David K. Adams

3.1k total citations · 1 hit paper
60 papers, 2.1k citations indexed

About

David K. Adams is a scholar working on Global and Planetary Change, Atmospheric Science and Oceanography. According to data from OpenAlex, David K. Adams has authored 60 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Global and Planetary Change, 33 papers in Atmospheric Science and 12 papers in Oceanography. Recurrent topics in David K. Adams's work include Climate variability and models (28 papers), Meteorological Phenomena and Simulations (27 papers) and Tropical and Extratropical Cyclones Research (10 papers). David K. Adams is often cited by papers focused on Climate variability and models (28 papers), Meteorological Phenomena and Simulations (27 papers) and Tropical and Extratropical Cyclones Research (10 papers). David K. Adams collaborates with scholars based in Mexico, United States and Brazil. David K. Adams's co-authors include Andrew C. Comrie, Christopher L. Castro, Ênio Pereira de Souza, J. David Neelin, Kathleen A. Schiro, Benjamin R. Lintner, Glauber G. Cirino, Rodrigo Augusto Ferreira De Souza, Paulo Artaxo and S. I. Gutman and has published in prestigious journals such as Journal of Climate, Earth and Planetary Science Letters and Geophysical Research Letters.

In The Last Decade

David K. Adams

55 papers receiving 2.0k citations

Hit Papers

The North American Monsoon 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David K. Adams Mexico 21 1.5k 1.3k 270 205 160 60 2.1k
Xungang Yin United States 24 1.5k 1.0× 1.3k 1.0× 265 1.0× 294 1.4× 169 1.1× 35 2.1k
Haijun Deng China 23 1.6k 1.1× 1.2k 0.9× 321 1.2× 249 1.2× 307 1.9× 63 2.5k
Dambaru Ballab Kattel China 13 1.2k 0.8× 2.5k 1.9× 255 0.9× 170 0.8× 172 1.1× 19 3.0k
Changgui Lin China 18 1.4k 1.0× 1.8k 1.4× 131 0.5× 178 0.9× 479 3.0× 28 2.3k
Margaret J. Woodage United Kingdom 13 1.1k 0.8× 1.0k 0.8× 100 0.4× 171 0.8× 70 0.4× 16 1.5k
Michael W. Douglas United States 16 1.4k 1.0× 1.4k 1.0× 160 0.6× 174 0.8× 86 0.5× 37 1.8k
Ramdane Alkama France 28 2.3k 1.5× 1.1k 0.8× 624 2.3× 362 1.8× 469 2.9× 45 3.1k
Rosa Hilda Compagnucci Argentina 19 1.1k 0.8× 1.6k 1.2× 337 1.2× 191 0.9× 77 0.5× 55 2.2k
Christopher L. Castro United States 27 2.2k 1.5× 1.8k 1.4× 162 0.6× 142 0.7× 336 2.1× 78 2.8k
Martin C. Todd United Kingdom 29 1.8k 1.2× 1.2k 0.9× 270 1.0× 213 1.0× 460 2.9× 62 2.9k

Countries citing papers authored by David K. Adams

Since Specialization
Citations

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

Fields of papers citing papers by David K. Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David K. Adams

This figure shows the co-authorship network connecting the top 25 collaborators of David K. Adams. A scholar is included among the top collaborators of David K. Adams 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 David K. Adams. David K. Adams 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.
Horváth, Ákos, et al.. (2025). Transient Darkening of Low‐Level Liquid Clouds by the 2022 Hunga Lamb Wave Observed in GOES‐R Imagery. Geophysical Research Letters. 52(12).
2.
Torri, Giuseppe, et al.. (2025). Sensitivity of the Shallow‐To‐Deep Convective Transition to Moisture and Wind Shear in the Amazon. Journal of Advances in Modeling Earth Systems. 17(4).
3.
Miranda, Pedro, David K. Adams, Ricardo Tomé, Rui Fernandes, & Pedro Mateus. (2023). Optimizing Boundary Conditions in GNSS Tomography: A Continuous 7‐Month Case Study in the Amazon. Geophysical Research Letters. 50(22). 3 indexed citations
4.
Arellano, Avelino F., et al.. (2023). On the Collective Importance of Model Physics and Data Assimilation on Mesoscale Convective System and Precipitation Forecasts over Complex Terrain. Monthly Weather Review. 151(8). 1993–2008. 2 indexed citations
6.
Chadwick, Robin, et al.. (2022). Revisiting mechanisms of the Mesoamerican Midsummer drought. Climate Dynamics. 60(1-2). 549–569. 21 indexed citations
7.
Vivoni, Enrique R., Enrico A. Yépez, Julio C. Rodríguez, et al.. (2021). Landscape Controls on Water‐Energy‐Carbon Fluxes Across Different Ecosystems During the North American Monsoon. Journal of Geophysical Research Biogeosciences. 126(5). 8 indexed citations
9.
Freitas, Saulo R., et al.. (2020). Cascading Toward a Kilometer‐Scale GCM: Impacts of a Scale‐Aware Convection Parameterization in the Goddard Earth Observing System GCM. Geophysical Research Letters. 47(17). 20 indexed citations
10.
Adams, David K., et al.. (2020). Isotopic variability (δ18O, δ2H and d-excess) during rainfall events of the north American monsoon across the Sonora River Basin, Mexico. Journal of South American Earth Sciences. 105. 102928–102928. 8 indexed citations
11.
Alves, Eliane Gomes, Julio Tóta, Andrew A. Turnipseed, et al.. (2018). Leaf phenology as one important driver of seasonal changes in isoprene emissions in central Amazonia. Biogeosciences. 15(13). 4019–4032. 25 indexed citations
12.
Alves, Eliane Gomes, Julio Tóta, A. Turnipseed, et al.. (2018). Leaf phenology as one important driver of seasonal changes in isoprene emission in central Amazonia. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations
13.
Lintner, Benjamin R., et al.. (2017). Relationships among climatological vertical moisture structure, column water vapor, and precipitation over the central Amazon in observations and CMIP5 models. Geophysical Research Letters. 44(4). 1981–1989. 23 indexed citations
14.
Castro, Christopher L., et al.. (2016). Objective Climatological Analysis of Extreme Weather Events in Arizona during the North American Monsoon. Journal of Applied Meteorology and Climatology. 55(11). 2431–2450. 26 indexed citations
15.
Castro, Christopher L., Hsin-I Chang, Thang M. Luong, et al.. (2015). Evaluating Changes in Extreme Weather During the North American Monsoon in the Southwest U.S. Using High Resolution, Convective-Permitting Regional Atmospheric Modeling. 2015 AGU Fall Meeting. 2015. 2 indexed citations
17.
Cirino, Glauber G., Rodrigo Augusto Ferreira De Souza, David K. Adams, & Paulo Artaxo. (2014). The effect of atmospheric aerosol particles and clouds on net ecosystem exchange in the Amazon. Atmospheric chemistry and physics. 14(13). 6523–6543. 92 indexed citations
18.
Adams, David K., Rui Fernandes, E. R. Kursinski, et al.. (2011). A dense GNSS meteorological network for observing deep convection in the Amazon. Atmospheric Science Letters. 12(2). 207–212. 31 indexed citations
19.
Adams, David K., E. R. Kursinski, & Richard A. Bennett. (2009). GPS Observations of Precipitable Water Vapor in Deep Convective Tropical Regimes. AIP conference proceedings. 207–210. 1 indexed citations
20.
Adams, David K.. (2000). Remarks on Arakawa-Schubert's Quasi-Equilibrium theory. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026