Stephen McAleer
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanical Engineering top 5%
- Gear and Bearing Dynamics Analysis
- Non-Destructive Testing Techniques
- Advanced machining processes and optimization
Papers in
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- Reinforcement Learning in Robotics 3
- Artificial Intelligence in Games 1
- Neural Networks and Applications 1
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- Neutrino Physics Research 2
- Astrophysics and Cosmic Phenomena 2
- Dark Matter and Cosmic Phenomena 1
- Co-authors
- Pierre Baldi (1 shared paper)Siyu Shao (1 shared paper)Pierre Baldi (5 shared papers)Forest Agostinelli (2 shared papers)Alexander Shmakov (2 shared papers)Christian Gläser (2 shared papers)S. W. Barwick (1 shared paper)Yaodong Yang (2 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (1 paper)Astroparticle Physics (1 paper)Translational Vision Science & Technology (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Stephen McAleer
10 papers receiving 1.3k citations
Stephen McAleer's Hit Papers
Peers
Comparison fields: 5 of 90
- Control and Systems Engineering 981
- Mechanical Engineering 541
- Industrial and Manufacturing Engineering 129
- Mechanics of Materials 299
- Artificial Intelligence 303
Countries citing papers authored by Stephen McAleer
This map shows the geographic impact of Stephen McAleer'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 Stephen McAleer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen McAleer more than expected).
Fields of papers citing papers by Stephen McAleer
This network shows the impact of papers produced by Stephen McAleer. 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 Stephen McAleer. The network helps show where Stephen McAleer may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen McAleer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Highly Accurate Machine Fault Diagnosis Using Deep Transfer Learning Hit paper breakdown → | 2018 | 1221 |
| 2 | 2019 | 78 | |
| 3 | 2021 | 15 | |
| 4 | 2022 | 10 | |
| 5 | 2024 | 9 | |
| 6 | Solving the Rubik's Cube with Approximate Policy Iteration | 2018 | 7 |
| 7 | 2023 | 2 | |
| 8 | Neural Auto-Curricula in Two-Player Zero-Sum Games | 2021 | 2 |
| 9 | 2021 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 0 |
About Stephen McAleer
Stephen McAleer is a scholar working on Artificial Intelligence, Nuclear and High Energy Physics, Computer Networks and Communications, Astronomy and Astrophysics and Control and Systems Engineering, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Neutrino Physics Research (2 papers), Astrophysics and Cosmic Phenomena (2 papers), Artificial Intelligence in Games (1 paper), Dark Matter and Cosmic Phenomena (1 paper), Game Theory and Applications (1 paper), Radio Astronomy Observations and Technology (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (981 citations), Mechanical Engineering (541 citations), Industrial and Manufacturing Engineering (129 citations), Mechanics of Materials (299 citations) and Artificial Intelligence (303 citations). Stephen McAleer has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Pierre Baldi, Siyu Shao, Pierre Baldi, Forest Agostinelli, Alexander Shmakov, Christian Gläser, S. W. Barwick, Yaodong Yang, Mihaela Balu and Alexander Fast. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Astroparticle Physics, Translational Vision Science & Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence and Nature Machine Intelligence.
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.