David Durden

1.2k total citations
29 papers, 303 citations indexed

About

David Durden is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, David Durden has authored 29 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 7 papers in Environmental Engineering. Recurrent topics in David Durden's work include Plant Water Relations and Carbon Dynamics (14 papers), Meteorological Phenomena and Simulations (10 papers) and Climate variability and models (9 papers). David Durden is often cited by papers focused on Plant Water Relations and Carbon Dynamics (14 papers), Meteorological Phenomena and Simulations (10 papers) and Climate variability and models (9 papers). David Durden collaborates with scholars based in United States, Germany and United Kingdom. David Durden's co-authors include Stefan Metzger, Ke Xu, Ankur R. Desai, Monique Y. Leclerc, Cove Sturtevant, Hongyan Luo, Christopher Florian, Edward Ayres, Matthias Sühring and Joshua A. Roberti and has published in prestigious journals such as BioScience, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

David Durden

28 papers receiving 298 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 Durden United States 10 216 143 81 50 38 29 303
Rick Ketler Canada 6 270 1.3× 113 0.8× 63 0.8× 104 2.1× 23 0.6× 12 361
Shani Rohatyn Israel 9 215 1.0× 100 0.7× 59 0.7× 33 0.7× 23 0.6× 12 288
Pablo E. S. Oliveira Brazil 13 264 1.2× 203 1.4× 133 1.6× 34 0.7× 78 2.1× 34 372
Uta Moderow Germany 7 265 1.2× 119 0.8× 45 0.6× 20 0.4× 26 0.7× 14 289
Hongyan Luo United States 7 204 0.9× 83 0.6× 39 0.5× 72 1.4× 15 0.4× 12 283
E. Swiatek United States 6 311 1.4× 133 0.9× 111 1.4× 39 0.8× 25 0.7× 8 350
Nobutaka Monji Japan 10 159 0.7× 126 0.9× 131 1.6× 35 0.7× 79 2.1× 41 300
T. Markkanen Finland 9 472 2.2× 228 1.6× 199 2.5× 73 1.5× 46 1.2× 9 575
Yasuko Mizoguchi Japan 12 231 1.1× 219 1.5× 57 0.7× 44 0.9× 11 0.3× 23 379
Patrik Vestin Sweden 8 304 1.4× 112 0.8× 31 0.4× 116 2.3× 12 0.3× 19 377

Countries citing papers authored by David Durden

Since Specialization
Citations

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

Fields of papers citing papers by David Durden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Durden

This figure shows the co-authorship network connecting the top 25 collaborators of David Durden. A scholar is included among the top collaborators of David Durden 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 Durden. David Durden 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.
Lan, Changxing, Matthias Mauder, Stavros Stagakis, et al.. (2024). Intercomparison of eddy-covariance software for urban tall-tower sites. Atmospheric measurement techniques. 17(9). 2649–2669. 6 indexed citations
2.
Lombardozzi, Danica, William R. Wieder, Gordon B. Bonan, et al.. (2023). Overcoming barriers to enable convergence research by integrating ecological and climate sciences: the NCAR–NEON system Version 1. Geoscientific model development. 16(20). 5979–6000. 4 indexed citations
3.
Desai, Ankur R., et al.. (2022). Scaling Land‐Atmosphere Interactions: Special or Fundamental?. Journal of Geophysical Research Biogeosciences. 127(10). 5 indexed citations
4.
Desai, Ankur R., Stefan Metzger, David Durden, et al.. (2022). Space‐Scale Resolved Surface Fluxes Across a Heterogeneous, Mid‐Latitude Forested Landscape. Journal of Geophysical Research Atmospheres. 127(23). 7 indexed citations
5.
Drysdale, Will, Adam Vaughan, Freya Squires, et al.. (2022). Eddy covariance measurements highlight sources of nitrogen oxide emissions missing from inventories for central London. Atmospheric chemistry and physics. 22(14). 9413–9433. 9 indexed citations
6.
Metzger, Stefan, David Durden, Matthias Sühring, et al.. (2021). Novel approach to observing system simulation experiments improves information gain of surface–atmosphere field measurements. Atmospheric measurement techniques. 14(11). 6929–6954. 6 indexed citations
7.
Metzger, Stefan, David Durden, Matthias Sühring, et al.. (2021). Observing System Simulation Experiments double scientific return of surface-atmosphere synthesis.
8.
Vaughan, Adam, James Lee, Stefan Metzger, et al.. (2021). Spatially and temporally resolved measurements of NO x fluxes by airborne eddy covariance over Greater London. Atmospheric chemistry and physics. 21(19). 15283–15298. 9 indexed citations
9.
Lunch, Claire, Christine Laney, Megan A. Jones, & David Durden. (2020). Open Tools for NEON Data: Lessons from Open Code Development by NEON Scientists and the NEON User Community. 1 indexed citations
10.
Xu, Ke, Matthias Sühring, Stefan Metzger, David Durden, & Ankur R. Desai. (2020). Can Data Mining Help Eddy Covariance See the Landscape? A Large-Eddy Simulation Study. Boundary-Layer Meteorology. 176(1). 85–103. 16 indexed citations
11.
Durden, David, et al.. (2019). NEONScience/eddy4R: eddy4R-Docker 1.0.1. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
12.
Xu, Ke, Hongyan Luo, David Durden, et al.. (2019). The eddy-covariance storage term in air: Consistent community resources improve flux measurement reliability. Agricultural and Forest Meteorology. 279. 107734–107734. 16 indexed citations
13.
Sühring, Matthias, Stefan Metzger, Ke Xu, David Durden, & Ankur R. Desai. (2018). Trade-Offs in Flux Disaggregation: A Large-Eddy Simulation Study. Boundary-Layer Meteorology. 170(1). 69–93. 13 indexed citations
14.
15.
Metzger, Stefan, David Durden, Cove Sturtevant, et al.. (2017). eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5. Geoscientific model development. 10(9). 3189–3206. 32 indexed citations
16.
Metzger, Stefan, Edward Ayres, Roland C. Clement, et al.. (2015). Alignment of Surface-Atmosphere Exchange Sensors at Sloped Sites: An Integrated Strategy. AGU Fall Meeting Abstracts. 2015. 1 indexed citations
17.
El‐Madany, Tarek S., Henrique F. Duarte, David Durden, et al.. (2014). Low-level jets and above-canopy drainage as causes of turbulent exchange in the nocturnal boundary layer. Biogeosciences. 11(16). 4507–4519. 8 indexed citations
18.
Durden, David, et al.. (2013). On the impact of wave-like disturbances on turbulent fluxes and turbulence statistics in nighttime conditions: a case study. Biogeosciences. 10(12). 8433–8443. 15 indexed citations
19.
Leclerc, Monique Y., et al.. (2010). Hysteresis response of daytime net ecosystem exchange during drought. Biogeosciences. 7(3). 1159–1170. 41 indexed citations
20.
Sogachev, Andrey, et al.. (2009). Effect of Nocturnal Low-level Jet on Nighttime CO2 Concentrations and Fluxes: a Numerical Sensitive Study. AGU Fall Meeting Abstracts. 2009. 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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