Adam Chlus

1.2k total citations
20 papers, 766 citations indexed

About

Adam Chlus is a scholar working on Ecology, Global and Planetary Change and Oceanography. According to data from OpenAlex, Adam Chlus has authored 20 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 9 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Adam Chlus's work include Remote Sensing in Agriculture (8 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Adam Chlus is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). Adam Chlus collaborates with scholars based in United States, China and Israel. Adam Chlus's co-authors include Philip A. Townsend, Heidi M. Dierssen, Brandon Russell, Eric L. Kruger, John J. Couture, Zhihui Wang, Aditya Singh, Jeannine Cavender‐Bares, Ting Zheng and Ittai Herrmann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Remote Sensing of Environment and New Phytologist.

In The Last Decade

Adam Chlus

17 papers receiving 750 citations

Peers

Adam Chlus
Rakhesh Devadas Australia
A. Held Australia
Hamed Gholizadeh United States
T. Demetriades-Shah United States
Pablo Rosso Germany
A. A. Gitelson United States
Eric Ariel L. Salas United States
Luke A. Brown United Kingdom
Chaichoke Vaiphasa Thailand
Rakhesh Devadas Australia
Adam Chlus
Citations per year, relative to Adam Chlus Adam Chlus (= 1×) peers Rakhesh Devadas

Countries citing papers authored by Adam Chlus

Since Specialization
Citations

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

Fields of papers citing papers by Adam Chlus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Chlus

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Chlus. A scholar is included among the top collaborators of Adam Chlus 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 Adam Chlus. Adam Chlus 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.
Eastwood, Michael L., David R. Thompson, Adam R. Brandt, et al.. (2025). Direct measurement of plume velocity to characterize point source emissions. Proceedings of the National Academy of Sciences. 122(36). e2507350122–e2507350122. 1 indexed citations
2.
Lee, Christine, Adam Chlus, Hans‐Peter Marshall, et al.. (2024). Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using K-Means Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 8594–8605. 1 indexed citations
3.
Bernas, Michael, Philip G. Brodrick, J. Chapman, et al.. (2024). AVIRIS-3: Next-Generation Imaging Spectroscopy Calibration and First Results. 289–291.
4.
Wang, Zhihui, Jean‐Baptiste Féret, Nanfeng Liu, et al.. (2023). Generality of leaf spectroscopic models for predicting key foliar functional traits across continents: A comparison between physically- and empirically-based approaches. Remote Sensing of Environment. 293. 113614–113614. 27 indexed citations
5.
Raiho, Ann, Kerry Cawse‐Nicholson, Adam Chlus, et al.. (2023). Exploring Mission Design for Imaging Spectroscopy Retrievals for Land and Aquatic Ecosystems. Journal of Geophysical Research Biogeosciences. 128(4). 5 indexed citations
6.
Zheng, Ting, et al.. (2022). FlexBRDF: A Flexible BRDF Correction for Grouped Processing of Airborne Imaging Spectroscopy Flightlines. Journal of Geophysical Research Biogeosciences. 127(1). e2021JG006622–e2021JG006622. 24 indexed citations
7.
Raiho, Ann, Kerry Cawse‐Nicholson, Adam Chlus, et al.. (2022). Exploring mission design for imaging spectroscopy retrievals for land and aquatic ecosystems. 4 indexed citations
8.
Thompson, David R., Daniel Jensen, Philip A. Townsend, et al.. (2022). An Improved Scheme for Correcting Remote Spectral Surface Reflectance Simultaneously for Terrestrial BRDF and Water‐Surface Sunglint in Coastal Environments. Journal of Geophysical Research Biogeosciences. 127(3). 14 indexed citations
9.
Chlus, Adam & Philip A. Townsend. (2022). Characterizing seasonal variation in foliar biochemistry with airborne imaging spectroscopy. Remote Sensing of Environment. 275. 113023–113023. 31 indexed citations
10.
Wang, Zhihui, Adam Chlus, Ting Zheng, et al.. (2020). Foliar functional traits from imaging spectroscopy across biomes in eastern North America. New Phytologist. 228(2). 494–511. 132 indexed citations
11.
Meireles, José Eduardo, Jeannine Cavender‐Bares, Philip A. Townsend, et al.. (2020). Leaf reflectance spectra capture the evolutionary history of seed plants. New Phytologist. 228(2). 485–493. 80 indexed citations
12.
Chlus, Adam, Eric L. Kruger, & Philip A. Townsend. (2020). Mapping three-dimensional variation in leaf mass per area with imaging spectroscopy and lidar in a temperate broadleaf forest. Remote Sensing of Environment. 250. 112043–112043. 20 indexed citations
13.
Gold, Kaitlin M., Philip A. Townsend, Adam Chlus, et al.. (2020). Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato. Remote Sensing. 12(2). 286–286. 109 indexed citations
14.
Serbin, Shawn, Jin Wu, Kim Ely, et al.. (2019). From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance. New Phytologist. 224(4). 1557–1568. 104 indexed citations
15.
Chlus, Adam, et al.. (2019). HyToolsPro: An Open Source Package for Pre-processing Airborne Hyperspectral Images. AGU Fall Meeting Abstracts. 2019. 2 indexed citations
16.
Chlus, Adam, Aditya Singh, Eric L. Kruger, & Philip A. Townsend. (2019). Patterns and Drivers of Interannual Variation in Canopy Biochemistry: an Analysis of the 27-year Record of Imaging Spectroscopy Data Over Blackhawk Island, WI (1992-2019). AGU Fall Meeting Abstracts. 2019.
17.
Dierssen, Heidi M., et al.. (2019). Pushing the Limits of Seagrass Remote Sensing in the Turbid Waters of Elkhorn Slough, California. Remote Sensing. 11(14). 1664–1664. 19 indexed citations
18.
Khan, Alia L., Heidi M. Dierssen, Joshua P. Schwarz, et al.. (2017). Impacts of coal dust from an active mine on the spectral reflectance of Arctic surface snow in Svalbard, Norway. Journal of Geophysical Research Atmospheres. 122(3). 1767–1778. 26 indexed citations
19.
Dierssen, Heidi M., George B. McManus, Adam Chlus, et al.. (2015). Space station image captures a red tide ciliate bloom at high spectral and spatial resolution. Proceedings of the National Academy of Sciences. 112(48). 14783–14787. 46 indexed citations
20.
Dierssen, Heidi M., Adam Chlus, & Brandon Russell. (2015). Hyperspectral discrimination of floating mats of seagrass wrack and the macroalgae Sargassum in coastal waters of Greater Florida Bay using airborne remote sensing. Remote Sensing of Environment. 167. 247–258. 121 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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