Garry Jacyna

692 total citations · 1 hit paper
35 papers, 517 citations indexed

About

Garry Jacyna is a scholar working on Artificial Intelligence, Signal Processing and Oceanography. According to data from OpenAlex, Garry Jacyna has authored 35 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Signal Processing and 7 papers in Oceanography. Recurrent topics in Garry Jacyna's work include Speech and Audio Processing (6 papers), Underwater Acoustics Research (6 papers) and Neural Networks and Applications (6 papers). Garry Jacyna is often cited by papers focused on Speech and Audio Processing (6 papers), Underwater Acoustics Research (6 papers) and Neural Networks and Applications (6 papers). Garry Jacyna collaborates with scholars based in United States and South Korea. Garry Jacyna's co-authors include Alex R. Chiriyath, Daniel W. Bliss, Bryan Paul, Barry Fell, M. J. Jacobson, James R. Thompson, Hanseok Ko, E.B. George, David Colella and Harold Szu and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and The Journal of the Acoustical Society of America.

In The Last Decade

Garry Jacyna

30 papers receiving 496 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inner Bounds on Performance of Radar and Communications Co-Existence

2015 327 citations Garry Jacyna et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Garry Jacyna United States	8	304	226	93	75	62	35	517
Jinfeng Hu China	14	437 1.4×	235 1.0×	65 0.7×	86 1.1×	67 1.1×	94	704
Mike Wicks United States	6	523 1.7×	181 0.8×	77 0.8×	90 1.2×	48 0.8×	7	594
Amir Zaimbashi Iran	16	458 1.5×	149 0.7×	139 1.5×	75 1.0×	79 1.3×	48	605
Jari Syrjärinne Finland	11	180 0.6×	224 1.0×	81 0.9×	41 0.5×	42 0.7×	26	320
Feixue Wang China	15	577 1.9×	289 1.3×	192 2.1×	99 1.3×	89 1.4×	141	766
Linlong Wu Luxembourg	14	630 2.1×	389 1.7×	127 1.4×	101 1.3×	69 1.1×	60	841
Junxiao Song Hong Kong	7	615 2.0×	324 1.4×	109 1.2×	136 1.8×	57 0.9×	12	812
Haowen Chen China	11	375 1.2×	80 0.4×	59 0.6×	79 1.1×	76 1.2×	36	448
Justin G. Metcalf United States	17	903 3.0×	413 1.8×	106 1.1×	149 2.0×	78 1.3×	67	1.0k
Ammar Ahmed United States	15	409 1.3×	249 1.1×	38 0.4×	267 3.6×	36 0.6×	45	625

Countries citing papers authored by Garry Jacyna

Since Specialization

Citations

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

Fields of papers citing papers by Garry Jacyna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garry Jacyna

This figure shows the co-authorship network connecting the top 25 collaborators of Garry Jacyna. A scholar is included among the top collaborators of Garry Jacyna 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 Garry Jacyna. Garry Jacyna 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

Jacyna, Garry, et al.. (2025). The Multifractal Gaussian Mixture Model for unsupervised segmentation of complex data sets. Spatial Statistics. 66. 100879–100879.

Jacyna, Garry, et al.. (2023). An Improved Model of Wavelet Leader Covariance for Estimating Multifractal Properties. ACM Transactions on Modeling and Computer Simulation. 34(1). 1–22. 1 indexed citations

Thompson, James R., et al.. (2019). Simulating Multifractal Signals for Risk Assessment. 536–547.

Jacyna, Garry, et al.. (2016). Nonstationary signal design for coexisting radar and communications systems. 549–553. 4 indexed citations

Guharay, S. K., et al.. (2015). Critical infrastructure network analysis enabled by simulation metamodeling. Winter Simulation Conference. 2436–2447. 2 indexed citations

Hwang, Grace M., Garry Jacyna, Mark B. Bush, et al.. (2013). Automated pollen identification system for forensic geo-historical location applications. 3. 297–303. 7 indexed citations

Khalili, Mey, et al.. (2010). Heading prediction in unmanned ground vehicles by laser compass. 4. 255–260.

Jacyna, Garry, et al.. (2010). Vehicle detection and localization using Unattended Ground Magnetometer Sensors. 1–8. 13 indexed citations

George, E.B., et al.. (2005). Vehicle acoustic classification in netted sensor systems using Gaussian mixture models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5809. 409–409. 7 indexed citations

10.

Jacyna, Garry, et al.. (2005). <title>Netted sensors-based vehicle acoustic classification at Tier 1 nodes</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5796. 404–415. 2 indexed citations

11.

Colella, David, et al.. (2002). A characterization of neural network performances based on Fokker-Planck statistical models. 357–369.

12.

Colella, David, et al.. (2002). Feature-based epileptic seizure detection and prediction from ECoG recordings. 564–567. 4 indexed citations

13.

Gaillard, William D., et al.. (2002). Feature-based detection of epileptic seizures using ECoG recordings and a PAM model. 2. 933–934. 2 indexed citations

14.

Ko, Hanseok & Garry Jacyna. (2000). Dynamical behavior of autoassociative memory performing novelty filtering for signal enhancement. IEEE Transactions on Neural Networks. 11(5). 1152–1161. 6 indexed citations

15.

Haug, Anton J. & Garry Jacyna. (2000). Theory and analytical performance evaluation of generalized correlation beamformers. IEEE Journal of Oceanic Engineering. 25(3). 314–330. 3 indexed citations

16.

Jacyna, Garry, et al.. (1989). Classification performance of a Hopfield neural network based on a Hebbian-like learning rule. IEEE Transactions on Information Theory. 35(2). 263–280. 7 indexed citations

17.

Jacyna, Garry. (1982). Digital waveform processing and recognition. IEEE Journal of Oceanic Engineering. 7(4). 177–177. 19 indexed citations

18.

Jacobson, M. J., et al.. (1981). Short-range acoustical effects of vertical and horizontal source-motion variations in a deep ocean. The Journal of the Acoustical Society of America. 69(1). 95–107. 1 indexed citations

19.

Frasca, Peter, Garry Jacyna, Richard A. Harper, & J. Lawrence Katz. (1981). Strain dependence of dynamic Young's modulus for human single osteons. Journal of Biomechanics. 14(10). 691–696. 3 indexed citations

20.

Jacyna, Garry & M. J. Jacobson. (1978). Deep-water acoustical analysis of stationary and moving broadband sound sources. The Journal of the Acoustical Society of America. 63(5). 1353–1364. 2 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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