David Duncan

454 total citations
26 papers, 243 citations indexed

About

David Duncan is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, David Duncan has authored 26 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atmospheric Science, 15 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in David Duncan's work include Meteorological Phenomena and Simulations (20 papers), Precipitation Measurement and Analysis (11 papers) and Atmospheric aerosols and clouds (8 papers). David Duncan is often cited by papers focused on Meteorological Phenomena and Simulations (20 papers), Precipitation Measurement and Analysis (11 papers) and Atmospheric aerosols and clouds (8 papers). David Duncan collaborates with scholars based in United Kingdom, Sweden and United States. David Duncan's co-authors include Patrick Eriksson, Christian D. Kummerow, Niels Bormann, Alan Geer, Peter Weston, Manfred Brath, Stefan A. Buehler, Elías Hólm, Bengt Rydberg and Anke Thoss and has published in prestigious journals such as Journal of Climate, IEEE Transactions on Geoscience and Remote Sensing and Monthly Weather Review.

In The Last Decade

David Duncan

21 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Duncan United Kingdom 10 231 177 23 16 12 26 243
Éric Wattrelot France 5 234 1.0× 204 1.2× 22 1.0× 15 0.9× 7 0.6× 6 243
Julia Kukulies Sweden 10 230 1.0× 229 1.3× 14 0.6× 12 0.8× 6 0.5× 16 260
Daniel Watters United Kingdom 9 268 1.2× 173 1.0× 49 2.1× 24 1.5× 17 1.4× 11 298
F. Aoshima Germany 5 182 0.8× 184 1.0× 28 1.2× 14 0.9× 16 1.3× 5 209
Anin Puthukkudy United States 6 97 0.4× 111 0.6× 12 0.5× 20 1.3× 12 1.0× 10 134
Ambrogio Volonté United Kingdom 9 166 0.7× 148 0.8× 21 0.9× 15 0.9× 4 0.3× 18 191
L. Riishojgaard United States 3 206 0.9× 183 1.0× 13 0.6× 33 2.1× 4 0.3× 7 218
Marc Pontaud France 5 176 0.8× 179 1.0× 16 0.7× 37 2.3× 19 1.6× 8 219
Hiroaki Horie Japan 6 225 1.0× 209 1.2× 25 1.1× 14 0.9× 26 2.2× 44 255
Roger Huckle Germany 2 193 0.8× 163 0.9× 35 1.5× 5 0.3× 21 1.8× 3 213

Countries citing papers authored by David Duncan

Since Specialization
Citations

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

Fields of papers citing papers by David Duncan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of David Duncan. A scholar is included among the top collaborators of David Duncan 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 Duncan. David Duncan 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.
Scanlon, Tracy, Alan Geer, Niels Bormann, & David Duncan. (2025). Using 6.9 and 10.65 GHz From the AMSR2 and GMI Microwave Imagers in the ECMWF NWP System (IFS). IEEE Transactions on Geoscience and Remote Sensing. 63. 1–19.
2.
Magnusson, Linus, Sharanya J. Majumdar, Mohamed Dahoui, et al.. (2025). The role of observations in ECMWF tropical cyclone initialisation and forecasting. Quarterly Journal of the Royal Meteorological Society. 151(768). 2 indexed citations
3.
English, Stephen, Tracy Scanlon, E. C. Turner, et al.. (2025). Impact of RFI on Numerical Weather Prediction and Climate Reanalysis. 17–17.
4.
Scanlon, Tracy, David Duncan, Alan Geer, & Niels Bormann. (2025). Identification and attribution of RFI Sources using NWP departure statistics. 26–26.
5.
Fox, Stuart, Patrick Eriksson, David Duncan, et al.. (2022). Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems. Atmospheric measurement techniques. 15(3). 677–699. 13 indexed citations
6.
Fox, Stuart, Patrick Eriksson, David Duncan, et al.. (2021). Synergistic radar and sub-millimeter radiometer retrievals of ice hydrometeors in mid-latitude frontal cloud systems. 2 indexed citations
7.
Eriksson, Patrick, et al.. (2021). Can machine learning correct microwave humidity radiances for the influence of clouds?. Atmospheric measurement techniques. 14(4). 2957–2979. 1 indexed citations
8.
Bormann, Niels, David Duncan, Stephen English, et al.. (2021). Growing Operational Use of FY-3 Data in the ECMWF System. Advances in Atmospheric Sciences. 38(8). 1285–1298. 22 indexed citations
9.
Duncan, David, Niels Bormann, & Elías Hólm. (2021). On the addition of microwave sounders and numerical weather prediction skill. Quarterly Journal of the Royal Meteorological Society. 147(740). 3703–3718. 16 indexed citations
10.
Eriksson, Patrick, Stefan A. Buehler, Manfred Brath, et al.. (2020). Synergistic radar and radiometer retrievals of ice hydrometeors. Atmospheric measurement techniques. 13(8). 4219–4245. 21 indexed citations
11.
Duncan, David, et al.. (2019). On the distinctiveness of oceanic raindrop regimes. 1 indexed citations
12.
Duncan, David, et al.. (2019). On the distinctiveness of observed oceanic raindrop distributions. Atmospheric chemistry and physics. 19(10). 6969–6984. 11 indexed citations
13.
Duncan, David, et al.. (2019). An experimental 2D-Var retrieval using AMSR2. Atmospheric measurement techniques. 12(12). 6341–6359. 3 indexed citations
14.
Duncan, David. (2019). Supporting code for AMT submission on 2DVAR retrievals from AMSR2. Figshare. 1 indexed citations
15.
Eriksson, Patrick, et al.. (2018). A neural network approach to estimate posterior distributions of Bayesian remote sensing retrievals. EGUGA. 13988. 1 indexed citations
16.
Eriksson, Patrick, et al.. (2018). A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems. Atmospheric measurement techniques. 11(8). 4627–4643. 25 indexed citations
17.
Duncan, David, Christian D. Kummerow, Brenda Dolan, & Veljko Petković. (2018). Towards variational retrieval of warm rain from passive microwave observations. Atmospheric measurement techniques. 11(7). 4389–4411. 9 indexed citations
18.
Duncan, David & Patrick Eriksson. (2018). An update on global atmospheric ice estimates from satellite observations and reanalyses. Atmospheric chemistry and physics. 18(15). 11205–11219. 43 indexed citations
19.
Lang, Timothy J., et al.. (2017). Polarization Deconvolution and Geophysical Retrieval from a Dual-Pol, Cross-Track Scanning Microwave Radiometer (AMPR) During OLYMPEX/RADEX. NASA STI Repository (National Aeronautics and Space Administration). 2017. 1 indexed citations
20.
Duncan, David. (1957). Occam's Razor. 1 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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