vegetation Mapping of the Lake Tahoe Basin Using Hyperspatial Image Analysis. Photogrammetric Engineering & Remote Sensing. 72(5). 581–589. 20 indexed citations

19.

Viers, Joshua H., Carlos Ramírez, James Quinn, & Michael L. Johnson. (2005). The use of Hyperspectral Technologies to Identify Riparian Habitats in Coastal Watersheds: An Example from the Navarro River, California. 1377–1391. 2 indexed citations

20.

Torres, Patricio, et al.. (1998). [Infection by intestinal protozoa and helminths in schoolchildren from riverside sectors, with different fecal contamination levels, of Valdivia River, Chile].. PubMed. 52(1-2). 3–11. 10 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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