Ryan Goldhahn
Impact in
- Ocean Engineering top 5%
- Underwater Vehicles and Communication Systems
- Geophysical Methods and Applications
- Oceanography top 10%
- Underwater Acoustics Research
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 10
- Adversarial Robustness in Machine Learning 3
- Anomaly Detection Techniques and Applications 3
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- Underwater Vehicles and Communication Systems 11
- Geophysical Methods and Applications 2
- Co-authors
- Kevin D. LePage (8 shared papers)Gabriele Ferri (6 shared papers)Paolo Braca (3 shared papers)Andrea Munafò (5 shared papers)Jeffrey Krolik (3 shared papers)Vincenzo Matta (2 shared papers)Stefano Maranò (2 shared papers)Bhavya Kailkhura (5 shared papers)
- Journals
- The Journal of the Acoustical Society of America (3 papers)IEEE Transactions on Signal Processing (2 papers)IEEE Sensors Journal (1 paper)Statistical Analysis and Data Mining The ASA Data Science Journal (1 paper)International Conference on Information Fusion (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Ryan Goldhahn
21 papers receiving 280 citations
Peers
Comparison fields: 5 of 47
- Ocean Engineering 171
- Oceanography 114
- Artificial Intelligence 130
- Computer Networks and Communications 71
- Electrical and Electronic Engineering 87
Countries citing papers authored by Ryan Goldhahn
This map shows the geographic impact of Ryan Goldhahn'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 Goldhahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Goldhahn more than expected).
Fields of papers citing papers by Ryan Goldhahn
This network shows the impact of papers produced by Ryan Goldhahn. 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 Goldhahn. The network helps show where Ryan Goldhahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Goldhahn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 95 | |
| 2 | 2014 | 24 | |
| 3 | 2008 | 24 | |
| 4 | Cognitive multistatic AUV networks | 2014 | 19 |
| 5 | 2014 | 19 | |
| 6 | 2017 | 14 | |
| 7 | 2011 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2007 | 10 | |
| 10 | 2015 | 8 | |
| 11 | 2014 | 7 | |
| 12 | 2019 | 7 | |
| 13 | Robust Federated Learning Using ADMM in the Presence of Data Falsifying Byzantines. | 2017 | 7 |
| 14 | 2021 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2022 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2022 | 2 | |
| 20 | Mixture of Robust Experts (MoRE): A Flexible Defense Against Multiple Perturbations. | 2021 | 1 |
About Ryan Goldhahn
Ryan Goldhahn is a scholar working on Artificial Intelligence, Ocean Engineering, Oceanography, Computer Networks and Communications and Aerospace Engineering, having authored 21 papers that have together received 283 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (11 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers), Underwater Acoustics Research (9 papers), Distributed Sensor Networks and Detection Algorithms (5 papers), Adversarial Robustness in Machine Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers), Robotics and Sensor-Based Localization (2 papers) and Geophysical Methods and Applications (2 papers). The work is most often cited by research in Ocean Engineering (171 citations), Oceanography (114 citations), Artificial Intelligence (130 citations), Computer Networks and Communications (71 citations) and Electrical and Electronic Engineering (87 citations). Ryan Goldhahn has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Kevin D. LePage, Gabriele Ferri, Paolo Braca, Andrea Munafò, Jeffrey Krolik, Vincenzo Matta, Stefano Maranò, Bhavya Kailkhura, Peter Willett and Priyadip Ray. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Transactions on Signal Processing, IEEE Sensors Journal, Statistical Analysis and Data Mining The ASA Data Science Journal and International Conference on Information Fusion.
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.