Timothy J. O’Shea

6.9k total citations · 2 hit papers
22 papers, 3.2k citations indexed

About

Timothy J. O’Shea is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Timothy J. O’Shea has authored 22 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 6 papers in Computer Networks and Communications. Recurrent topics in Timothy J. O’Shea's work include Wireless Signal Modulation Classification (9 papers), Advanced MIMO Systems Optimization (5 papers) and Speech and Audio Processing (4 papers). Timothy J. O’Shea is often cited by papers focused on Wireless Signal Modulation Classification (9 papers), Advanced MIMO Systems Optimization (5 papers) and Speech and Audio Processing (4 papers). Timothy J. O’Shea collaborates with scholars based in United States, Canada and France. Timothy J. O’Shea's co-authors include Jakob Hoydis, T. Charles Clancy, Tamoghna Roy, Tugba Erpek, Johnathan Corgan, Mojtaba Vaezi, Xinliang Zhang, Thomas W. Rondeau, Erich P. Stuntebeck and Nathan West and has published in prestigious journals such as IEEE Communications Letters, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Cognitive Communications and Networking.

In The Last Decade

Timothy J. O’Shea

20 papers receiving 3.1k citations

Hit Papers

An Introduction to Deep Learning for the Physical Layer 2017 2026 2020 2023 2017 2018 500 1000 1.5k
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.

  1. An Introduction to Deep Learning for the Physical Layer
    2017 1.8k citations Timothy J. O’Shea, Jakob Hoydis IEEE Transactions on Cognitive Communications and Networking profile →
  2. Over-the-Air Deep Learning Based Radio Signal Classification
    2018 1.0k citations Timothy J. O’Shea, Tamoghna Roy et al. IEEE Journal of Selected Topics in Signal Processing profile →

Peers

Timothy J. O’Shea
Aiqun Hu China
Ya Tu China
Zaichen Zhang China
Shilian Zheng China
Iyad Dayoub France
Robert Inkol Canada
Andreas Burg Switzerland
Vimal Bhatia India
Dennis Goeckel United States
Jiaru Lin China
Aiqun Hu China
Timothy J. O’Shea
Citations per year, relative to Timothy J. O’Shea Timothy J. O’Shea (= 1×) peers Aiqun Hu

Countries citing papers authored by Timothy J. O’Shea

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. O’Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. O’Shea. 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 Timothy J. O’Shea. The network helps show where Timothy J. O’Shea may publish in the future.

Co-authorship network of co-authors of Timothy J. O’Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. O’Shea. A scholar is included among the top collaborators of Timothy J. O’Shea 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 Timothy J. O’Shea. Timothy J. O’Shea 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.
Ahmed, Imtiaz, et al.. (2025). Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference. IEEE Communications Letters. 29(7). 1559–1563. 2 indexed citations
2.
3.
O’Shea, Timothy J., et al.. (2024). Deep Learning Based Uplink Multi-User SIMO Beamforming Design. 329–333. 3 indexed citations
4.
5.
O’Shea, Timothy J., et al.. (2024). Deep Learning Based Joint Multi-User MISO Power Allocation and Beamforming Design. 239–244. 2 indexed citations
6.
Muralidhar, Nikhil, et al.. (2022). Efficient Generative Wireless Anomaly Detection for Next Generation Networks. 594–599. 2 indexed citations
7.
Muralidhar, Nikhil, et al.. (2022). Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback. 33. 1161–1166. 1 indexed citations
8.
Zhang, Xinliang, Mojtaba Vaezi, & Timothy J. O’Shea. (2022). SVD-Embedded Deep Autoencoder for MIMO Communications. ICC 2022 - IEEE International Conference on Communications. 5190–5195. 13 indexed citations
9.
O’Shea, Timothy J., Tamoghna Roy, & T. Charles Clancy. (2018). Over-the-Air Deep Learning Based Radio Signal Classification. IEEE Journal of Selected Topics in Signal Processing. 12(1). 168–179. 1006 indexed citations breakdown →
10.
O’Shea, Timothy J., et al.. (2018). Demonstrating Deep Learning Based Communications Systems Over the Air In Practice. 1–2. 7 indexed citations
11.
Erpek, Tugba, Timothy J. O’Shea, & T. Charles Clancy. (2018). Learning a Physical Layer Scheme for the MIMO Interference Channel. 1–5. 29 indexed citations
12.
O’Shea, Timothy J. & Jakob Hoydis. (2017). An Introduction to Deep Learning for the Physical Layer. IEEE Transactions on Cognitive Communications and Networking. 3(4). 563–575. 1824 indexed citations breakdown →
13.
O’Shea, Timothy J. & Jakob Hoydis. (2017). An Introduction to Machine Learning Communications Systems.. arXiv (Cornell University). 63 indexed citations
14.
O’Shea, Timothy J., Tamoghna Roy, & Tugba Erpek. (2017). Spectral detection and localization of radio events with learned convolutional neural features. 331–335. 22 indexed citations
15.
O’Shea, Timothy J., Tugba Erpek, & T. Charles Clancy. (2017). Physical layer deep learning of encodings for the MIMO fading channel. 76–80. 66 indexed citations
16.
O’Shea, Timothy J., et al.. (2016). End-to-end radio traffic sequence recognition with recurrent neural networks. 277–281. 31 indexed citations
17.
McCarthy, Nicholas, et al.. (2016). Geolocation of RF Emitters with a Formation-Flying Cluster of Three Microsatellites. Digital Commons - USU (Utah State University). 7 indexed citations
18.
O’Shea, Timothy J., Johnathan Corgan, & T. Charles Clancy. (2016). Unsupervised representation learning of structured radio communication signals. 1–5. 61 indexed citations
19.
O’Shea, Timothy J., et al.. (2007). PRACTICAL SIGNAL DETECTION AND CLASSIFICATION IN GNU RADIO. 19 indexed citations
20.
Stuntebeck, Erich P., et al.. (2006). ARCHITECTURE FOR AN OPEN-SOURCE COGNITIVE RADIO. 7 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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