Andrew J. Lister

2.3k total citations
67 papers, 1.5k citations indexed

About

Andrew J. Lister is a scholar working on Environmental Engineering, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Andrew J. Lister has authored 67 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Environmental Engineering, 40 papers in Ecology and 34 papers in Nature and Landscape Conservation. Recurrent topics in Andrew J. Lister's work include Remote Sensing and LiDAR Applications (45 papers), Forest ecology and management (32 papers) and Remote Sensing in Agriculture (31 papers). Andrew J. Lister is often cited by papers focused on Remote Sensing and LiDAR Applications (45 papers), Forest ecology and management (32 papers) and Remote Sensing in Agriculture (31 papers). Andrew J. Lister collaborates with scholars based in United States, China and Singapore. Andrew J. Lister's co-authors include Rachel Riemann, Barry T. Wilson, Geoffrey R. Holden, Mark Finco, Jock A. Blackard, Eileen H. Helmer, Michael Hoppus, Gretchen G. Moisen, Dennis M. Jacobs and Charles T. Scott and has published in prestigious journals such as Remote Sensing of Environment, Global Change Biology and Sensors.

In The Last Decade

Andrew J. Lister

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew J. Lister United States 17 812 790 719 670 118 67 1.5k
Nicholas Goodwin Australia 20 612 0.8× 919 1.2× 941 1.3× 446 0.7× 217 1.8× 32 1.6k
Matthew J. Gregory United States 20 1.1k 1.4× 548 0.7× 1.0k 1.5× 633 0.9× 147 1.2× 35 1.7k
Hua Sun China 22 484 0.6× 727 0.9× 741 1.0× 446 0.7× 89 0.8× 74 1.3k
Heather Reese Sweden 20 650 0.8× 983 1.2× 1.1k 1.6× 485 0.7× 169 1.4× 42 1.9k
Ricardo Dalagnol Brazil 21 839 1.0× 533 0.7× 633 0.9× 322 0.5× 58 0.5× 62 1.4k
Jon Pasher Canada 21 665 0.8× 535 0.7× 648 0.9× 389 0.6× 132 1.1× 44 1.8k
Guillermo Castilla Canada 18 463 0.6× 607 0.8× 714 1.0× 254 0.4× 172 1.5× 37 1.3k
Wade T. Tinkham United States 20 808 1.0× 443 0.6× 476 0.7× 366 0.5× 157 1.3× 52 1.2k
Anu Swatantran United States 16 360 0.4× 710 0.9× 570 0.8× 389 0.6× 97 0.8× 29 1.1k
Luc Guindon Canada 21 1.3k 1.6× 968 1.2× 1.1k 1.5× 790 1.2× 197 1.7× 50 2.2k

Countries citing papers authored by Andrew J. Lister

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Lister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Lister. 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 Andrew J. Lister. The network helps show where Andrew J. Lister may publish in the future.

Co-authorship network of co-authors of Andrew J. Lister

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Lister. A scholar is included among the top collaborators of Andrew J. Lister 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 Andrew J. Lister. Andrew J. Lister 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.
Popescu, Sorin, et al.. (2025). Mapping aboveground biomass in Oregon, Washington, Idaho and California with ICESat-2, GEDI and ancillary data. Forest Ecology and Management. 595. 123040–123040. 1 indexed citations
2.
Hurtt, G. C., Lei Ma, Elliott Campbell, et al.. (2024). Beyond MRV: combining remote sensing and ecosystem modeling for geospatial monitoring and attribution of forest carbon fluxes over Maryland, USA. Environmental Research Letters. 19(12). 124058–124058.
4.
Ma, Lei, G. C. Hurtt, Hao Tang, et al.. (2021). High-resolution forest carbon modelling for climate mitigation planning over the RGGI region, USA. Environmental Research Letters. 16(4). 45014–45014. 14 indexed citations
5.
Tang, Hao, et al.. (2020). High-resolution forest carbon mapping for climate mitigation baselines over the RGGI region, USA. Environmental Research Letters. 16(3). 35011–35011. 17 indexed citations
6.
7.
Lister, Andrew J., Hans Henrik Andersen, Tracey S. Frescino, et al.. (2020). Use of Remote Sensing Data to Improve the Efficiency of National Forest Inventories: A Case Study from the United States National Forest Inventory. Forests. 11(12). 1364–1364. 66 indexed citations
9.
Riemann, Rachel, et al.. (2018). Tree species distribution in the United States Part 1. Journal of Maps. 14(2). 561–566. 4 indexed citations
10.
Healey, Sean P., et al.. (2015). CMS: GLAS LiDAR-derived Global Estimates of Forest Canopy Height, 2004-2008. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 13 indexed citations
11.
Westfall, James A., Andrew J. Lister, & Charles T. Scott. (2015). Precision and cost considerations for two-stage sampling in a panelized forest inventory design. Environmental Monitoring and Assessment. 188(1). 11–11. 5 indexed citations
12.
Köhl, M., et al.. (2011). Implications of sampling design and sample size for national carbon accounting systems. Carbon Balance and Management. 6(1). 10–10. 38 indexed citations
13.
Ruefenacht, Bonnie, Mark Finco, Mark D. Nelson, et al.. (2008). Conterminous U.S. and Alaska Forest Type Mapping Using Forest Inventory and Analysis Data. Photogrammetric Engineering & Remote Sensing. 74(11). 1379–1388. 197 indexed citations
14.
Lister, Andrew J., et al.. (2008). Imputing forest inventory data to stands formed by image segmentation in Maryland's Green Ridge State Forest. 1–12. 1 indexed citations
15.
Blackard, Jock A., Mark Finco, Eileen H. Helmer, et al.. (2007). Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information. Remote Sensing of Environment. 112(4). 1658–1677. 344 indexed citations
16.
Hoppus, Michael & Andrew J. Lister. (2007). The status of accurately locating forest inventory and analysis plots using the Global Positioning System. 77. 14 indexed citations
17.
McRoberts, Ronald E., Geoffrey R. Holden, Mark D. Nelson, et al.. (2005). Estimating and Circumventing the Effects of Perturbing and Swapping Inventory Plot Locations. Journal of Forestry. 103(6). 275–279. 49 indexed citations
18.
Hoppus, Michael & Andrew J. Lister. (2002). A statistically valid method for using FIA plots to guide spectral class rejection in producing stratification maps. 230. 4 indexed citations
19.
Huang, Chengquan, Limin Yang, Collin G. Homer, et al.. (2002). Synergistic use of FIA plot data and Landsat 7 ETM+ images for large area forest mapping. 230. 14 indexed citations
20.
Lister, Andrew J., Paul P. Mou, Robert H. Jones, & Robert J. Mitchell. (2000). Spatial patterns of soil and vegetation in a 40-year-old slash pine (Pinus elliottii) forest in the Coastal Plain of South Carolina, U.S.A.. Canadian Journal of Forest Research. 30(1). 145–155. 15 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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