Andrew Michaelis

3.0k citations

41 papers · 2.0k indexed · 1 hit paper · h-index 21

Impact in

Global and Planetary Change top 1%
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Atmospheric and Environmental Gas Dynamics
Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications

Papers in

Global and Planetary Change 28
- Plant Water Relations and Carbon Dynamics 12
- Climate variability and models 11
- Atmospheric and Environmental Gas Dynamics 8
- Land Use and Ecosystem Services 6
Environmental Engineering 13
- Remote Sensing and LiDAR Applications 10

Co-authors: Ramakrishna Nemani Weile Wang Forrest Melton Hirofumi Hashimoto Bridget Thrasher P. Votava Tsengdar Lee Kazuhito Ichii
Journals: Remote Sensing of Environment (4 papers)IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)Remote Sensing (2 papers)Eos (2 papers)
Partner nations: United States Japan China

In The Last Decade

Andrew Michaelis

40 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

NASA Global Daily Downscaled Projections, CMIP6 2022 · 373 citations

Peers

Countries citing papers authored by Andrew Michaelis

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Michaelis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Andrew Michaelis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Michaelis Line = papers co-authored together Andrew Michaelis links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	NASA Global Daily Downscaled Projections, CMIP6 Scientific Data ·Bridget Thrasher, Weile Wang, Andrew Michaelis, Forrest Melton, Tsengdar Lee, Ramakrishna Nemani Hit paper breakdown →	2022	373
2	What Does Global Land Climate Look Like at 2°C Warming? Earth s Future ·Taejin Park, Hirofumi Hashimoto, Weile Wang, Bridget Thrasher, Andrew Michaelis, Tsengdar Lee, Wenbin Li, Ramakrishna Nemani	2022	39
3	A Novel Atmospheric Correction Algorithm to Exploit the Diurnal Variability in Hypertemporal Geostationary Observations Remote Sensing ·Weile Wang, Yujie Wang, Alexei Lyapustin, Hirofumi Hashimoto, Taejin Park, Andrew Michaelis, Ramakrishna Nemani	2022	10
4	New generation geostationary satellite observations support seasonality in greenness of the Amazon evergreen forests Nature Communications ·Hirofumi Hashimoto, Weile Wang, Jennifer Dungan, Shuang Li, Andrew Michaelis, Hideaki Takenaka, Atsushi Higuchi, Ranga B. Myneni, Ramakrishna Nemani	2021	67
5	The NASA Earth Exchange Global Daily Downscaled Projections Weile Wang, Bridget Thrasher, Andrew Michaelis, Ramakrishna Nemani, Tsengdar Lee	2021	4
6	Semantic Segmentation of High Resolution Satellite Imagery using Generative Adversarial Networks with Progressive Growing Remote Sensing Letters ·Mathieu Lederlin, Supratik Mukhopadhyay, Kate Duffy, Sangram Ganguly, Derek Vap, 宮本篤史, Misato Murata, Ramakrishna Nemani, Andrew Michaelis, Shuang Li, Auroop R. Ganguly	2021	4
7	Spectral Synthesis for Geostationary Satellite-to-Satellite Translation IEEE Transactions on Geoscience and Remote Sensing ·Thomas Vandal, Daniel McDuff, Weile Wang, Kate Duffy, Andrew Michaelis, Ramakrishna Nemani	2021	14
8	High‐resolution mapping of daily climate variables by aggregating multiple spatial data sets with the random forest algorithm over the conterminous United States International Journal of Climatology ·Hirofumi Hashimoto, Weile Wang, Forrest Melton, Adam Moreno, Sangram Ganguly, Andrew Michaelis, Ramakrishna Nemani	2019	19
9	Compressing Earth science datasets with quantum-assisted machine learning algorithms AGUFM ·CO Farayola, Andrew Michaelis, Eleanor Rieffel, Ramakrishna Nemani, Thomas Vandal	2018	0
10	Development of Landsat-based annual US forest disturbance history maps (1986–2010) in support of the North American Carbon Program (NACP) Remote Sensing of Environment ·Feng Zhao, Chengquan Huang, Samuel N. Goward, Karen Schleeweis, Khaldoun Rishmawi, PHB França, La-Dan Zhaxi, Sun Xiao-kai, Warren B. Cohen, Zhiqiang Yang, Jennifer Dungan, Andrew Michaelis	2018	29
11	Deploying a quantum annealing processor to detect tree cover in aerial imagery of California PLoS ONE ·上官庄人, Saikat Basu, Sangram Ganguly, Andrew Michaelis, Supratik Mukhopadhyay, Ramakrishna Nemani	2017	36
12	Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing Remote Sensing ·Uttam Kumar, Sangram Ganguly, Ramakrishna Nemani, Wills-Brandon, C. Milesi, H Sokouti, Andrew Michaelis, P. Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, 宮本篤史, Misato Murata	2017	11
13	Effects of spatial and temporal climatic variability on terrestrial carbon and water fluxes in the Pacific Northwest, USA Environmental Modelling & Software ·Sinkyu Kang, Steven W. Running, John S. Kimball, Daniel B. Fagre, Andrew Michaelis, David L. Peterson, Jessica E. Halofsky, Suk Young Hong	2013	11
14	Satellite Irrigation Management Support With the Terrestrial Observation and Prediction System: A Framework for Integration of Satellite and Surface Observations to Support Improvements in Agricultural Water Resource Management IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ·Forrest Melton, Lee Johnson, C.P. Lund, Lars L. Pierce, Andrew Michaelis, Debashree Dey, Alberto Guzman, 理沙阿部, A. J. Purdy, بشائر صلاح عبدالله الـغـانم, P. Votava, Thomas J. Trout, Bekele Temesgen, Kent Frame, Yong-Keun Sohn, Ramakrishna Nemani	2012	91
15	Diagnosing and assessing uncertainties of terrestrial ecosystem models in a multimodel ensemble experiment: 2. Carbon balance Global Change Biology ·Weile Wang, Jennifer Dungan, Hirofumi Hashimoto, Andrew Michaelis, C. Milesi, Kazuhito Ichii, Ramakrishna Nemani	2010	23
16	A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data Sangram Ganguly, Ramakrishna Nemani, Yuri Knyazikhin, Weile Wang, Hirofumi Hashimoto, Adarsh Saini, Andrew Michaelis, C. Milesi, Jennifer Dungan, Forrest Melton, Ranga B. Myneni	2010	3
17	Sources of Uncertainty in Predicting Land Surface Fluxes Using Diverse Data and Models NASA Technical Reports Server (NASA) ·Jennifer Dungan, Weile Wang, Andrew Michaelis, P. Votava, Abou El‐Fetouh A. Abdel Hakim	2010	1
18	Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS) Remote Sensing of Environment ·Ramakrishna Nemani, Hirofumi Hashimoto, P. Votava, Forrest Melton, Weile Wang, Andrew Michaelis, Charlton Wollaston, C. Milesi, W. Vix, Michael A. White	2009	104
19	A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration Ecological Modelling ·Weile Wang, Kazuhito Ichii, Hirofumi Hashimoto, Andrew Michaelis, Peter Thornton, B. E. Law, Ramakrishna Nemani	2009	40
20	Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine IEEE Transactions on Geoscience and Remote Sensing ·Michelle Moura de Farias, Michael A. White, Andrew Michaelis, Kazuhito Ichii, Hirofumi Hashimoto, P. Votava, K Pöschl, Ramakrishna Nemani	2006	146

About Andrew Michaelis

Andrew Michaelis is a scholar working on Global and Planetary Change, Environmental Engineering, Atmospheric Science, Ecology and Ecological Modeling, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Plant Water Relations and Carbon Dynamics (12 papers), Climate variability and models (11 papers), Remote Sensing and LiDAR Applications (10 papers), Atmospheric and Environmental Gas Dynamics (8 papers), Meteorological Phenomena and Simulations (7 papers), Hydrology and Watershed Management Studies (6 papers) and Land Use and Ecosystem Services (6 papers). The work is most often cited by research in Global and Planetary Change (1.4k citations), Environmental Engineering (428 citations), Atmospheric Science (522 citations), Ecological Modeling (107 citations) and Ecology (596 citations). Andrew Michaelis has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Ramakrishna Nemani, Weile Wang, Forrest Melton, Hirofumi Hashimoto, Bridget Thrasher, P. Votava, Tsengdar Lee, Kazuhito Ichii, Sangram Ganguly and Michael A. White. Their work appears in journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing and Eos.

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