Bernard Michini
- Aerospace Engineering top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Networks and Communications
- Co-authors
- Jonathan P. HowMark CutlerNazım Kemal ÜreMatthew A. VavrinaJoshua ReddingJohn VianAli‐akbar Agha‐mohammadiThomas J. Walsh
- Topics
- Inertial Sensor and Navigation (2 papers)Reinforcement Learning in Robotics (2 papers)Gaussian Processes and Bayesian Inference (2 papers)
- Cited by
- Aerospace EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on RoboticsDSpace@MIT (Massachusetts Institute of Technology)AIAA Guidance, Navigation, and Control Conference
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Bernard Michini
8 papers receiving 263 citations
Peers
Comparison fields: 5 of 41
- Aerospace Engineering 142
- Control and Systems Engineering 110
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 43
- Computer Networks and Communications 37
Countries citing papers authored by Bernard Michini
This map shows the geographic impact of Bernard Michini'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 Bernard Michini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernard Michini more than expected).
Fields of papers citing papers by Bernard Michini
This network shows the impact of papers produced by Bernard Michini. 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 Bernard Michini. The network helps show where Bernard Michini may publish in the future.
Co-authorship network of co-authors of Bernard Michini
This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Michini. A scholar is included among the top collaborators of Bernard Michini 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 Bernard Michini. Bernard Michini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 13 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | Bayesian Nonparametric Inverse Reinforcement Learning | 5 |
| 6 | 94 | |
| 7 | 85 | |
| 8 | 20 |
About Bernard Michini
Bernard Michini is a scholar working on Aerospace Engineering, Hardware and Architecture and Statistics, Probability and Uncertainty, having authored 8 papers that have together received 270 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (2 papers), Reinforcement Learning in Robotics (2 papers) and Gaussian Processes and Bayesian Inference (2 papers). The work is most often cited by research in Aerospace Engineering (142 citations), Control and Systems Engineering (110 citations) and Computer Vision and Pattern Recognition (88 citations). Bernard Michini has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jonathan P. How, Mark Cutler, Nazım Kemal Üre, Matthew A. Vavrina, Joshua Redding, John Vian, Ali‐akbar Agha‐mohammadi and Thomas J. Walsh. Their work appears in journals such as IEEE Transactions on Robotics, DSpace@MIT (Massachusetts Institute of Technology) and AIAA Guidance, Navigation, and Control Conference.
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.