Ryan J. Pirkl

908 total citations
29 papers, 722 citations indexed

About

Ryan J. Pirkl is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Ryan J. Pirkl has authored 29 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Electrical and Electronic Engineering, 10 papers in Aerospace Engineering and 7 papers in Ocean Engineering. Recurrent topics in Ryan J. Pirkl's work include Electromagnetic Compatibility and Measurements (17 papers), Antenna Design and Analysis (8 papers) and Microwave and Dielectric Measurement Techniques (7 papers). Ryan J. Pirkl is often cited by papers focused on Electromagnetic Compatibility and Measurements (17 papers), Antenna Design and Analysis (8 papers) and Microwave and Dielectric Measurement Techniques (7 papers). Ryan J. Pirkl collaborates with scholars based in United States, Germany and Romania. Ryan J. Pirkl's co-authors include Kate A. Remley, Christopher L. Holloway, John M. Ladbury, David A. Hill, William F. Young, Gregory D. Durgin, Markus Landmann, D. Sánchez‐Hernández, Moray Rumney and M.J. Neve and has published in prestigious journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Antennas and Propagation and IEEE Journal of Oceanic Engineering.

In The Last Decade

Ryan J. Pirkl

27 papers receiving 703 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan J. Pirkl United States 12 680 276 139 87 31 29 722
Niko Joram Germany 12 474 0.7× 161 0.6× 36 0.3× 169 1.9× 41 1.3× 99 571
J. Schroeder Germany 12 306 0.5× 79 0.3× 64 0.5× 106 1.2× 35 1.1× 18 358
H.A. Sharshar Egypt 13 443 0.7× 483 1.8× 42 0.3× 49 0.6× 62 2.0× 38 623
Daniel Arnitz United States 13 502 0.7× 308 1.1× 91 0.7× 176 2.0× 36 1.2× 27 640
Noriharu Suematsu Japan 13 873 1.3× 248 0.9× 37 0.3× 130 1.5× 118 3.8× 223 971
Xuetian Wang China 9 204 0.3× 176 0.6× 60 0.4× 25 0.3× 21 0.7× 53 320
J.G. McRory Canada 12 444 0.7× 166 0.6× 24 0.2× 105 1.2× 54 1.7× 31 506
Jason B. Coder United States 10 549 0.8× 208 0.8× 107 0.8× 83 1.0× 97 3.1× 50 601
Chenming Zhou United States 11 351 0.5× 146 0.5× 87 0.6× 184 2.1× 22 0.7× 22 376
P. Kyritsi Denmark 12 573 0.8× 218 0.8× 95 0.7× 149 1.7× 153 4.9× 26 617

Countries citing papers authored by Ryan J. Pirkl

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Pirkl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan J. Pirkl

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Pirkl. A scholar is included among the top collaborators of Ryan J. Pirkl 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 Ryan J. Pirkl. Ryan J. Pirkl 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.
Pirkl, Ryan J. & Jason M. Aughenbaugh. (2017). Covariance Matrix Estimation for Broadband Underwater Noise. IEEE Journal of Oceanic Engineering. 42(4). 936–947. 4 indexed citations
2.
Remley, Kate A., Ryan J. Pirkl, Chih‐Ming Wang, et al.. (2017). Estimating and Correcting the Device-Under-Test Transfer Function in Loaded Reverberation Chambers for Over-the-Air Tests. IEEE Transactions on Electromagnetic Compatibility. 59(6). 1724–1734. 21 indexed citations
3.
Pirkl, Ryan J. & Jason M. Aughenbaugh. (2016). A Bayesian tracker for multi-sensor passive narrowband fusion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9842. 984204–984204.
4.
Pirkl, Ryan J. & Jason M. Aughenbaugh. (2015). Bayesian passive sonar tracking with conventional beamformer-level data. International Conference on Information Fusion. 621–628. 3 indexed citations
5.
Remley, Kate A., Ansgar T. Kirk, Ryan J. Pirkl, et al.. (2014). Parameter Estimation and Uncertainty Evaluation in a Low Rician <italic>K</italic>-Factor Reverberation-Chamber Environment. IEEE Transactions on Electromagnetic Compatibility. 56(5). 1002–1012. 20 indexed citations
6.
Holloway, Christopher L., et al.. (2012). Early Time Behavior in Reverberation Chambers and Its Effect on the Relationships Between Coherence Bandwidth, Chamber Decay Time, RMS Delay Spread, and the Chamber Buildup Time. IEEE Transactions on Electromagnetic Compatibility. 54(4). 714–725. 103 indexed citations
7.
Holloway, Christopher L., et al.. (2012). Reverberation Chamber Techniques for Determining the Radiation and Total Efficiency of Antennas. IEEE Transactions on Antennas and Propagation. 60(4). 1758–1770. 205 indexed citations
8.
Holloway, Christopher L., et al.. (2012). Validation of a two-antenna reverberation-chamber technique for estimating the total and radiation efficiency of antennas. Zenodo (CERN European Organization for Nuclear Research). 1–6. 9 indexed citations
9.
10.
Rumney, Moray, Ryan J. Pirkl, Markus Landmann, & D. Sánchez‐Hernández. (2012). MIMO Over-The-Air Research, Development, and Testing. International Journal of Antennas and Propagation. 2012. 1–8. 55 indexed citations
11.
Pirkl, Ryan J., et al.. (2011). Reverberation Chamber Measurement Correlation. IEEE Transactions on Electromagnetic Compatibility. 54(3). 533–545. 88 indexed citations
12.
Pirkl, Ryan J. & Kate A. Remley. (2011). Antenna-environment multiple scattering in reverberation chamber measurements. 1650–1653. 2 indexed citations
13.
Pirkl, Ryan J. & Gregory D. Durgin. (2009). 2-D field reconstruction: A measurement “sandbox” for spatial correlation analysis. European Conference on Antennas and Propagation. 231–234.
14.
Pirkl, Ryan J. & Gregory D. Durgin. (2009). Quasi 2-D Field Reconstruction Using the Conjoint Cylindrical Wave Expansion. IEEE Transactions on Antennas and Propagation. 57(4). 1095–1104. 5 indexed citations
15.
Pirkl, Ryan J. & Gregory D. Durgin. (2009). Revisiting the spread spectrum sliding correlator: why filtering matters. IEEE Transactions on Wireless Communications. 8(7). 3454–3457. 3 indexed citations
16.
Yamanaka, Masahito, Masatoshi Enomoto, Ryan J. Pirkl, et al.. (2009). The Minimum Number of Adaptive Array Antenna Elements for Interference Suppression in Ubiquitous Communication Environments. 2. 1–6. 2 indexed citations
17.
Pirkl, Ryan J. & Gregory D. Durgin. (2008). Optimal Sliding Correlator Channel Sounder Design. IEEE Transactions on Wireless Communications. 7(9). 3488–3497. 51 indexed citations
18.
Pirkl, Ryan J. & Gregory D. Durgin. (2007). How to build an optimal broadband channel sounder. 601–604. 4 indexed citations
19.
Pirkl, Ryan J.. (2005). ECL Design Guide. 1 indexed citations
20.
Pirkl, Ryan J., et al.. (2005). Broadband Spatio-Temporal Channel Sounder for the 2.45 GHz ISM Band. SMARTech Repository (Georgia Institute of Technology). 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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