Birgit Peterson

908 total citations
28 papers, 724 citations indexed

About

Birgit Peterson is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Birgit Peterson has authored 28 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Global and Planetary Change, 17 papers in Ecology and 15 papers in Environmental Engineering. Recurrent topics in Birgit Peterson's work include Fire effects on ecosystems (21 papers), Remote Sensing and LiDAR Applications (15 papers) and Remote Sensing in Agriculture (9 papers). Birgit Peterson is often cited by papers focused on Fire effects on ecosystems (21 papers), Remote Sensing and LiDAR Applications (15 papers) and Remote Sensing in Agriculture (9 papers). Birgit Peterson collaborates with scholars based in United States, India and Canada. Birgit Peterson's co-authors include Peter Hyde, M. A. Hofton, Ralph Dubayah, J. B. Blair, Robert G. Knox, Bruce K. Wylie, Joshua J. Picotte, Carolyn T. Hunsaker, Wayne Walker and Stephen M. Howard and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Birgit Peterson

24 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Birgit Peterson United States	14	484	436	350	300	78	28	724
J. Kevin Hiers United States	13	283 0.6×	308 0.7×	625 1.8×	472 1.6×	126 1.6×	27	860
Vicente J. Monleón United States	16	304 0.6×	215 0.5×	384 1.1×	349 1.2×	123 1.6×	42	753
Benjamin C. Bright United States	18	396 0.8×	466 1.1×	779 2.2×	319 1.1×	97 1.2×	36	972
Geoffrey R. Holden United States	6	419 0.9×	403 0.9×	472 1.3×	349 1.2×	53 0.7×	12	771
Alfredo Fernández-Landa Spain	12	388 0.8×	356 0.8×	220 0.6×	215 0.7×	50 0.6×	24	575
Samuel Hislop Australia	14	253 0.5×	412 0.9×	471 1.3×	183 0.6×	27 0.3×	27	645
Bianca N.I. Eskelson Canada	13	254 0.5×	230 0.5×	296 0.8×	303 1.0×	93 1.2×	54	601
Mark D. Gillis Canada	10	413 0.9×	401 0.9×	329 0.9×	268 0.9×	127 1.6×	19	690
Simon Murphy Australia	11	647 1.3×	282 0.6×	383 1.1×	674 2.2×	204 2.6×	14	990
Karen Schleeweis United States	14	353 0.7×	565 1.3×	642 1.8×	229 0.8×	47 0.6×	30	877

Countries citing papers authored by Birgit Peterson

Since Specialization

Citations

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

Fields of papers citing papers by Birgit Peterson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Birgit Peterson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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).

Zhang, Xiaoyang, et al.. (2023). Using simulated GEDI waveforms to evaluate the effects of beam sensitivity and terrain slope on GEDI L2A relative height metrics over the Brazilian Amazon Forest. SHILAP Revista de lepidopterología. 7. 100083–100083. 25 indexed citations

Kumar, Sanath, et al.. (2020). A spatially adaptive filter for error reduction in satellite-based change detection algorithms. AGU Fall Meeting Abstracts. 2020.

Li, Zhengpeng, Hua Shi, James E. Vogelmann, Todd J. Hawbaker, & Birgit Peterson. (2020). Assessment of Fire Fuel Load Dynamics in Shrubland Ecosystems in the Western United States Using MODIS Products. Remote Sensing. 12(12). 1911–1911. 15 indexed citations

Kumar, Sanath, et al.. (2020). Potential Underestimation of Satellite Fire Radiative Power Retrievals over Gas Flares and Wildland Fires. Remote Sensing. 12(2). 238–238. 12 indexed citations

Picotte, Joshua J., et al.. (2019). LANDFIRE Remap Prototype Mapping Effort: Developing a New Framework for Mapping Vegetation Classification, Change, and Structure. Fire. 2(2). 35–35. 32 indexed citations

Kumar, Sanath, Joshua J. Picotte, & Birgit Peterson. (2019). Prototype Downscaling Algorithm for MODIS Satellite 1 km Daytime Active Fire Detections. Fire. 2(2). 29–29. 2 indexed citations

Stavros, E. Natasha, et al.. (2018). Use of imaging spectroscopy and LIDAR to characterize fuels for fire behavior prediction. Remote Sensing Applications Society and Environment. 11. 41–50. 28 indexed citations

Picotte, Joshua J., et al.. (2017). LANDFIRE 2015 Remap – Utilization of Remotely Sensed Data to Classify Existing Vegetation Type and Structure to Support Strategic Planning and Tactical Response. 4 indexed citations

10.

Picotte, Joshua J., et al.. (2016). 1984–2010 trends in fire burn severity and area for the conterminous US. International Journal of Wildland Fire. 25(4). 413–420. 58 indexed citations

11.

Peterson, Birgit, et al.. (2016). Enhanced canopy fuel mapping by integrating lidar data. Fact sheet. 1 indexed citations

12.

Ji, Lei, Bruce K. Wylie, Dana R. N. Brown, et al.. (2015). Spatially explicit estimation of aboveground boreal forest biomass in the Yukon River Basin, Alaska. International Journal of Remote Sensing. 36(4). 939–953. 8 indexed citations

13.

Peterson, Birgit, et al.. (2014). Mapping Forest Height in Alaska Using GLAS, Landsat Composites, and Airborne LiDAR. Remote Sensing. 6(12). 12409–12426. 20 indexed citations

14.

Peterson, Birgit, et al.. (2013). LANDFIRE 2010 - updated data to support wildfire and ecological management. 3 indexed citations

15.

Toney, Chris, et al.. (2012). Development and applications of the LANDFIRE forest structure layers. 305–309. 2 indexed citations

16.

Selkowitz, D., et al.. (2012). A multi-sensor lidar, multi-spectral and multi-angular approach for mapping canopy height in boreal forest regions. Remote Sensing of Environment. 121. 458–471. 44 indexed citations

17.

Ji, Lei, Bruce K. Wylie, Birgit Peterson, et al.. (2012). Estimating aboveground biomass in interior Alaska with Landsat data and field measurements. International Journal of Applied Earth Observation and Geoinformation. 18. 451–461. 83 indexed citations

18.

Peterson, Birgit, et al.. (2011). Developing a regional canopy fuels assessment strategy using multi-scale lidar. 1–8. 4 indexed citations

19.

Anderson, Jeanne E., Mary E. Martin, Ralph Dubayah, et al.. (2006). The use of waveform lidar to measure northern temperate mixed conifer and deciduous forest structure in New Hampshire. Remote Sensing of Environment. 105(3). 248–261. 101 indexed citations

20.

Peterson, Birgit, Peter Hyde, & Ralph Dubayah. (2001). MODELING LIDAR WAVEFORMS USING A RADIATIVE TRANSFER MODEL. AGUFM. 2001. 2 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.

Explore authors with similar magnitude of impact