K. J. Davis

31.5k total citations · 1 hit paper
260 papers, 11.3k citations indexed

About

K. J. Davis is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, K. J. Davis has authored 260 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 207 papers in Global and Planetary Change, 148 papers in Atmospheric Science and 49 papers in Environmental Engineering. Recurrent topics in K. J. Davis's work include Atmospheric and Environmental Gas Dynamics (169 papers), Atmospheric chemistry and aerosols (70 papers) and Meteorological Phenomena and Simulations (69 papers). K. J. Davis is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (169 papers), Atmospheric chemistry and aerosols (70 papers) and Meteorological Phenomena and Simulations (69 papers). K. J. Davis collaborates with scholars based in United States, France and Tunisia. K. J. Davis's co-authors include Peter S. Bakwin, Thomas Lauvaux, Ankur R. Desai, Chuixiang Yi, Bruce D. Cook, N. L. Miles, Paul V. Bolstad, Steven C. Wofsy, A. E. Andrews and Scott Denning and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Geophysical Research Atmospheres.

In The Last Decade

K. J. Davis

251 papers receiving 10.9k 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.

Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data

2010 496 citations K. J. Davis et al. profile →

Peers

Countries citing papers authored by K. J. Davis

Since Specialization

Citations

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

Fields of papers citing papers by K. J. Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. J. Davis. 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 K. J. Davis. The network helps show where K. J. Davis may publish in the future.

Co-authorship network of co-authors of K. J. Davis

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	The impact of the COVID-19 lockdown on greenhouse gases: a multi-city analysis of in situ atmospheric observations 2022 ·Environmental Research Communications ·(unknown), N. L. Miles, S. Richardson, Jocelyn Turnbull, A. Karion, Jooil Kim, L. Mitchell, John C. Lin, M. Sargent, Steven C. Wofsy, Felix Vogel, K. J. Davis	10
2	Covariation of Airborne Biogenic Tracers (CO ₂ , COS, and CO) Supports Stronger Than Expected Growing Season Photosynthetic Uptake in the Southeastern US 2021 ·Global Biogeochemical Cycles ·Nicholas C. Parazoo, K. W. Bowman, Bianca C. Baier, Junjie Liu, Meemong Lee, Le Kuai, Yoichi P. Shiga, Ian Baker, Mary Whelan, Sha Feng, Maarten Krol, Colm Sweeney, Benjamin R. K. Runkle, (unknown), K. J. Davis	7
3	Quantifying Nitrous Oxide Emissions in the U.S. Midwest: A Top‐Down Study Using High Resolution Airborne In‐Situ Observations 2021 ·Geophysical Research Letters ·Maximilian Eckl, Anke Roiger, Julian Kostinek, Alina Fiehn, Heidi Huntrieser, Christoph Knote, Zachary Barkley, Stephen M. Ogle, Bianca C. Baier, Colm Sweeney, K. J. Davis	10
4	Seasonal Variability in Local Carbon Dioxide Biomass Burning Sources Over Central and Eastern US Using Airborne In Situ Enhancement Ratios 2021 ·Journal of Geophysical Research Atmospheres ·Joshua P. DiGangi, Yonghoon Choi, J. B. Nowak, Hannah S. Halliday, Glenn S. Diskin, Sha Feng, Zachary Barkley, Thomas Lauvaux, Sandip Pal, K. J. Davis, Bianca C. Baier, Colm Sweeney	19
5	Examining CO ₂ Model Observation Residuals Using ACT‐America Data 2021 ·Journal of Geophysical Research Atmospheres ·Tobias Gerken, Sha Feng, Klaus Keller, Thomas Lauvaux, Joshua P. DiGangi, Yonghoon Choi, Bianca C. Baier, K. J. Davis	3
6	Carbon Dioxide Distribution, Origins, and Transport Along a Frontal Boundary During Summer in Mid‐Latitudes 2021 ·Journal of Geophysical Research Atmospheres ·(unknown), Sha Feng, Thomas Lauvaux, Zachary Barkley, Sandip Pal, K. J. Davis	4
7	Cropland Carbon Uptake Delayed and Reduced by 2019 Midwest Floods 2020 ·SHILAP Revista de lepidopterología ·Yi Yin, Brendan Byrne, Junjie Liu, P. O. Wennberg, K. J. Davis, Troy S. Magney, Philipp Köhler, Liyin He, (unknown), Vincent Humphrey, Tobias Gerken, Sha Feng, Joshua P. DiGangi, Christian Frankenberg	46
8	Atmospheric Simulations of Total Column CO2 Mole Fractions from Global to Mesoscale within the Carbon Monitoring System Flux Inversion Framework 2020 ·Atmosphere ·M. P. Butler, Thomas Lauvaux, Sha Feng, Junjie Liu, K. W. Bowman, K. J. Davis	10
9	Background heterogeneity and other uncertainties in estimating urban methane flux: results from the Indianapolis Flux Experiment (INFLUX) 2020 ·Atmospheric chemistry and physics ·Nikolay Balashov, K. J. Davis, N. L. Miles, Thomas Lauvaux, Scott J. Richardson, Zachary Barkley, Timothy A. Bonin	18
10	Policy-Relevant Assessment of Urban CO₂ Emissions 2020 ·Environmental Science & Technology ·Thomas Lauvaux, K. R. Gurney, N. L. Miles, K. J. Davis, Scott J. Richardson, Aijun Deng, (unknown), Tomohiro Oda, Jonathan Wang, Lucy R. Hutyra, Jocelyn Turnbull	72
11	Streamflow Generation From Catchments of Contrasting Lithologies: The Role of Soil Properties, Topography, and Catchment Size 2019 ·Water Resources Research ·(unknown), Yuning Shi, Susan L. Brantley, (unknown), Roman A. DiBiase, K. J. Davis, Li Li	40
12	Background Heterogeneity and Other Uncertainties inEstimating Urban Methane Flux: Results from theIndianapolis Flux (INFLUX) Experiment 2019 ·Nikolay Balashov, K. J. Davis, N. L. Miles, Thomas Lauvaux, Scott J. Richardson, Zachary Barkley, Timothy A. Bonin	2
13	Evaluation of Regional CO₂ Mole Fractions in the ECMWF CAMS Real‐Time Atmospheric Analysis and NOAA CarbonTracker Near‐Real‐Time Reanalysis With Airborne Observations From ACT‐America Field Campaigns 2019 ·Journal of Geophysical Research Atmospheres ·Hans W. Chen, Lily Zhang, Fuqing Zhang, K. J. Davis, Thomas Lauvaux, Sandip Pal, Brian Gaudet, Joshua P. DiGangi	18
14	Calibration and field testing of cavity ring-down laser spectrometers measuring CH ₄ , CO ₂ , and δ ¹³ CH ₄ deployed on towers in the Marcellus Shale region 2018 ·Atmospheric measurement techniques ·N. L. Miles, D. K. Martins, Scott J. Richardson, (unknown), Caleb Arata, Thomas Lauvaux, K. J. Davis, Zachary Barkley, Kathryn McKain, Colm Sweeney	17
15	Calibration of a multi-physics ensemble for greenhouse gas atmospheric transport model uncertainty estimation 2018 ·(unknown), Thomas Lauvaux, Marc Bocquet, K. J. Davis	2
16	Impact of physical parameterizations and initial conditions on simulated atmospheric transport and CO ₂ mole fractions in the US Midwest 2018 ·Atmospheric chemistry and physics ·(unknown), Thomas Lauvaux, K. J. Davis	29
17	Using a spatially-distributed hydrologic biogeochemistry model with nitrogen transport to study the spatial variation of carbon stocks and fluxes in a Critical Zone Observatory 2017 ·AGUFM ·Yuning Shi, David M. Eissenstat, Yun He, K. J. Davis	1
18	Assessment of uncertainties of an aircraft-based mass balance approach for quantifying urban greenhouse gas emissions 2014 ·Atmospheric chemistry and physics ·Maria Obiminda Cambaliza, P. B. Shepson, D. Caulton, Brian H. Stirm, Daniel V. Samarov, K. R. Gurney, Jocelyn Turnbull, K. J. Davis, Antonio Possolo, A. Karion, Colm Sweeney, (unknown), (unknown), Thomas Lauvaux, (unknown), J. R. Whetstone, Jianhua Huang, I. N. Razlivanov, N. L. Miles, S. Richardson	109
19	A near‐field tool for simulating the upstream influence of atmospheric observations: The Stochastic Time‐Inverted Lagrangian Transport (STILT) model 2003 ·Journal of Geophysical Research Atmospheres ·John C. Lin, Christoph Gerbig, Steven C. Wofsy, A. E. Andrews, Bruce C. Daube, K. J. Davis, C. A. Grainger	447
20	The climatic impacts of land surface change and carbon management, and the implications for climate-change mitigation policy 2003 ·Climate Policy ·Gregg Marland, Roger A. Pielke, Mike Apps, Roni Avissar, Richard Betts, K. J. Davis, Peter C. Frumhoff, Stephen T. Jackson, Linda A. Joyce, Pekka E. Kauppi, John Katzenberger, K.G. MacDicken, Ronald P. Neilson, John O. Niles, Dev Niyogi, Richard J. Norby, Naomi Peña, Neil Sampson, Yongkang Xue	144

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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