G. Daniel Dockery

863 total citations
22 papers, 676 citations indexed

About

G. Daniel Dockery is a scholar working on Aerospace Engineering, Atmospheric Science and Electrical and Electronic Engineering. According to data from OpenAlex, G. Daniel Dockery has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Aerospace Engineering, 12 papers in Atmospheric Science and 10 papers in Electrical and Electronic Engineering. Recurrent topics in G. Daniel Dockery's work include Radio Wave Propagation Studies (19 papers), Precipitation Measurement and Analysis (11 papers) and Millimeter-Wave Propagation and Modeling (8 papers). G. Daniel Dockery is often cited by papers focused on Radio Wave Propagation Studies (19 papers), Precipitation Measurement and Analysis (11 papers) and Millimeter-Wave Propagation and Modeling (8 papers). G. Daniel Dockery collaborates with scholars based in United States. G. Daniel Dockery's co-authors include J.R. Kuttler, Steven M. Babin, J.P. Reilly, J. Goldhirsh, David Freund, James H. Meyer and Richard O. Claus and has published in prestigious journals such as IEEE Transactions on Antennas and Propagation, Radio Science and Johns Hopkins APL technical digest.

In The Last Decade

G. Daniel Dockery

20 papers receiving 568 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Daniel Dockery United States 9 642 427 243 97 35 22 676
Amalia E. Barrios United States 11 605 0.9× 426 1.0× 265 1.1× 95 1.0× 18 0.5× 21 632
Vincent Fabbro France 9 279 0.4× 166 0.4× 97 0.4× 84 0.9× 32 0.9× 45 330
H. V. Hitney United States 12 431 0.7× 284 0.7× 181 0.7× 60 0.6× 8 0.2× 23 448
Maurice W. Long United States 7 214 0.3× 61 0.1× 59 0.2× 100 1.0× 45 1.3× 14 345
S.W. Bidwell United States 10 138 0.2× 213 0.5× 116 0.5× 38 0.4× 137 3.9× 36 383
D.H.O. Bebbington United Kingdom 10 110 0.2× 209 0.5× 90 0.4× 19 0.2× 28 0.8× 34 350
J.E. Allnutt United States 13 611 1.0× 604 1.4× 264 1.1× 17 0.2× 21 0.6× 70 788
Boon Lim United States 12 189 0.3× 289 0.7× 92 0.4× 56 0.6× 17 0.5× 56 535
Flavio Iturbide‐Sánchez United States 12 169 0.3× 413 1.0× 127 0.5× 33 0.3× 6 0.2× 41 585
F. B. Beck United States 7 94 0.1× 40 0.1× 202 0.8× 57 0.6× 169 4.8× 24 321

Countries citing papers authored by G. Daniel Dockery

Since Specialization
Citations

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

Fields of papers citing papers by G. Daniel Dockery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Daniel Dockery. 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 G. Daniel Dockery. The network helps show where G. Daniel Dockery may publish in the future.

Co-authorship network of co-authors of G. Daniel Dockery

This figure shows the co-authorship network connecting the top 25 collaborators of G. Daniel Dockery. A scholar is included among the top collaborators of G. Daniel Dockery 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 G. Daniel Dockery. G. Daniel Dockery 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.
Babin, Steven M. & G. Daniel Dockery. (2002). LKB-Based Evaporation Duct Model Comparison with Buoy Data. Journal of Applied Meteorology. 41(4). 434–446. 79 indexed citations
2.
Dockery, G. Daniel, et al.. (2002). Scattering and propagation impacts on shipboard radar systems. 9. 401–408. 2 indexed citations
3.
Dockery, G. Daniel, et al.. (2001). Aegis Anti-Air Warfare Tactical Decision Aids. Johns Hopkins APL technical digest. 22(4). 473–487. 5 indexed citations
4.
Dockery, G. Daniel, et al.. (2001). Advances in calculating electromagnetic field propagation near the earth's surface. Johns Hopkins APL technical digest. 22(4). 462–472. 5 indexed citations
5.
Goldhirsh, J. & G. Daniel Dockery. (2001). K factor statistics for subrefraction in the mid‐Atlantic coast of the United States. Radio Science. 36(6). 1425–1437. 1 indexed citations
6.
Dockery, G. Daniel. (1998). Development and Use of Electromagnetic Parabolic Equation Propagation Models for U.S. Navy Applications. Johns Hopkins APL technical digest. 19(3). 283–292. 15 indexed citations
7.
Dockery, G. Daniel & J. Goldhirsh. (1995). Atmospheric data resolution requirements for propagation assessment: Case studies of range-dependent coastal environments. In AGARD. 7 indexed citations
8.
Goldhirsh, J., et al.. (1994). Three years of C band signal measurements for overwater, line‐of‐sight links in the mid‐Atlantic coast: 1. Fade statistics. Radio Science. 29(6). 1421–1431. 6 indexed citations
9.
Goldhirsh, J., et al.. (1993). Space diversity and fade duration statistics at C-band for two overwater, line-of-sight propagation paths in the mid-Atlantic coast. IEEE Transactions on Antennas and Propagation. 41(8). 1151–1155. 1 indexed citations
10.
Dockery, G. Daniel. (1992). A study of the realizability and performance of focused-wave pulses. 126–129. 1 indexed citations
11.
Goldhirsh, J., et al.. (1992). Fade statistics and propagation events at C band for two overwater, line‐of‐sight propagation paths over a 1‐year period. Radio Science. 27(6). 813–828. 5 indexed citations
12.
Goldhirsh, J. & G. Daniel Dockery. (1991). Propagation measurements and modeling at C band for over‐the‐water, line‐of‐sight propagation links in the Mid‐Atlantic coast. Radio Science. 26(3). 671–690. 10 indexed citations
13.
Kuttler, J.R. & G. Daniel Dockery. (1991). Theoretical description of the parabolic approximation/Fourier split‐step method of representing electromagnetic propagation in the troposphere. Radio Science. 26(2). 381–393. 224 indexed citations
14.
Dockery, G. Daniel. (1990). Method for modelling sea surface clutter in complicated propagation environments. IEE Proceedings F Radar and Signal Processing. 137(2). 73–73. 18 indexed citations
15.
Reilly, J.P. & G. Daniel Dockery. (1990). Influence of evaporation ducts on radar sea return. IEE Proceedings F Radar and Signal Processing. 137(2). 80–80. 44 indexed citations
16.
Dockery, G. Daniel, et al.. (1989). The Parabolic Equation Approach to Predicting Tropospheric Propagation Effects in Operational Environments. In AGARD. 3 indexed citations
17.
Dockery, G. Daniel. (1988). Modeling electromagnetic wave propagation in the troposphere using the parabolic equation. IEEE Transactions on Antennas and Propagation. 36(10). 1464–1470. 197 indexed citations
18.
Dockery, G. Daniel, et al.. (1987). Recent advances in prediction of tropospheric propagation using the parabolic equation. Johns Hopkins APL technical digest. 8. 404–412. 22 indexed citations
19.
Dockery, G. Daniel & Richard O. Claus. (1983). Measurement of Ultrasonic Fields in Transparent Media Using a Scanning Differential Interferometer. 14. 874–877. 1 indexed citations
20.
Dockery, G. Daniel, et al.. (1983). Calculation of Ultrasonic Field Propagation in Fluids Using Finite Difference Techniques. 15. 508–511. 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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