Shane Coffield

460 total citations
14 papers, 261 citations indexed

About

Shane Coffield is a scholar working on Global and Planetary Change, Safety, Risk, Reliability and Quality and Atmospheric Science. According to data from OpenAlex, Shane Coffield has authored 14 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 3 papers in Safety, Risk, Reliability and Quality and 3 papers in Atmospheric Science. Recurrent topics in Shane Coffield's work include Fire effects on ecosystems (10 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Atmospheric chemistry and aerosols (3 papers). Shane Coffield is often cited by papers focused on Fire effects on ecosystems (10 papers), Atmospheric and Environmental Gas Dynamics (4 papers) and Atmospheric chemistry and aerosols (3 papers). Shane Coffield collaborates with scholars based in United States, United Kingdom and Colombia. Shane Coffield's co-authors include James T. Randerson, Michael L. Goulden, Yang Chen, Padhraic Smyth, Efi Foufoula‐Georgiou, William R. L. Anderegg, Chao Wu, Anna T. Trugman, Danny Cullenward and Grayson Badgley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Health Perspectives and Global Change Biology.

In The Last Decade

Shane Coffield

11 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shane Coffield United States 9 208 50 47 40 34 14 261
Rui Reis Portugal 6 144 0.7× 18 0.4× 56 1.2× 60 1.5× 12 0.4× 10 293
Sumalika Biswas United States 7 295 1.4× 76 1.5× 29 0.6× 77 1.9× 14 0.4× 14 375
Davide Fornacca China 6 209 1.0× 16 0.3× 21 0.4× 129 3.2× 23 0.7× 15 264
Rob Gazzard United Kingdom 4 210 1.0× 36 0.7× 49 1.0× 47 1.2× 60 1.8× 4 283
Haoxuan Sun China 6 121 0.6× 14 0.3× 43 0.9× 64 1.6× 5 0.1× 11 265
A. A. Krasovskiĭ Austria 10 192 0.9× 33 0.7× 39 0.8× 51 1.3× 14 0.4× 33 319
Amanda R. Carlson United States 8 231 1.1× 27 0.5× 35 0.7× 74 1.9× 50 1.5× 12 277
Emerson Mariano da Silva Brazil 9 121 0.6× 68 1.4× 29 0.6× 54 1.4× 3 0.1× 57 284
Durrant Tracy 9 254 1.2× 31 0.6× 61 1.3× 63 1.6× 59 1.7× 13 315
Liberta' Giorgio 5 182 0.9× 23 0.5× 45 1.0× 43 1.1× 45 1.3× 6 217

Countries citing papers authored by Shane Coffield

Since Specialization
Citations

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

Fields of papers citing papers by Shane Coffield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shane Coffield

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

All Works

14 of 14 papers shown
1.
Chen, Yang, Rebecca C. Scholten, Rachel A. Loehman, et al.. (2025). Near real-time indicators of burn severity in the western U.S. from active fire tracking. Fire Ecology. 21(1).
2.
Leite, Rodrigo Vieira, Cibele Hummel do Amaral, C. S. R. Neigh, et al.. (2024). Leveraging the next generation of spaceborne Earth observations for fuel monitoring and wildland fire management. Remote Sensing in Ecology and Conservation. 11(2). 133–155. 2 indexed citations
3.
Wang, Jonathan, et al.. (2024). Rising forest exposure and fire severity from climate warming amplify tree cover losses from wildfire in California. Environmental Research Letters. 19(11). 114087–114087.
4.
Wu, Chao, Shane Coffield, Michael L. Goulden, et al.. (2023). Uncertainty in US forest carbon storage potential due to climate risks. Nature Geoscience. 16(5). 422–429. 44 indexed citations
5.
Gorris, Morgan E., James T. Randerson, Shane Coffield, et al.. (2023). Assessing the Influence of Climate on the Spatial Pattern of West Nile Virus Incidence in the United States. Environmental Health Perspectives. 131(4). 47016–47016. 12 indexed citations
6.
Chen, Yang, Stijn Hantson, Niels Andela, et al.. (2022). California wildfire spread derived using VIIRS satellite observations and an object-based tracking system. Scientific Data. 9(1). 249–249. 40 indexed citations
8.
Coffield, Shane, Jonathan Wang, Grayson Badgley, et al.. (2022). Using remote sensing to quantify the additional climate benefits of California forest carbon offset projects. Global Change Biology. 28(22). 6789–6806. 38 indexed citations
9.
Coffield, Shane, Kyle S. Hemes, Charles D. Koven, Michael L. Goulden, & James T. Randerson. (2021). Climate‐Driven Limits to Future Carbon Storage in California's Wildland Ecosystems. SHILAP Revista de lepidopterología. 2(3). 27 indexed citations
10.
Chen, Yang, James T. Randerson, Shane Coffield, et al.. (2020). Forecasting Global Fire Emissions on Subseasonal to Seasonal (S2S) Time Scales. Journal of Advances in Modeling Earth Systems. 12(9). e2019MS001955–e2019MS001955. 16 indexed citations
11.
Coffield, Shane, et al.. (2020). Forecasting Daily Wildfire Activity Using Poisson Regression. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 4837–4851. 31 indexed citations
12.
Coffield, Shane. (2019). Machine learning to predict final fire size at the time of ignition. 1 indexed citations
13.
Coffield, Shane, et al.. (2019). Machine learning to predict final fire size at the time of ignition. International Journal of Wildland Fire. 28(11). 861–873. 38 indexed citations
14.
Al‐Hamdan, Mohammad Z., et al.. (2019). Development and validation of improved PM2.5 models for public health applications using remotely sensed aerosol and meteorological data. Environmental Monitoring and Assessment. 191(S2). 328–328. 12 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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