Christopher Agia
Impact in
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- Robotic Path Planning Algorithms
- Multimodal Machine Learning Applications
- Artificial Intelligence top 10%
- Reinforcement Learning in Robotics
- Topic Modeling
- Natural Language Processing Techniques
Papers in
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- Reinforcement Learning in Robotics 3
- AI-based Problem Solving and Planning 2
- Anomaly Detection Techniques and Applications 2
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- Robotic Path Planning Algorithms 3
- Multimodal Machine Learning Applications 2
- Co-authors
- Marco Pavone (5 shared papers)Toki Migimatsu (2 shared papers)Jeannette Bohg (3 shared papers)Kevin Lin (1 shared paper)Edward Schmerling (2 shared papers)Goldie Nejat (1 shared paper)Kaicheng Zhang (1 shared paper)Issa Nesnas (2 shared papers)
- Journals
- Autonomous Robots (2 papers)IEEE Robotics and Automation Letters (1 paper)IEEE Transactions on Intelligent Vehicles (1 paper)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Christopher Agia
10 papers receiving 263 citations
Christopher Agia's Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Vision and Pattern Recognition 97
- Artificial Intelligence 123
- Control and Systems Engineering 74
- Health Informatics 3
- Software 7
Countries citing papers authored by Christopher Agia
This map shows the geographic impact of Christopher Agia'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 Christopher Agia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Agia more than expected).
Fields of papers citing papers by Christopher Agia
This network shows the impact of papers produced by Christopher Agia. 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 Christopher Agia. The network helps show where Christopher Agia may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Agia, 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 | Text2Motion: from natural language instructions to feasible plans Hit paper breakdown → | 2023 | 119 |
| 2 | 2021 | 58 | |
| 3 | 2023 | 46 | |
| 4 | 2024 | 17 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 7 | |
| 7 | 2020 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2024 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2024 | 0 |
About Christopher Agia
Christopher Agia is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 12 papers that have together received 273 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (3 papers), Robot Manipulation and Learning (3 papers), Reinforcement Learning in Robotics (3 papers), Robotic Path Planning Algorithms (3 papers), Multimodal Machine Learning Applications (2 papers), AI-based Problem Solving and Planning (2 papers), Network Security and Intrusion Detection (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (97 citations), Artificial Intelligence (123 citations), Control and Systems Engineering (74 citations), Health Informatics (3 citations) and Software (7 citations). Christopher Agia has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Marco Pavone, Toki Migimatsu, Jeannette Bohg, Kevin Lin, Edward Schmerling, Goldie Nejat, Kaicheng Zhang, Issa Nesnas, Bingbing Liu and Ran Cheng. Their work appears in journals such as Autonomous Robots, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Vehicles, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and arXiv (Cornell University).
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.