J. D. Price

2.3k total citations
45 papers, 1.6k citations indexed

About

J. D. Price is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, J. D. Price has authored 45 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Atmospheric Science, 35 papers in Global and Planetary Change and 13 papers in Environmental Engineering. Recurrent topics in J. D. Price's work include Meteorological Phenomena and Simulations (32 papers), Atmospheric aerosols and clouds (25 papers) and Wind and Air Flow Studies (12 papers). J. D. Price is often cited by papers focused on Meteorological Phenomena and Simulations (32 papers), Atmospheric aerosols and clouds (25 papers) and Wind and Air Flow Studies (12 papers). J. D. Price collaborates with scholars based in United Kingdom, France and United States. J. D. Price's co-authors include G. Vaughan, Amanda M. Kerr‐Munslow, Andrew C. Bushell, Damian R. Wilson, Cyril Morcrette, Ian Boutle, Eleanor Burke, Rutger Dankers, Innocent Kudzotsa and Robin Clark and has published in prestigious journals such as Geophysical Research Letters, Atmospheric chemistry and physics and Bulletin of the American Meteorological Society.

In The Last Decade

J. D. Price

44 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. D. Price United Kingdom 23 1.4k 1.3k 307 89 81 45 1.6k
Yann Seity France 16 1.2k 0.8× 1.1k 0.8× 304 1.0× 143 1.6× 133 1.6× 35 1.5k
Rita D. Roberts United States 18 1.4k 1.0× 1.2k 0.9× 360 1.2× 74 0.8× 109 1.3× 34 1.7k
Frederick H. Carr United States 16 1.2k 0.9× 1.1k 0.8× 315 1.0× 105 1.2× 51 0.6× 32 1.4k
Sylvie Malardel France 13 1.1k 0.8× 980 0.8× 249 0.8× 214 2.4× 58 0.7× 25 1.3k
Bernard Campistron France 19 815 0.6× 731 0.6× 192 0.6× 110 1.2× 69 0.9× 54 967
J. P. Lafore France 3 779 0.5× 740 0.6× 171 0.6× 113 1.3× 60 0.7× 3 950
Humphrey Lean United Kingdom 20 2.4k 1.7× 2.3k 1.8× 405 1.3× 88 1.0× 38 0.5× 52 2.6k
Bianca Adler Germany 18 995 0.7× 956 0.8× 302 1.0× 32 0.4× 39 0.5× 68 1.1k
Pierre Brousseau France 16 1.2k 0.9× 1.1k 0.9× 262 0.9× 209 2.3× 77 1.0× 28 1.4k
Michael C. Coniglio United States 30 2.8k 2.0× 2.6k 2.1× 544 1.8× 91 1.0× 70 0.9× 69 3.0k

Countries citing papers authored by J. D. Price

Since Specialization
Citations

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

Fields of papers citing papers by J. D. Price

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. D. Price

This figure shows the co-authorship network connecting the top 25 collaborators of J. D. Price. A scholar is included among the top collaborators of J. D. Price 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 J. D. Price. J. D. Price 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.
Vié, Benoît, et al.. (2024). Importance of CCN activation for fog forecasting and its representation in the two‐moment microphysical scheme LIMA. Quarterly Journal of the Royal Meteorological Society. 150(764). 4217–4234. 1 indexed citations
2.
Hartogensis, Oscar, Aaron Boone, Oliver Branch, et al.. (2023). The surface-boundary layer connection across spatial scales of irrigation-driven thermal heterogeneity: An integrated data and modeling study of the LIAISE field campaign. Agricultural and Forest Meteorology. 335. 109452–109452. 13 indexed citations
3.
Barrett, Paul A., Steven J. Abel, Humphrey Lean, et al.. (2021). WesCon 2023: Wessex UK Summertime Convection Field Campaign.
4.
Renfrew, Ian A., et al.. (2020). Sub‐km scale numerical weather prediction model simulations of radiation fog. Quarterly Journal of the Royal Meteorological Society. 147(735). 746–763. 35 indexed citations
5.
Lac, Christine, et al.. (2020). Fog in heterogeneous environments: the relative importance of local and non‐local processes on radiative‐advective fog formation. Quarterly Journal of the Royal Meteorological Society. 146(731). 2522–2546. 25 indexed citations
6.
Price, J. D., et al.. (2020). The Use of Thermal Infra-Red Imagery to Elucidate the Dynamics and Processes Occurring in Fog. Atmosphere. 11(3). 240–240. 7 indexed citations
7.
Boutle, Ian, J. D. Price, Innocent Kudzotsa, Harri Kokkola, & Sami Romakkaniemi. (2018). Aerosol–fog interaction and the transition to well-mixed radiation fog. Atmospheric chemistry and physics. 18(11). 7827–7840. 93 indexed citations
8.
Renfrew, Ian A., et al.. (2018). Numerical modelling of the evolution of the boundary layer during a radiation fog event. Weather. 73(10). 310–316. 16 indexed citations
9.
Price, J. D., et al.. (2013). Aero-optic analysis of anisotropic turbulent boundary layer by direct integration. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8877. 887705–887705. 1 indexed citations
10.
Osborne, S., et al.. (2012). Comparison of Two Closely Located Meteorological Measurement Sites and Consequences for Their Areal Representativity. Boundary-Layer Meteorology. 142(3). 469–493. 11 indexed citations
11.
Dankers, Rutger, Eleanor Burke, & J. D. Price. (2011). Simulation of permafrost and seasonal thaw depth in the JULES land surface scheme. ˜The œcryosphere. 5(3). 773–790. 70 indexed citations
12.
Wilson, Damian R., Andrew C. Bushell, Amanda M. Kerr‐Munslow, et al.. (2008). PC2: A prognostic cloud fraction and condensation scheme. II: Climate model simulations. Quarterly Journal of the Royal Meteorological Society. 134(637). 2109–2125. 76 indexed citations
13.
Price, J. D.. (2001). A study on observed evolution of boundary layer humidity distributions. Atmospheric Science Letters. 2(1-4). 125–131. 16 indexed citations
14.
Price, J. D.. (1999). Observations of stratocumulus cloud break-up over land. Quarterly Journal of the Royal Meteorological Society. 125(554). 441–468. 1 indexed citations
15.
Price, J. D., et al.. (1998). A balloon-borne instrument to measure total water content in low-level clouds. Meteorological Applications. 5(4). 351–357. 4 indexed citations
16.
Price, J. D., et al.. (1994). Removal of meteorological synoptic‐scale disturbances from TOMS total ozone fields. Geophysical Research Letters. 21(13). 1475–1478. 5 indexed citations
17.
Price, J. D. & G. Vaughan. (1993). The potential for stratosphere‐troposphere exchange in cut‐off‐low systems. Quarterly Journal of the Royal Meteorological Society. 119(510). 343–365. 131 indexed citations
18.
Price, J. D. & G. Vaughan. (1992). Statistical studies of cut-off-low systems. Annales Geophysicae. 10. 96–102. 74 indexed citations
19.
Vaughan, G. & J. D. Price. (1989). Ozone Transport into the Troposphere in a Cut-Off Low Event. 415. 23 indexed citations
20.
Rossby, T., J. D. Price, & Douglas C. Webb. (1986). The Spatial and Temporal Evolution of a Cluster of SOFAR Floats in the POLYMODE Local Dynamics Experiment (LDE). Journal of Physical Oceanography. 16(3). 428–442. 19 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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