Nancy Thomas

2.5k total citations · 2 hit papers
13 papers, 2.0k citations indexed

About

Nancy Thomas is a scholar working on Global and Planetary Change, Ecology and Environmental Engineering. According to data from OpenAlex, Nancy Thomas has authored 13 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Nancy Thomas's work include Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (5 papers). Nancy Thomas is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Land Use and Ecosystem Services (6 papers) and Remote Sensing and LiDAR Applications (5 papers). Nancy Thomas collaborates with scholars based in United States, Colombia and Belgium. Nancy Thomas's co-authors include Samuel N. Goward, Chengquan Huang, Jeffrey G. Masek, Zhiliang Zhu, James E. Vogelmann, Russell G. Congalton, Éric F. Lambin, Seema Jayachandran, Robin Audy and Charlotte Stanton and has published in prestigious journals such as Science, Remote Sensing of Environment and International Journal of Remote Sensing.

In The Last Decade

Nancy Thomas

12 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

2009 750 citations Chengquan Huang, Samuel N. Goward et al. Remote Sensing of Environment profile →
Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation

2017 325 citations Seema Jayachandran, Joost de Laat et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nancy Thomas United States	11	1.3k	1.1k	615	302	288	13	2.0k
Dario Simonetti Italy	22	1.0k 0.8×	936 0.8×	343 0.6×	157 0.5×	258 0.9×	43	1.7k
Fred Stolle United States	17	1.2k 1.0×	933 0.8×	512 0.8×	252 0.8×	151 0.5×	44	1.9k
Miroslav Honzák United States	21	1.3k 1.0×	834 0.7×	505 0.8×	131 0.4×	167 0.6×	30	2.1k
David Saah United States	24	1.1k 0.9×	689 0.6×	666 1.1×	231 0.8×	109 0.4×	72	2.0k
Mateus Batistella Brazil	33	1.5k 1.2×	1.5k 1.4×	1.0k 1.7×	329 1.1×	445 1.5×	82	3.2k
Simon N. Trigg United States	14	1.9k 1.5×	1.6k 1.4×	385 0.6×	227 0.8×	67 0.2×	19	2.5k
Fengsong Pei China	17	3.0k 2.3×	1.1k 0.9×	735 1.2×	613 2.0×	132 0.5×	25	3.5k
Emily H. Wilson United States	7	992 0.8×	754 0.7×	475 0.8×	308 1.0×	179 0.6×	9	1.5k
N. Laporte United States	11	1.2k 1.0×	879 0.8×	841 1.4×	161 0.5×	75 0.3×	16	2.1k

Countries citing papers authored by Nancy Thomas

Since Specialization

Citations

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

Fields of papers citing papers by Nancy Thomas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy Thomas

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

All Works

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13 of 13 papers shown

Jayachandran, Seema, Joost de Laat, Éric F. Lambin, et al.. (2017). Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation. Science. 357(6348). 267–273. 325 indexed citations breakdown →

Rueda, Ximena, Nancy Thomas, & Éric F. Lambin. (2014). Eco-certification and coffee cultivation enhance tree cover and forest connectivity in the Colombian coffee landscapes. Regional Environmental Change. 15(1). 25–33. 62 indexed citations

Sibley, Adam, Patricio Grassini, Nancy Thomas, Kenneth G. Cassman, & David B. Lobell. (2013). Testing Remote Sensing Approaches for Assessing Yield Variability among Maize Fields. Agronomy Journal. 106(1). 24–32. 85 indexed citations

Schleeweis, Karen, Samuel N. Goward, Chengquan Huang, et al.. (2013). Regional dynamics of forest canopy change and underlying causal processes in the contiguous U.S.. Journal of Geophysical Research Biogeosciences. 118(3). 1035–1053. 13 indexed citations

Goward, Samuel N., Gyanesh Chander, Mary Pagnutti, et al.. (2012). Complementarity of ResourceSat-1 AWiFS and Landsat TM/ETM+ sensors. Remote Sensing of Environment. 123. 41–56. 21 indexed citations

Thomas, Nancy, Chengquan Huang, Samuel N. Goward, et al.. (2010). Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks. Remote Sensing of Environment. 115(1). 19–32. 100 indexed citations

Huang, Chengquan, Nancy Thomas, Samuel N. Goward, et al.. (2010). Automated masking of cloud and cloud shadow for forest change analysis using Landsat images. International Journal of Remote Sensing. 31(20). 5449–5464. 149 indexed citations

Huang, Chengquan, Samuel N. Goward, Jeffrey G. Masek, et al.. (2009). Development of time series stacks of Landsat images for reconstructing forest disturbance history. International Journal of Digital Earth. 2(3). 195–218. 110 indexed citations

Huang, Chengquan, Samuel N. Goward, Karen Schleeweis, et al.. (2009). Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States. Remote Sensing of Environment. 113(7). 1430–1442. 142 indexed citations

10.

Huang, Chengquan, Samuel N. Goward, Jeffrey G. Masek, et al.. (2009). An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sensing of Environment. 114(1). 183–198. 750 indexed citations breakdown →

11.

Nelson, Mark D., Sean P. Healey, W. Keith Moser, et al.. (2009). Analyzing Landsat time-series data across adjacent path/rows and across multiple cycles of FIA: Lessons learned in southern Missouri. 56.

12.

Cohen, Warren B., Sean P. Healey, Samuel N. Goward, et al.. (2007). Use of Landsat-based monitoring of forest change to sample and assess the role of disturbance and regrowth in the carbon cycle at continental scales. 14–19. 2 indexed citations

13.

Thomas, Nancy, et al.. (2003). A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery. Photogrammetric Engineering & Remote Sensing. 69(9). 963–972. 229 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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