G.J. Dobeck

657 total citations
33 papers, 511 citations indexed

About

G.J. Dobeck is a scholar working on Oceanography, Ocean Engineering and Signal Processing. According to data from OpenAlex, G.J. Dobeck has authored 33 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oceanography, 20 papers in Ocean Engineering and 13 papers in Signal Processing. Recurrent topics in G.J. Dobeck's work include Underwater Acoustics Research (23 papers), Underwater Vehicles and Communication Systems (16 papers) and Blind Source Separation Techniques (10 papers). G.J. Dobeck is often cited by papers focused on Underwater Acoustics Research (23 papers), Underwater Vehicles and Communication Systems (16 papers) and Blind Source Separation Techniques (10 papers). G.J. Dobeck collaborates with scholars based in United States. G.J. Dobeck's co-authors include M.R. Azimi-Sadjadi, Dechen Yao, Qiang Huang, Lawrence Carin, Y. Zhang, Esther Dura, M.A. Hasan, Chunhua Yuan, JoEllen Wilbur and V.K. Jain and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Journal of Oceanic Engineering and IEEE Transactions on Neural Networks.

In The Last Decade

G.J. Dobeck

31 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G.J. Dobeck United States	12	337	228	156	109	78	33	511
P. Runkle United States	13	231 0.7×	189 0.8×	142 0.9×	113 1.0×	68 0.9×	29	554
Gerald J. Dobeck United States	12	401 1.2×	407 1.8×	62 0.4×	135 1.2×	100 1.3×	43	635
Guanghui Xu China	14	154 0.5×	108 0.5×	116 0.7×	139 1.3×	144 1.8×	41	509
Jean‐Marc Le Caillec France	11	103 0.3×	72 0.3×	89 0.6×	103 0.9×	80 1.0×	59	473
Peixuan Yang China	18	233 0.7×	124 0.5×	59 0.4×	34 0.3×	79 1.0×	23	488
Hyeonwoo Cho South Korea	14	191 0.6×	326 1.4×	60 0.4×	38 0.3×	179 2.3×	47	607
Qiang Huang China	8	134 0.4×	76 0.3×	80 0.5×	67 0.6×	117 1.5×	25	457
Ivars Kirsteins United States	11	186 0.6×	56 0.2×	363 2.3×	52 0.5×	44 0.6×	66	586
Chris Capus United Kingdom	9	190 0.6×	118 0.5×	62 0.4×	24 0.2×	100 1.3×	21	375
Xuebo Zhang China	21	448 1.3×	201 0.9×	103 0.7×	49 0.4×	205 2.6×	71	918

Countries citing papers authored by G.J. Dobeck

Since Specialization

Citations

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

Fields of papers citing papers by G.J. Dobeck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.J. Dobeck

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

All Works

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20 of 20 papers shown

Stack, J.R., G.J. Dobeck, Xuejun Liao, & Lawrence Carin. (2009). Kernel-Matching Pursuits With Arbitrary Loss Functions. IEEE Transactions on Neural Networks. 20(3). 395–405. 3 indexed citations

Dura, Esther, et al.. (2005). Active Learning for Detection of Mine-Like Objects in Side-Scan Sonar Imagery. IEEE Journal of Oceanic Engineering. 30(2). 360–371. 62 indexed citations

Jain, V.K. & G.J. Dobeck. (2005). Recursive digital filter synthesis, noniteratively. 2. 97–100. 3 indexed citations

Dobeck, G.J.. (2005). A probabilistic model for score-based algorithm fusion. 2429–2434 Vol. 3. 6 indexed citations

Azimi-Sadjadi, M.R., et al.. (2003). A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit. 1. 38–45. 5 indexed citations

Azimi-Sadjadi, M.R., et al.. (2003). A new sequential decision feedback method with application to target classification. 697–702. 2 indexed citations

Carin, Lawrence & G.J. Dobeck. (2003). Relevance vector machine feature selection and classification for underwater targets. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 1110 Vol.2–1110 Vol.2. 6 indexed citations

Dobeck, G.J., et al.. (2003). Processing string fusion approach investigation for automated sea mine classification in shallow water. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 2496. 1111–1118 Vol.2. 8 indexed citations

Dobeck, G.J., et al.. (2003). Real-time performance of fusion algorithms for computer aided detection and classification of bottom mines in the littoral environment. Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492). 3710. 1119–1125 Vol.2. 14 indexed citations

10.

Azimi-Sadjadi, M.R., et al.. (2002). Underwater target classification in changing environments using an adaptive feature mapping. IEEE Transactions on Neural Networks. 13(5). 1099–1111. 35 indexed citations

11.

Huang, Qiang, M.R. Azimi-Sadjadi, Bin Tian, & G.J. Dobeck. (2002). Underwater target classification using wavelet packets and neural networks. Digital Collections of Colorado (Colorado State University). 1. 177–182. 6 indexed citations

12.

Azimi-Sadjadi, M.R., et al.. (2002). Adaptive underwater target classification with multi-aspect decision feedback. 2. 1554–1559. 2 indexed citations

13.

Hasan, M.A., M.R. Azimi-Sadjadi, JoEllen Wilbur, & G.J. Dobeck. (2002). A modified block FTF adaptive algorithm with applications to underwater target detection. 2. 376–380. 2 indexed citations

14.

Azimi-Sadjadi, M.R., Dechen Yao, Qiang Huang, & G.J. Dobeck. (2000). Underwater target classification using wavelet packets and neural networks. IEEE Transactions on Neural Networks. 11(3). 784–794. 155 indexed citations

15.

Yuan, Chunhua, et al.. (2000). Underwater target detection using multichannel subband adaptive filtering and high-order correlation schemes. IEEE Journal of Oceanic Engineering. 25(1). 192–205. 23 indexed citations

16.

Azimi-Sadjadi, M.R., et al.. (1998). A new time delay estimation in subbands for resolving multiple specular reflections. IEEE Transactions on Signal Processing. 46(12). 3398–3403. 14 indexed citations

17.

Hasan, M.A., M.R. Azimi-Sadjadi, & G.J. Dobeck. (1998). Separation of multiple time delays using new spectral estimation schemes. IEEE Transactions on Signal Processing. 46(6). 1580–1590. 26 indexed citations

18.

Dobeck, G.J., et al.. (1996). Adaptive filter/feature orthogonalization processing string for optimal LLRT mine classification in side-scan sonar imagery.. Proc SPIE. 2765. 110–121. 12 indexed citations

19.

Jain, V.K., et al.. (1981). MOFNM - A method for optimum design of feedback systems. 190–191.

20.

Dobeck, G.J., et al.. (1976). Identification of submerged vehicle dynamics through a generalized least squares method. 78–83. 4 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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