A. J. Gadd

440 total citations
11 papers, 327 citations indexed

About

A. J. Gadd is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, A. J. Gadd has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 5 papers in Global and Planetary Change and 2 papers in Environmental Engineering. Recurrent topics in A. J. Gadd's work include Meteorological Phenomena and Simulations (6 papers), Climate variability and models (5 papers) and Wind and Air Flow Studies (2 papers). A. J. Gadd is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Climate variability and models (5 papers) and Wind and Air Flow Studies (2 papers). A. J. Gadd collaborates with scholars based in United Kingdom. A. J. Gadd's co-authors include H. Salzmann, C. Gowers, K. Hirsch, P. Nielsen, Kaye E. Reed, Robert Morris, H. Murmann, Stephen J. Cox, Richard Renshaw and M. Gadeberg and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Review of Scientific Instruments and Nuclear Fusion.

In The Last Decade

A. J. Gadd

10 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. J. Gadd United Kingdom 8 163 123 96 46 43 11 327
Jos de Kloe Netherlands 12 283 1.7× 258 2.1× 205 2.1× 9 0.2× 61 1.4× 28 561
M. Briscolini Italy 9 117 0.7× 53 0.4× 48 0.5× 213 4.6× 77 1.8× 12 353
Ronald J. Glumb United States 9 166 1.0× 141 1.1× 19 0.2× 30 0.7× 7 0.2× 31 363
J. M. Warnock United States 13 262 1.6× 118 1.0× 26 0.3× 13 0.3× 69 1.6× 26 534
Jeffry Rothermel United States 14 238 1.5× 261 2.1× 15 0.2× 93 2.0× 23 0.5× 42 546
J. Diarmuid Murphy United States 10 149 0.9× 126 1.0× 25 0.3× 13 0.3× 76 1.8× 16 369
C. L. Hemenway United States 13 144 0.9× 88 0.7× 11 0.1× 16 0.3× 8 0.2× 54 558
A. L. Fabrikant United States 11 67 0.4× 16 0.1× 15 0.2× 60 1.3× 150 3.5× 30 346
M. Z. Caponi United States 11 43 0.3× 14 0.1× 110 1.1× 23 0.5× 77 1.8× 33 368
R. J. Exton United States 13 26 0.2× 46 0.4× 17 0.2× 129 2.8× 48 1.1× 42 418

Countries citing papers authored by A. J. Gadd

Since Specialization
Citations

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

Fields of papers citing papers by A. J. Gadd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. J. Gadd

This figure shows the co-authorship network connecting the top 25 collaborators of A. J. Gadd. A scholar is included among the top collaborators of A. J. Gadd 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 A. J. Gadd. A. J. Gadd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Gadd, A. J., et al.. (1995). Global processing of satellite sounding radiances in a numerical weather prediction system. Quarterly Journal of the Royal Meteorological Society. 121(523). 615–630. 16 indexed citations
2.
Gadd, A. J., et al.. (1990). Operational numerical prediction of rapid cyclogenesis over the North Atlantic. Tellus A Dynamic Meteorology and Oceanography. 42(1). 116–116. 2 indexed citations
3.
Salzmann, H., A. J. Gadd, C. Gowers, et al.. (1988). The LIDAR Thomson scattering diagnostic on JET (invited). Review of Scientific Instruments. 59(8). 1451–1456. 78 indexed citations
4.
Morris, Robert & A. J. Gadd. (1988). FORECASTING THE STORM OF 15–16 OCTOBER 1987*. Weather. 43(3). 70–90. 10 indexed citations
5.
Cullen, Mike, et al.. (1987). Esso Energy Award Lecture, 1986 Advances in numerical weather prediction for aviation forecasting. Proceedings of the Royal Society of London A Mathematical and Physical Sciences. 410(1839). 255–268. 2 indexed citations
6.
Salzmann, H., K. Hirsch, P. Nielsen, et al.. (1987). First results from the LIDAR Thomson Scattering System on JET. Nuclear Fusion. 27(11). 1925–1928. 32 indexed citations
7.
Gadd, A. J.. (1980). Two refinements of the split explicit integration scheme. Quarterly Journal of the Royal Meteorological Society. 106(447). 215–220. 15 indexed citations
8.
9.
Gadd, A. J.. (1978). A split explicit integration scheme for numerical weather prediction. Quarterly Journal of the Royal Meteorological Society. 104(441). 569–582. 81 indexed citations
10.
Gadd, A. J.. (1978). A numerical advection scheme with small phase speed errors. Quarterly Journal of the Royal Meteorological Society. 104(441). 583–594. 28 indexed citations
11.
Gadd, A. J., et al.. (1970). Surface exchanges of sensible and latent heat in a 10‐level model atmosphere. Quarterly Journal of the Royal Meteorological Society. 96(408). 297–308. 63 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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