Scott Macomber

2.7k total citations · 1 hit paper
10 papers, 2.2k citations indexed

About

Scott Macomber is a scholar working on Ecology, Environmental Engineering and Ecological Modeling. According to data from OpenAlex, Scott Macomber has authored 10 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ecology, 8 papers in Environmental Engineering and 3 papers in Ecological Modeling. Recurrent topics in Scott Macomber's work include Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (8 papers) and Species Distribution and Climate Change (3 papers). Scott Macomber is often cited by papers focused on Remote Sensing in Agriculture (10 papers), Remote Sensing and LiDAR Applications (8 papers) and Species Distribution and Climate Change (3 papers). Scott Macomber collaborates with scholars based in United States. Scott Macomber's co-authors include Curtis E. Woodcock, Conghe Song, Karen C. Seto, Sucharita Gopal, Warren B. Cohen, Gail A. Carpenter, Siegfried Martens, Xiaowen Li, John B. Collins and Janet Franklin and has published in prestigious journals such as Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Scott Macomber

10 papers receiving 2.0k citations

Hit Papers

Classification and Change Detection Using Landsat TM Data 2001 2026 2009 2017 2001 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Classification and Change Detection Using Landsat TM Data
    2001 1.4k citations Conghe Song, Curtis E. Woodcock et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Macomber United States 8 1.5k 1.1k 731 646 460 10 2.2k
John G. Lyon United States 19 1.7k 1.1× 1.1k 1.0× 674 0.9× 504 0.8× 570 1.2× 39 2.3k
V. Kovalskyy United States 13 1.7k 1.1× 1.4k 1.3× 857 1.2× 353 0.5× 471 1.0× 23 2.4k
D.K. McIver United States 6 1.5k 1.0× 1.8k 1.6× 787 1.1× 347 0.5× 906 2.0× 11 2.6k
D. Muchoney United States 10 1.6k 1.1× 1.7k 1.6× 797 1.1× 314 0.5× 884 1.9× 19 2.7k
Dennis C. Duro Canada 10 949 0.6× 610 0.6× 406 0.6× 410 0.6× 317 0.7× 11 1.7k
Darren Pouliot Canada 28 1.1k 0.7× 765 0.7× 708 1.0× 283 0.4× 665 1.4× 49 2.2k
D. E. STREBEL United States 15 1.1k 0.7× 1.4k 1.3× 827 1.1× 255 0.4× 696 1.5× 37 2.2k
G. Scheer United States 5 876 0.6× 600 0.6× 458 0.6× 450 0.7× 331 0.7× 9 1.4k
Todd A. Schroeder United States 21 1.5k 1.0× 1.5k 1.5× 843 1.2× 258 0.4× 384 0.8× 41 2.4k
A. Bannari Canada 18 1.6k 1.0× 740 0.7× 994 1.4× 319 0.5× 355 0.8× 61 2.4k

Countries citing papers authored by Scott Macomber

Since Specialization
Citations

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

Fields of papers citing papers by Scott Macomber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Macomber

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

All Works

10 of 10 papers shown
1.
Song, Conghe, et al.. (2001). Classification and Change Detection Using Landsat TM Data. Remote Sensing of Environment. 75(2). 230–244. 1373 indexed citations breakdown →
2.
Woodcock, Curtis E., et al.. (2001). Forest mapping with a generalized classifier and Landsat TM data. Remote Sensing of Environment. 77(3). 241–250. 108 indexed citations
3.
Woodcock, Curtis E., et al.. (2001). Monitoring large areas for forest change using Landsat: Generalization across space, time and Landsat sensors. Remote Sensing of Environment. 78(1-2). 194–203. 228 indexed citations
4.
Carpenter, Gail A., Sucharita Gopal, Scott Macomber, et al.. (1999). A Neural Network Method for Efficient Vegetation Mapping. Remote Sensing of Environment. 70(3). 326–338. 96 indexed citations
5.
Carpenter, Gail A., Sucharita Gopal, Scott Macomber, Siegfried Martens, & Curtis E. Woodcock. (1999). A Neural Network Method for Mixture Estimation for Vegetation Mapping. Remote Sensing of Environment. 70(2). 138–152. 112 indexed citations
6.
Woodcock, Curtis E., et al.. (1998). Automated identification of temperate conifer forests in Landsat imagery: generalization in time and space. 4 1. 801–803 vol.2. 1 indexed citations
7.
Woodcock, Curtis E., et al.. (1997). Inversion of the Li-Strahler canopy reflectance model for mapping forest structure. IEEE Transactions on Geoscience and Remote Sensing. 35(2). 405–414. 80 indexed citations
8.
Woodcock, Curtis E., John B. Collins, Sucharita Gopal, et al.. (1994). Mapping forest vegetation using Landsat TM imagery and a canopy reflectance model. Remote Sensing of Environment. 50(3). 240–254. 124 indexed citations
9.
Macomber, Scott & Curtis E. Woodcock. (1994). Mapping and monitoring conifer mortality using remote sensing in the Lake Tahoe Basin. Remote Sensing of Environment. 50(3). 255–266. 48 indexed citations
10.
Woodcock, Curtis E., et al.. (1990). Timber inventory using Landsat Thematic Mapper imagery and canopy reflectance models.. 937–948. 6 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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2026