Michael Trentini
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization 22
- Military Defense Systems Analysis 4
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- Robotic Path Planning Algorithms 20
- Ocean Engineering top 5%
- Underwater Vehicles and Communication Systems 4
- Geology top 10%
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- Robotic Locomotion and Control 7
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- Modular Robots and Swarm Intelligence 4
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- Distributed Control Multi-Agent Systems 4
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- Target Tracking and Data Fusion in Sensor Networks 4
- Cited by
- Aerospace EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- The International Journal of Robotics Research (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Journal of Guidance Control and Dynamics (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Michael Trentini
42 papers receiving 766 citations
Peers
Comparison fields: 5 of 57
- Aerospace Engineering 495
- Computer Vision and Pattern Recognition 357
- Control and Systems Engineering 205
- Ocean Engineering 109
- Geology 36
Countries citing papers authored by Michael Trentini
This map shows the geographic impact of Michael Trentini'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 Michael Trentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Trentini more than expected).
Fields of papers citing papers by Michael Trentini
This network shows the impact of papers produced by Michael Trentini. 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 Michael Trentini. The network helps show where Michael Trentini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Trentini, 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 | 2016 | 1 | |
| 2 | 2015 | 2 | |
| 3 | 2015 | 3 | |
| 4 | 2014 | 48 | |
| 5 | 2014 | 36 | |
| 6 | 2014 | 58 | |
| 7 | 2013 | 0 | |
| 8 | 2012 | 21 | |
| 9 | 2012 | 2 | |
| 10 | 2011 | 3 | |
| 11 | 2011 | 51 | |
| 12 | 2011 | 27 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 3 | |
| 16 | 2009 | 32 | |
| 17 | 2007 | 4 | |
| 18 | Arbiter--A simulator for the design and evaluation of patient monitoring displays | 2005 | 1 |
| 19 | 2004 | 0 | |
| 20 | 2002 | 13 |
About Michael Trentini
Michael Trentini is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 45 papers that have together received 814 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (22 papers), Robotic Path Planning Algorithms (20 papers), Robotic Locomotion and Control (7 papers), Modular Robots and Swarm Intelligence (4 papers), Distributed Control Multi-Agent Systems (4 papers), Military Defense Systems Analysis (4 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Aerospace Engineering (495 citations), Computer Vision and Pattern Recognition (357 citations) and Control and Systems Engineering (205 citations). Michael Trentini has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Sajad Saeedi, Howard Li, Mae Seto, Inna Sharf, Liam Paull, James Andrew Smith, Hong Li, J.K. Pieper, Ioannis Poulakakis and Tao Wang. Their work appears in journals such as The International Journal of Robotics Research, SAE technical papers on CD-ROM/SAE technical paper series and Journal of Guidance Control and Dynamics.
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.