Scot M. Miller

2.8k citations

56 papers · 1.5k indexed · 1 hit paper · h-index 21

Global and Planetary Change top 2%
- Atmospheric and Environmental Gas Dynamics 48
- Climate variability and models 10
Atmospheric Science top 2%
- Atmospheric chemistry and aerosols 24
- Atmospheric Ozone and Climate 10
- Meteorological Phenomena and Simulations 7
Environmental Chemistry top 5%
- Methane Hydrates and Related Phenomena 6
Environmental Engineering top 5%
Health, Toxicology and Mutagenesis top 10%
- Air Quality and Health Impacts 9
Mechanics of Materials
- Hydrocarbon exploration and reservoir analysis 5

Co-authors: A. M. Michalak A. E. Andrews Steven C. Wofsy Colm Sweeney J. B. Miller E. A. Kort Thomas Nehrkorn Ben Miller
Cited by: Global and Planetary Change Atmospheric Science Environmental Chemistry
Partner nations: United States Canada Germany

In The Last Decade

Scot M. Miller

56 papers receiving 1.5k citations

Hit Papers

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Peers

Countries citing papers authored by Scot M. Miller

Since Specialization

Citations

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

Fields of papers citing papers by Scot M. Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scot M. Miller. 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 Scot M. Miller. The network helps show where Scot M. Miller may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Scot M. Miller, 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 Scot M. Miller Line = papers co-authored together Scot M. Miller links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Airborne observations reveal the fate of the methane from the Nord Stream pipelines Friedemann Reum,Julia Marshall,Henry C. Bittig,Lutz Bretschneider,Göran Broström,Anusha L. Dissanayake,Theo Glauch,Klaus-Dirk Gottschaldt,Jonas Gros,Heidi Huntrieser,Astrid Lampert,Michael Lichtenstern,Scot M. Miller,Martin Mohrmann,Falk Pätzold,Magdalena Pühl,Gregor Rehder,Anke Roiger	2025	1
2	The Orbiting Carbon Observatory-2 (OCO-2) and in situ CO2 data suggest a larger seasonal amplitude of the terrestrial carbon cycle compared to many dynamic global vegetation models Ruixue Lei,Jeralyn Poe,D. N. Huntzinger,Junjie Liu,Stephen Stich,D. F. Baker,Leyang Feng,Dylan C. Gaeta,Ziting Huang,Scot M. Miller	2024	1
3	The reduced net carbon uptake over Northern Hemisphere land causes the close-to-normal CO ₂ growth rate in 2021 La Niña Junjie Liu,David B. Baker,Sourish Basu,K. W. Bowman,Brendan Byrne,Frédéric Chevallier,Wei He,Fei Jiang,Matthew S. Johnson,T. L. Kubar,Xing Li,Zhiqiang Liu,Scot M. Miller,Sajeev Philip,Jingfeng Xiao,Jeongmin Yun,Ning Zeng	2024	5
4	Solar‐Induced Fluorescence Helps Constrain Global Patterns in Net Biosphere Exchange, as Estimated Using Atmospheric CO₂ Observations Mingyang Zhang,Joseph A. Berry,Yoichi P. Shiga,Russell Doughty,Nima Madani,Xing Li,Jingfeng Xiao,Jiaming Wen,Ying Sun,Scot M. Miller	2023	3
5	Anomalous Net Biome Exchange Over Amazonian Rainforests Induced by the 2015/16 El Niño: Soil Dryness‐Shaped Spatial Pattern but Temperature‐dominated Total Flux Jun Wang,Ning Zeng,Meirong Wang,Fei Jiang,Frédéric Chevallier,Sean Crowell,Wei He,Matthew S. Johnson,Junjie Liu,Zhiqiang Liu,Scot M. Miller,Sajeev Philip,Hengmao Wang,Mousong Wu,Weimin Ju,Shuzhuang Feng,Mengwei Jia	2023	4
6	Critical Role of Irrigation Efficiency for Cropland Expansion in Western China Arid Agroecosystems Jianyu Fu,Weiguang Wang,Benjamin F. Zaitchik,Wanshu Nie,Esther Xu Fei,Scot M. Miller,C. J. Harman	2022	29
7	Computationally efficient methods for large-scale atmospheric inverse modeling Taewon Cho,Julianne Chung,Scot M. Miller,Arvind K. Saibaba	2022	7
8	Improvements in XCO2 accuracy from OCO-2 with the latest ACOS v10 product C. O’Dell,A. Eldering,M. R. Gunson,David Crisp,B. Fisher,Matthäus Kiel,Le Kuai,Josh Laughner,Aronne Merrelli,Robert Nelson,G. B. Osterman,Vivienne H. Payne,Robert Rosenberg,Thomas E. Taylor,P. O. Wennberg,S. S. Kulawik,Hannakaisa Lindqvist,Scot M. Miller,Ray Nassar	2021	4
9	Analysis of Oil and Gas Ethane and Methane Emissions in the Southcentral and Eastern United States Using Four Seasons of Continuous Aircraft Ethane Measurements Zachary Barkley,K. J. Davis,Sha Feng,Yu Yan Cui,Alan Fried,P. Weibring,Dirk Richter,J. Walega,Scot M. Miller,Maximilian Eckl,Anke Roiger,Alina Fiehn,Julian Kostinek	2021	24
10	Data reduction for inverse modeling: an adaptive approach v1.0 Xiaoling Liu,August L. Weinbren,He Chang,Jovan M. Tadić,Marikate Mountain,M. Trudeau,A. E. Andrews,Zichong Chen,Scot M. Miller	2021	6
11	Jet Stream‐Surface Tracer Relationships: Mechanism and Sensitivity to Source Region Gaige Hunter Kerr,Darryn W. Waugh,Scot M. Miller	2020	2
12	Geostatistical inverse modeling with very large datasets: an example from the Orbiting Carbon Observatory 2 (OCO-2) satellite Scot M. Miller,Arvind K. Saibaba,M. Trudeau,Marikate Mountain,A. E. Andrews	2020	21
13	The impact of improved satellite retrievals on estimates of biospheric carbon balance Scot M. Miller,A. M. Michalak	2020	19
14	Informing urban climate planning with high resolution data: the Hestia fossil fuel CO2 emissions for Baltimore, Maryland Geoffrey Roest,K. R. Gurney,Scot M. Miller,Jianming Liang	2020	13
15	Geostatistical inverse modeling with very large datasets: an example from the OCO-2 satellite Scot M. Miller,Arvind K. Saibaba,M. Trudeau,Marikate Mountain,A. E. Andrews	2019	1
16	Nitrous Oxide Emissions Estimated With the CarbonTracker‐Lagrange North American Regional Inversion Framework C. D. Nevison,A. E. Andrews,K. W. Thoning,E. J. Dlugokencky,Colm Sweeney,Scot M. Miller,Eri Saikawa,Joshua Benmergui,M. L. Fischer,Marikate Mountain,Thomas Nehrkorn	2018	21
17	Characterizing biospheric carbon balance using CO ₂ observations from the OCO-2 satellite Scot M. Miller,A. M. Michalak,Vineet Yadav,Jovan M. Tadić	2018	27
18	Atmospheric inverse modeling via sparse reconstruction Nils Hase,Scot M. Miller,Peter Maaß,Justus Notholt,Mathias Palm,Thorsten Warneke	2017	6
19	Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling Scot M. Miller,R. Commane,Joe R. Melton,A. E. Andrews,Joshua Benmergui,Edward J. Dlugokencky,Greet Janssens‐Maenhout,A. M. Michalak,Colm Sweeney,Doug Worthy	2016	22
20	Biases in atmospheric CO ₂ estimates from correlated meteorology modeling errors Scot M. Miller,Matthew Hayek,A. E. Andrews,Inez Fung,Junjie Liu	2015	21

About Scot M. Miller

Scot M. Miller is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Atmospheric and Environmental Gas Dynamics (48 papers), Atmospheric chemistry and aerosols (24 papers), Atmospheric Ozone and Climate (10 papers), Climate variability and models (10 papers), Air Quality and Health Impacts (9 papers), Meteorological Phenomena and Simulations (7 papers), Methane Hydrates and Related Phenomena (6 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Global and Planetary Change (1.1k citations), Atmospheric Science (851 citations) and Environmental Chemistry (144 citations). Scot M. Miller has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include A. M. Michalak, A. E. Andrews, Steven C. Wofsy, Colm Sweeney, J. B. Miller, E. A. Kort, Thomas Nehrkorn, Ben Miller, S. A. Montzka and Edward J. Dlugokencky.

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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