Nicholas Clinton

12.5k total citations · 6 hit papers
64 papers, 5.5k citations indexed

About

Nicholas Clinton is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Nicholas Clinton has authored 64 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Ecology, 37 papers in Global and Planetary Change and 22 papers in Environmental Engineering. Recurrent topics in Nicholas Clinton's work include Remote Sensing in Agriculture (26 papers), Land Use and Ecosystem Services (20 papers) and Remote Sensing and LiDAR Applications (10 papers). Nicholas Clinton is often cited by papers focused on Remote Sensing in Agriculture (26 papers), Land Use and Ecosystem Services (20 papers) and Remote Sensing and LiDAR Applications (10 papers). Nicholas Clinton collaborates with scholars based in United States, China and Spain. Nicholas Clinton's co-authors include Peng Gong, Michael DeWitt, Le Yu, Jie Wang, Renata Ferrari, Richard A. Fuller, Stuart Phinn, Mitchell Lyons, Nicholas Murray and David Thau and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nicholas Clinton

61 papers receiving 5.4k citations

Hit Papers

align trajectories sort by overperformance

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.

The global distribution and trajectory of tidal flats

2018 711 citations Nicholas Murray, Stuart Phinn et al. Nature profile →
MODIS detected surface urban heat islands and sinks: Global locations and controls

2013 417 citations Nicholas Clinton, Peng Gong Remote Sensing of Environment profile →
Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

2017 357 citations Huabing Huang, Nicholas Clinton et al. Remote Sensing of Environment profile →
A mangrove forest map of China in 2015: Analysis of time series Landsat 7/8 and Sentinel-1A imagery in Google Earth Engine cloud computing platform

2017 344 citations Nicholas Clinton et al. profile →
Annual dynamics of global land cover and its long-term changes from 1982 to 2015

2020 265 citations Han Liu, Peng Gong et al. Earth system science data profile →
Globally consistent assessment of coastal eutrophication

2021 137 citations Joji Ishizaka, Nicholas Clinton et al. Nature Communications profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nicholas Clinton	3.1k	2.7k	1.7k	1.1k	613	64	5.5k
Jay Gao	3.0k 1.0×	2.4k 0.9×	2.0k 1.2×	1.6k 1.4×	772 1.3×	141	6.8k
Heiko Balzter	3.1k 1.0×	2.5k 0.9×	2.8k 1.7×	1.1k 1.0×	501 0.8×	182	6.4k
Annemarie Schneider	4.5k 1.5×	2.2k 0.8×	1.9k 1.1×	1.7k 1.5×	831 1.4×	24	6.3k
Bin Zhao	2.7k 0.9×	3.4k 1.3×	1.2k 0.7×	849 0.8×	432 0.7×	143	5.9k
Zhihao Qin	2.8k 0.9×	2.0k 0.7×	3.2k 1.9×	2.2k 2.0×	724 1.2×	152	6.1k
V. K. Dadhwal	4.0k 1.3×	2.7k 1.0×	1.9k 1.1×	1.7k 1.5×	266 0.4×	341	7.5k
Xin Cao	3.1k 1.0×	1.9k 0.7×	2.0k 1.2×	1.1k 1.0×	985 1.6×	135	5.5k
Zongming Wang	4.3k 1.4×	4.8k 1.8×	1.9k 1.1×	1.1k 1.0×	268 0.4×	286	8.6k
Aqil Tariq	2.7k 0.9×	1.5k 0.6×	1.8k 1.1×	1.2k 1.0×	343 0.6×	229	5.6k
Dehua Mao	3.5k 1.1×	3.5k 1.3×	809 0.5×	824 0.7×	233 0.4×	137	5.8k

Countries citing papers authored by Nicholas Clinton

Since Specialization

Citations

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

Fields of papers citing papers by Nicholas Clinton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Clinton

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Clinton. A scholar is included among the top collaborators of Nicholas Clinton 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 Nicholas Clinton. Nicholas Clinton 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

Neumann, Maxim, Mickael Rey, Michelle Sims, et al.. (2025). Natural forests of the world – a 2020 baseline for deforestation and degradation monitoring. Scientific Data. 12(1). 1715–1715. 1 indexed citations

Izquierdo‐Verdiguier, Emma, Álvaro Moreno‐Martínez, Marco Maneta, et al.. (2024). Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series. International Journal of Digital Earth. 17(1). 3 indexed citations

Zhu, Eric Y., et al.. (2023). EEAGER: A Neural Network Model for Finding Beaver Complexes in Satellite and Aerial Imagery. Journal of Geophysical Research Biogeosciences. 128(6). 7 indexed citations

Hoogh, Kees de, Oliver Schmitz, Nicholas Clinton, et al.. (2022). Europe-wide air pollution modeling from 2000 to 2019 using geographically weighted regression. Environment International. 168. 107485–107485. 54 indexed citations

Wang, Chao, Tamlin M. Pavelsky, Fangfang Yao, et al.. (2022). Flood Extent Mapping During Hurricane Florence With Repeat‐Pass L‐Band UAVSAR Images. Water Resources Research. 58(3). 8 indexed citations

Murray, Nicholas, Stuart Phinn, Richard A. Fuller, et al.. (2022). High-resolution global maps of tidal flat ecosystems from 1984 to 2019. Scientific Data. 9(1). 542–542. 25 indexed citations

New, Joshua, et al.. (2022). How close are urban scale building simulations to measured data? Examining bias derived from building metadata in urban building energy modeling. Applied Energy. 327. 120049–120049. 18 indexed citations

Stuhlmacher, Michelle, Matei Georgescu, B. L. Turner, et al.. (2022). Are global cities homogenizing? An assessment of urban form and heat island implications. Cities. 126. 103705–103705. 43 indexed citations

Ishizaka, Joji, et al.. (2021). Globally consistent assessment of coastal eutrophication. Nature Communications. 12(1). 6142–6142. 137 indexed citations breakdown →

10.

Liu, Han, Peng Gong, Jie Wang, et al.. (2020). Annual dynamics of global land cover and its long-term changes from 1982 to 2015. Earth system science data. 12(2). 1217–1243. 265 indexed citations breakdown →

11.

Moreno‐Martínez, Álvaro, Emma Izquierdo‐Verdiguier, Marco Maneta, et al.. (2020). Multispectral high resolution sensor fusion for smoothing and gap-filling in the cloud. Remote Sensing of Environment. 247. 111901–111901. 99 indexed citations

12.

Markert, Kel, Amanda Markert, Timothy Mayer, et al.. (2020). Comparing Sentinel-1 Surface Water Mapping Algorithms and Radiometric Terrain Correction Processing in Southeast Asia Utilizing Google Earth Engine. Remote Sensing. 12(15). 2469–2469. 89 indexed citations

13.

Wu, Qiusheng, Charles R. Lane, Xuecao Li, et al.. (2019). Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine. Remote Sensing of Environment. 228. 1–13. 128 indexed citations

14.

Clinton, Nicholas, et al.. (2019). Extensive vegetation browning and drying in forests of India’s Tiger Reserves. Scientific Reports. 9(1). 14976–14976. 9 indexed citations

15.

Murray, Nicholas, Stuart Phinn, Michael DeWitt, et al.. (2018). The global distribution and trajectory of tidal flats. Nature. 565(7738). 222–225. 711 indexed citations breakdown →

16.

Kroodsma, David A., Matthew F. Wasson, Matthew Ross, et al.. (2018). Mapping the yearly extent of surface coal mining in Central Appalachia using Landsat and Google Earth Engine. PLoS ONE. 13(7). e0197758–e0197758. 90 indexed citations

17.

Li, Congcong, Jie Wang, Luanyun Hu, et al.. (2014). A Circa 2010 Thirty Meter Resolution Forest Map for China. Remote Sensing. 6(6). 5325–5343. 48 indexed citations

18.

Clinton, Nicholas & Peng Gong. (2013). MODIS detected surface urban heat islands and sinks: Global locations and controls. Remote Sensing of Environment. 134. 294–304. 417 indexed citations breakdown →

19.

Zhang, Wuming, et al.. (2009). Image-based 3D corn reconstruction for retrieval of geometrical structural parameters. International Journal of Remote Sensing. 30(20). 5505–5513. 22 indexed citations

20.

Clinton, Nicholas, J.M. Scarborough, Yong Q. Tian, & Peng Gong. (2002). A GIS Based Emissions Estimation System For Wildfire And Prescribed Burning. 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.

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