Tyler Cody
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Imbalanced Data Classification Techniques
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
Papers in
-
- Adversarial Robustness in Machine Learning 6
- Machine Learning and Algorithms 6
- Anomaly Detection Techniques and Applications 4
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- Fault Detection and Control Systems 9
- Machine Fault Diagnosis Techniques 5
- Co-authors
- Peter A. Beling (31 shared papers)Stephen Adams (9 shared papers)Laura Freeman (7 shared papers)Abdul Monem S. Rahma (1 shared paper)Laura E. Beane Freeman (4 shared papers)Abdul Rahim Abdul Rahman (4 shared papers)Lanxiao Huang (4 shared papers)Paul Park (1 shared paper)
- Journals
- Computer (2 papers)Artificial Intelligence Review (1 paper)IEEE Systems Journal (1 paper)Journal of the Operational Research Society (1 paper)IEEE Instrumentation & Measurement Magazine (1 paper)
- Partner nations
- United StatesUkraine
In The Last Decade
Tyler Cody
33 papers receiving 282 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 59
- Artificial Intelligence 139
- Software 15
- Management Science and Operations Research 30
- Computer Networks and Communications 55
Countries citing papers authored by Tyler Cody
This map shows the geographic impact of Tyler Cody'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 Tyler Cody with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tyler Cody more than expected).
Fields of papers citing papers by Tyler Cody
This network shows the impact of papers produced by Tyler Cody. 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 Tyler Cody. The network helps show where Tyler Cody may publish in the future.
Co-authors
The 22 scholars most cited alongside Tyler Cody, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 64 | |
| 2 | 2021 | 27 | |
| 3 | 2023 | 26 | |
| 4 | 2022 | 21 | |
| 5 | 2021 | 18 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 16 | |
| 8 | 2018 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2022 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 4 | |
| 17 | Application of Machine Learning to Rotorcraft Health Monitoring | 2017 | 4 |
| 18 | 2023 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2022 | 3 |
About Tyler Cody
Tyler Cody is a scholar working on Artificial Intelligence, Control and Systems Engineering, Signal Processing, Computer Networks and Communications and Information Systems, having authored 41 papers that have together received 286 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (9 papers), Advanced Malware Detection Techniques (8 papers), Network Security and Intrusion Detection (7 papers), Adversarial Robustness in Machine Learning (6 papers), Machine Learning and Algorithms (6 papers), Information and Cyber Security (6 papers), Machine Fault Diagnosis Techniques (5 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (59 citations), Artificial Intelligence (139 citations), Software (15 citations), Management Science and Operations Research (30 citations) and Computer Networks and Communications (55 citations). Tyler Cody has collaborated with scholars based in United States and Ukraine. Frequent co-authors include Peter A. Beling, Stephen Adams, Laura Freeman, Abdul Monem S. Rahma, Laura E. Beane Freeman, Abdul Rahim Abdul Rahman, Lanxiao Huang, Paul Park, Paula J. Dempsey and Alejandro Salado. Their work appears in journals such as Computer, Artificial Intelligence Review, IEEE Systems Journal, Journal of the Operational Research Society and IEEE Instrumentation & Measurement Magazine.
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.