G. Scheer

1.7k total citations · 1 hit paper
9 papers, 1.4k citations indexed

About

G. Scheer is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, G. Scheer has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 4 papers in Environmental Engineering and 4 papers in Global and Planetary Change. Recurrent topics in G. Scheer's work include Remote Sensing in Agriculture (7 papers), Rangeland and Wildlife Management (5 papers) and Remote Sensing and LiDAR Applications (3 papers). G. Scheer is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Rangeland and Wildlife Management (5 papers) and Remote Sensing and LiDAR Applications (3 papers). G. Scheer collaborates with scholars based in United States, France and Australia. G. Scheer's co-authors include Susan L. Ustin, Margaret Gardner, Dar A. Roberts, R.O. Green, Richard L. Church, Jorge Enrique Dí­az Pinzón, Alicia Palacios‐Orueta, Stéphane Jacquemoud, Emma C. Underwood and Quinn Hart and has published in prestigious journals such as Remote Sensing of Environment, International Journal of Remote Sensing and JAWRA Journal of the American Water Resources Association.

In The Last Decade

G. Scheer

8 papers receiving 1.3k citations

Hit Papers

Mapping Chaparral in the Santa Monica Mountains Using Mul... 1998 2026 2007 2016 1998 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Scheer United States 5 876 600 458 450 331 9 1.4k
A. Dyk Canada 12 682 0.8× 523 0.9× 442 1.0× 298 0.7× 225 0.7× 44 1.2k
Y. E. Shimabukuro Brazil 17 764 0.9× 529 0.9× 417 0.9× 398 0.9× 219 0.7× 40 1.3k
Gerald W. Felde United States 16 674 0.8× 572 1.0× 486 1.1× 536 1.2× 352 1.1× 20 1.6k
Craig A. Coburn Canada 18 853 1.0× 415 0.7× 534 1.2× 217 0.5× 257 0.8× 47 1.3k
Jayantha Ediriwickrema United States 8 832 0.9× 636 1.1× 283 0.6× 323 0.7× 349 1.1× 9 1.1k
G. Fedosejevs Canada 20 814 0.9× 756 1.3× 491 1.1× 190 0.4× 561 1.7× 43 1.6k
H. Peter White Canada 17 873 1.0× 511 0.9× 583 1.3× 176 0.4× 148 0.4× 37 1.3k
Claudio Conese Italy 17 598 0.7× 343 0.6× 294 0.6× 372 0.8× 283 0.9× 30 975
M. J. Barnsley United Kingdom 18 875 1.0× 735 1.2× 543 1.2× 254 0.6× 357 1.1× 37 1.5k
Kerry Halligan United States 8 466 0.5× 422 0.7× 370 0.8× 272 0.6× 185 0.6× 10 910

Countries citing papers authored by G. Scheer

Since Specialization
Citations

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

Fields of papers citing papers by G. Scheer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Scheer

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

All Works

9 of 9 papers shown
1.
Greenberg, Jonathan A., Erin L. Hestir, David Riaño, G. Scheer, & Susan L. Ustin. (2012). Using LiDAR Data Analysis to Estimate Changes in Insolation Under Large‐Scale Riparian Deforestation1. JAWRA Journal of the American Water Resources Association. 48(5). 939–948. 16 indexed citations
2.
Ustin, Susan L., Quinn Hart, G. Scheer, & Lei Duan. (2005). Estimating dry grass biomass residues using AVIRIS image analysis. 2. 1211–1212.
3.
Ustin, Susan L., et al.. (2003). Hyperspectral remote sensing for invasive species detection and mapping. 3. 1658–1660. 73 indexed citations
4.
Roberts, Dar A., Margaret Gardner, Richard L. Church, et al.. (1998). Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models. Remote Sensing of Environment. 65(3). 267–279. 1067 indexed citations breakdown →
5.
Ustin, Susan L., Dar A. Roberts, Jorge Enrique Dí­az Pinzón, et al.. (1998). Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods. Remote Sensing of Environment. 65(3). 280–291. 181 indexed citations
6.
Ustin, Susan L., et al.. (1996). Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods. 1. 2 indexed citations
7.
Ustin, Susan L., Quinn Hart, Lei Duan, & G. Scheer. (1996). Vegetation mapping on hardwood rangelands in California. International Journal of Remote Sensing. 17(15). 3015–3036. 33 indexed citations
8.
Roberts, Dar A., et al.. (1996). Mapping Chaparral in the Santa Monica Mountains Using Multiple Spectral Mixture Models. NASA Technical Reports Server (NASA). 1. 3 indexed citations
9.
Hart, Quinn, et al.. (1993). Estimating dry grass residues using landscape integration analysis. NASA Technical Reports Server (NASA). 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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