Eric Rowell

1.5k total citations
33 papers, 1.1k citations indexed

About

Eric Rowell is a scholar working on Global and Planetary Change, Environmental Engineering and Nature and Landscape Conservation. According to data from OpenAlex, Eric Rowell has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 19 papers in Environmental Engineering and 13 papers in Nature and Landscape Conservation. Recurrent topics in Eric Rowell's work include Fire effects on ecosystems (24 papers), Remote Sensing and LiDAR Applications (19 papers) and Forest ecology and management (11 papers). Eric Rowell is often cited by papers focused on Fire effects on ecosystems (24 papers), Remote Sensing and LiDAR Applications (19 papers) and Forest ecology and management (11 papers). Eric Rowell collaborates with scholars based in United States, Brazil and Japan. Eric Rowell's co-authors include Lee A. Vierling, Carl Seielstad, Kerri T. Vierling, Rick M. Clawges, Joseph J. O’Brien, Xuexia Chen, T.P. DeFelice, E. Louise Loudermilk, Andrew T. Hudak and Adam C. Watts and has published in prestigious journals such as Remote Sensing of Environment, New Phytologist and Earth-Science Reviews.

In The Last Decade

Eric Rowell

32 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Rowell United States 18 688 486 415 299 167 33 1.1k
Benjamin C. Bright United States 18 779 1.1× 396 0.8× 466 1.1× 319 1.1× 108 0.6× 36 972
Andrew Mellor Australia 13 507 0.7× 503 1.0× 664 1.6× 208 0.7× 45 0.3× 27 1.0k
Alexander Koltunov United States 16 480 0.7× 258 0.5× 459 1.1× 214 0.7× 49 0.3× 38 817
Mariela Soto‐Berelov Australia 18 556 0.8× 526 1.1× 687 1.7× 298 1.0× 26 0.2× 55 1.1k
Grazia Pellizzaro Italy 16 771 1.1× 157 0.3× 271 0.7× 271 0.9× 105 0.6× 41 1.1k
Hua Sun China 22 484 0.7× 727 1.5× 741 1.8× 446 1.5× 22 0.1× 74 1.3k
Leigh B. Lentile United States 21 1.8k 2.6× 376 0.8× 1.3k 3.2× 434 1.5× 198 1.2× 28 2.0k
Carmen Quintano Spain 23 1.5k 2.2× 625 1.3× 1.3k 3.2× 221 0.7× 172 1.0× 52 2.0k
Jeroen Vanden Borre Belgium 14 359 0.5× 247 0.5× 651 1.6× 124 0.4× 23 0.1× 33 956
Daniele de Rigo Italy 12 453 0.7× 84 0.2× 222 0.5× 111 0.4× 85 0.5× 37 783

Countries citing papers authored by Eric Rowell

Since Specialization
Citations

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

Fields of papers citing papers by Eric Rowell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Rowell

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

All Works

20 of 20 papers shown
1.
Alipour, Mohamad, Eric Rowell, Bharathan Balaji, et al.. (2025). Wildfire Fuels Mapping through Artificial Intelligence-based Methods: A Review. Earth-Science Reviews. 262. 105064–105064. 2 indexed citations
2.
Prichard, Susan J., et al.. (2025). Forest floor properties in pine forests of the southeastern and western United States. Fire Ecology. 21(1). 1 indexed citations
3.
Alipour, Mohamad, et al.. (2025). FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping. International Journal of Applied Earth Observation and Geoinformation. 138. 104436–104436. 1 indexed citations
4.
Bright, Benjamin C., Andrew T. Hudak, Nuria Sánchez‐López, et al.. (2025). Comparing biomass consumption estimated from point cloud data versus long-wave infrared imagery during prescribed growing season burns in pine woodlands of the southeastern United States. International Journal of Wildland Fire. 34(7).
5.
Ebrahimian, Hamed, et al.. (2024). Deep Learning Approach to Improve Spatial Resolution of GOES-17 Wildfire Boundaries Using VIIRS Satellite Data. Remote Sensing. 16(4). 715–715. 9 indexed citations
6.
Alipour, Mohamad, et al.. (2024). Remote Sensing and Mapping of Fine Woody Carbon With Satellite Imagery and Super Learner. IEEE Geoscience and Remote Sensing Letters. 22. 1–5. 2 indexed citations
7.
Fulé, Peter Z., Adam C. Watts, C.J. Moran, et al.. (2024). Pixels to pyrometrics: UAS-derived infrared imagery to evaluate and monitor prescribed fire behaviour and effects. International Journal of Wildland Fire. 33(11). 1 indexed citations
8.
Prichard, Susan J., et al.. (2023). Evaluating Close-Range Photogrammetry for 3D Understory Fuel Characterization and Biomass Prediction in Pine Forests. Remote Sensing. 15(19). 4837–4837. 4 indexed citations
9.
Alipour, Mohamad, Inga P. La Puma, Joshua J. Picotte, et al.. (2023). A Multimodal Data Fusion and Deep Learning Framework for Large-Scale Wildfire Surface Fuel Mapping. Fire. 6(2). 36–36. 24 indexed citations
10.
Juliano, Timothy W., et al.. (2023). The Role of Fuel Characteristics and Heat Release Formulations in Coupled Fire-Atmosphere Simulation. Fire. 6(7). 264–264. 2 indexed citations
11.
Silva, Carlos Alberto, Diogo Nepomuceno Cosenza, Midhun Mohan, et al.. (2023). Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem. Remote Sensing. 15(4). 1002–1002. 17 indexed citations
12.
Rowell, Eric, et al.. (2023). Quantifying Forest Litter Fuel Moisture Content with Terrestrial Laser Scanning. Remote Sensing. 15(6). 1482–1482. 5 indexed citations
13.
Chen, Xiwen, Hao Wang, Fatemeh Afghah, et al.. (2022). Wildland Fire Detection and Monitoring Using a Drone-Collected RGB/IR Image Dataset. IEEE Access. 10. 121301–121317. 99 indexed citations
14.
Hudak, Andrew T., Akira Kato, Benjamin C. Bright, et al.. (2020). Towards Spatially Explicit Quantification of Pre- and Postfire Fuels and Fuel Consumption from Traditional and Point Cloud Measurements. Forest Science. 66(4). 428–442. 34 indexed citations
15.
Loudermilk, E. Louise, et al.. (2018). A novel approach to fuel biomass sampling for 3D fuel characterization. MethodsX. 5. 1597–1604. 19 indexed citations
16.
Hoylman, Zachary, Kelsey Jencso, Jia Hu, et al.. (2018). Hillslope Topography Mediates Spatial Patterns of Ecosystem Sensitivity to Climate. Journal of Geophysical Research Biogeosciences. 123(2). 353–371. 49 indexed citations
17.
Rowell, Eric. (2017). VIRTUALIZATION OF FUELBEDS: BUILDING THE NEXT GENERATION OF FUELS DATA FOR MULTIPLE –SCALE FIRE MODELING AND ECOLOGICAL ANALYSIS. The Mathematics Enthusiast. 1 indexed citations
18.
Ottmar, Roger D., J. Kevin Hiers, Bret W. Butler, et al.. (2015). Measurements, datasets and preliminary results from the RxCADRE project – 2008, 2011 and 2012. International Journal of Wildland Fire. 25(1). 1–9. 53 indexed citations
19.
Rowell, Eric, Carl Seielstad, & Roger D. Ottmar. (2015). Development and validation of fuel height models for terrestrial lidar – RxCADRE 2012. International Journal of Wildland Fire. 25(1). 38–47. 28 indexed citations
20.
Clawges, Rick M., Kerri T. Vierling, Lee A. Vierling, & Eric Rowell. (2008). The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest. Remote Sensing of Environment. 112(5). 2064–2073. 161 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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