D. F. Baker

9.7k total citations
60 papers, 2.3k citations indexed

About

D. F. Baker is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, D. F. Baker has authored 60 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Global and Planetary Change, 42 papers in Atmospheric Science and 6 papers in Oceanography. Recurrent topics in D. F. Baker's work include Atmospheric and Environmental Gas Dynamics (50 papers), Atmospheric Ozone and Climate (31 papers) and Atmospheric chemistry and aerosols (23 papers). D. F. Baker is often cited by papers focused on Atmospheric and Environmental Gas Dynamics (50 papers), Atmospheric Ozone and Climate (31 papers) and Atmospheric chemistry and aerosols (23 papers). D. F. Baker collaborates with scholars based in United States, France and Canada. D. F. Baker's co-authors include Scott Denning, Scott C. Doney, Philippe Peylin, P. J. Rayner, K. R. Gurney, David Schimel, Frédéric Chevallier, Philippe Ciais, Philippe Bousquet and David Crisp and has published in prestigious journals such as Nature Communications, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

D. F. Baker

56 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. F. Baker United States 19 2.1k 1.5k 230 132 128 60 2.3k
Dinand Schepers Netherlands 12 1.2k 0.6× 1.1k 0.7× 157 0.7× 60 0.5× 46 0.4× 17 1.5k
Maximilian Reuter Germany 29 2.3k 1.1× 1.9k 1.3× 52 0.2× 185 1.4× 134 1.0× 75 2.5k
G. Keppel‐Aleks United States 21 1.7k 0.8× 1.4k 0.9× 41 0.2× 86 0.7× 88 0.7× 44 1.9k
Misa Ishizawa Japan 17 1.3k 0.6× 897 0.6× 88 0.4× 76 0.6× 31 0.2× 33 1.5k
Ute Karstens Germany 23 1.5k 0.7× 1.2k 0.8× 99 0.4× 43 0.3× 36 0.3× 62 1.7k
Lesley Ott United States 24 1.7k 0.8× 1.5k 1.0× 87 0.4× 67 0.5× 23 0.2× 85 2.2k
Daren Lü China 22 1.2k 0.6× 1.3k 0.8× 107 0.5× 14 0.1× 93 0.7× 99 1.7k
Cyril Crévoisier France 24 1.5k 0.7× 1.2k 0.8× 87 0.4× 47 0.4× 13 0.1× 55 1.6k
Jošt V. Lavrič Germany 19 694 0.3× 735 0.5× 63 0.3× 47 0.4× 25 0.2× 53 1.1k
Eliza S. Bradley United States 12 495 0.2× 183 0.1× 301 1.3× 57 0.4× 53 0.4× 20 921

Countries citing papers authored by D. F. Baker

Since Specialization
Citations

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

Fields of papers citing papers by D. F. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. F. Baker. 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 D. F. Baker. The network helps show where D. F. Baker may publish in the future.

Co-authorship network of co-authors of D. F. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of D. F. Baker. A scholar is included among the top collaborators of D. F. Baker 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 D. F. Baker. D. F. Baker 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.
Heinson, Graham, et al.. (2025). Deep crustal magnetotelluric imaging of continental accretion and intracontinental deformation in central Australia. Scientific Reports. 15(1). 22008–22008.
2.
Lei, Ruixue, D. N. Huntzinger, Junjie Liu, et al.. (2024). 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. Remote Sensing of Environment. 312. 114326–114326. 1 indexed citations
3.
Zheng, Tao, et al.. (2024). Development of the tangent linear and adjoint models of the global online chemical transport model MPAS-CO 2 v7.3. Geoscientific model development. 17(4). 1543–1562. 1 indexed citations
4.
Kennedy, Robert E., Shawn Serbin, Michael C. Dietze, et al.. (2024). Characterizing and communicating uncertainty: lessons from NASA’s Carbon Monitoring System. Environmental Research Letters. 19(12). 123003–123003. 2 indexed citations
5.
6.
Crowell, Sean, A. E. Schuh, D. F. Baker, et al.. (2022). Four years of global carbon cycle observed from the Orbiting Carbon Observatory 2 (OCO-2) version 9 and in situ data and comparison to OCO-2 version 7. Atmospheric chemistry and physics. 22(2). 1097–1130. 72 indexed citations
7.
Cui, Yu Yan, A. R. Jacobson, Sha Feng, et al.. (2021). Evaluation of CarbonTracker's Inverse Estimates of North American Net Ecosystem Exchange of CO 2 From Different Observing Systems Using ACT‐America Airborne Observations. Journal of Geophysical Research Atmospheres. 126(12). 8 indexed citations
8.
Massie, Steven T., Aronne Merrelli, C. O’Dell, et al.. (2021). Analysis of 3D cloud effects in OCO-2 XCO2 retrievals. Atmospheric measurement techniques. 14(2). 1475–1499. 16 indexed citations
9.
10.
Wang, James S., Tomohiro Oda, S. R. Kawa, et al.. (2020). The impacts of fossil fuel emission uncertainties and accounting for 3-D chemical CO2 production on inverse natural carbon flux estimates from satellite and in situ data. Environmental Research Letters. 15(8). 85002–85002. 7 indexed citations
11.
Massie, Steven T., et al.. (2020). Analysis of 3D Cloud Effects in OCO-2 XCO2 Retrievals. 3 indexed citations
12.
Chevallier, Frédéric, Marine Remaud, C. O’Dell, et al.. (2019). Objective evaluation of surface- and satellite-driven CO 2 atmospheric inversions. 3 indexed citations
13.
Philip, Sajeev, Matthew S. Johnson, Christopher Potter, et al.. (2019). Prior biosphere model impact on global terrestrial CO 2 fluxes estimated from OCO-2 retrievals. Atmospheric chemistry and physics. 19(20). 13267–13287. 38 indexed citations
14.
Chevallier, Frédéric, Marine Remaud, C. O’Dell, et al.. (2019). Objective evaluation of surface- and satellite-driven carbon dioxide atmospheric inversions. Atmospheric chemistry and physics. 19(22). 14233–14251. 71 indexed citations
15.
Byrne, Brendan, Dylan B. A. Jones, Kimberly Strong, et al.. (2019). On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?. 1 indexed citations
16.
Gurney, K. R., et al.. (2016). Sensitivity of simulated CO 2 concentration to sub-annual variations in fossil fuel CO 2 emissions. Atmospheric chemistry and physics. 16(4). 1907–1918. 11 indexed citations
17.
Kulawik, S. S., D. F. Baker, Debra Wunch, et al.. (2013). Spatial and Temporal Biases in ACOS-GOSAT and BESD-SCIAMACHY Carbon Dioxide and Effects on Flux Estimates. AGUFM. 2013.
18.
Baker, D. F., Hartmut Bösch, Scott C. Doney, Diane M. O’Brien, & David Schimel. (2010). Carbon source/sink information provided by column CO 2 measurements from the Orbiting Carbon Observatory. Atmospheric chemistry and physics. 10(9). 4145–4165. 104 indexed citations
19.
Ciais, P., Shilong Piao, Nicolas Viovy, et al.. (2006). Top-down and bottom-up carbon budgets of North America, Europe and Asia. AGUFM. 2006. 1 indexed citations
20.
Russell, J. M., M. G. Mlynczak, L. L. Gordley, et al.. (2002). An Overview and Science Results from the SABER Experiment on the TIMED Satellite. AGUFM. 2002. 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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