Brian Granneman

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Brian Granneman is a scholar working on Ecology, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Brian Granneman has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Global and Planetary Change and 3 papers in Atmospheric Science. Recurrent topics in Brian Granneman's work include Rangeland and Wildlife Management (4 papers), Remote Sensing in Agriculture (4 papers) and Fire effects on ecosystems (3 papers). Brian Granneman is often cited by papers focused on Rangeland and Wildlife Management (4 papers), Remote Sensing in Agriculture (4 papers) and Fire effects on ecosystems (3 papers). Brian Granneman collaborates with scholars based in United States and United Kingdom. Brian Granneman's co-authors include Jon Dewitz, Leila Gass, Collin G. Homer, Patrick Danielson, Matthew Rigge, George Xian, Suming Jin, J.A. Fry, Stacie Bender and Limin Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Remote Sensing.

In The Last Decade

Brian Granneman

9 papers receiving 1.1k citations

Hit Papers

A new generation of the United States National Land Cover... 2018 2026 2020 2023 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Granneman United States 8 568 528 330 253 154 9 1.2k
Alexander M. Tait United States 9 417 0.7× 471 0.9× 268 0.8× 196 0.8× 67 0.4× 25 1.0k
Bernard Devereux United Kingdom 19 527 0.9× 511 1.0× 226 0.7× 640 2.5× 157 1.0× 25 1.6k
Maureen C. Kennedy United States 22 514 0.9× 1.1k 2.0× 406 1.2× 121 0.5× 365 2.4× 51 1.7k
Elizabeth A. Burakowski United States 20 167 0.3× 625 1.2× 544 1.6× 174 0.7× 82 0.5× 44 1.0k
M. S. R. Murthy India 22 698 1.2× 1.0k 1.9× 296 0.9× 330 1.3× 271 1.8× 64 1.7k
Federico Filipponi Italy 18 601 1.1× 625 1.2× 194 0.6× 342 1.4× 59 0.4× 58 1.4k
Janice Bathols Australia 10 357 0.6× 603 1.1× 347 1.1× 81 0.3× 242 1.6× 12 1.4k
Xiuchun Yang China 20 790 1.4× 719 1.4× 254 0.8× 373 1.5× 111 0.7× 56 1.3k
Gail Schmidt United States 9 1.0k 1.8× 964 1.8× 298 0.9× 451 1.8× 96 0.6× 13 1.6k
Kenneth C. McGwire United States 16 396 0.7× 441 0.8× 149 0.5× 255 1.0× 96 0.6× 38 995

Countries citing papers authored by Brian Granneman

Since Specialization
Citations

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

Fields of papers citing papers by Brian Granneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Granneman

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Granneman. A scholar is included among the top collaborators of Brian Granneman 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 Brian Granneman. Brian Granneman 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.
Jin, Suming, Jon Dewitz, Patrick Danielson, et al.. (2023). National Land Cover Database 2019: A New Strategy for Creating Clean Leaf-On and Leaf-Off Landsat Composite Images. SHILAP Revista de lepidopterología. 3. 19 indexed citations
2.
Jin, Suming, Jon Dewitz, Congcong Li, et al.. (2023). National Land Cover Database 2019: A Comprehensive Strategy for Creating the 1986–2019 Forest Disturbance Product. SHILAP Revista de lepidopterología. 3. 10 indexed citations
3.
Rigge, Matthew, Collin G. Homer, Hua Shi, et al.. (2021). Rangeland Fractional Components Across the Western United States from 1985 to 2018. Remote Sensing. 13(4). 813–813. 40 indexed citations
4.
Rigge, Matthew, Hua Shi, Collin G. Homer, Patrick Danielson, & Brian Granneman. (2019). Long‐term trajectories of fractional component change in the Northern Great Basin, USA. Ecosphere. 10(6). 32 indexed citations
5.
Yang, Limin, Suming Jin, Patrick Danielson, et al.. (2018). A new generation of the United States National Land Cover Database: Requirements, research priorities, design, and implementation strategies. ISPRS Journal of Photogrammetry and Remote Sensing. 146. 108–123. 626 indexed citations breakdown →
6.
Wickham, James, Stephen V. Stehman, Leila Gass, et al.. (2017). Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD). Remote Sensing of Environment. 191. 328–341. 200 indexed citations
7.
Xian, George, et al.. (2013). An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD. ISPRS Journal of Photogrammetry and Remote Sensing. 86. 136–149. 22 indexed citations
8.
Bouchard, Michelle, John L. Dwyer, & Brian Granneman. (2009). A Yukon River Basin Landsat Mosaic for Assessing Environmental Change. AGUFM. 2009. 1 indexed citations
9.
Bindschadler, R., et al.. (2008). The Landsat Image Mosaic of Antarctica. Remote Sensing of Environment. 112(12). 4214–4226. 231 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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