Matthew Johnson‐Roberson
Impact in
- Geology top 1%
- 3D Surveying and Cultural Heritage
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- Advanced Vision and Imaging
- Image Enhancement Techniques
Papers in
-
- Advanced Vision and Imaging 17
- Advanced Image and Video Retrieval Techniques 9
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- Robotics and Sensor-Based Localization 41
- Co-authors
- Oscar Pizarro (26 shared papers)Stefan B. Williams (21 shared papers)Ian Mahon (9 shared papers)Ram Vasudevan (16 shared papers)Mitch Bryson (11 shared papers)Ariell Friedman (6 shared papers)Katherine A. Skinner (8 shared papers)Ryan M. Eustice (6 shared papers)
- Journals
- IEEE Robotics and Automation Letters (14 papers)PLoS ONE (5 papers)Journal of Field Robotics (4 papers)IEEE Transactions on Control Systems Technology (3 papers)IEEE Robotics & Automation Magazine (3 papers)
- Partner nations
- United StatesAustraliaSweden
In The Last Decade
Matthew Johnson‐Roberson
96 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Geology 288
- Computer Vision and Pattern Recognition 1.0k
- Ocean Engineering 650
- Oceanography 378
- Aerospace Engineering 759
Countries citing papers authored by Matthew Johnson‐Roberson
This map shows the geographic impact of Matthew Johnson‐Roberson'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 Matthew Johnson‐Roberson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Johnson‐Roberson more than expected).
Fields of papers citing papers by Matthew Johnson‐Roberson
This network shows the impact of papers produced by Matthew Johnson‐Roberson. 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 Matthew Johnson‐Roberson. The network helps show where Matthew Johnson‐Roberson may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Johnson‐Roberson, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 215 | |
| 2 | 2012 | 146 | |
| 3 | 2008 | 143 | |
| 4 | 2021 | 130 | |
| 5 | 2012 | 124 | |
| 6 | 2016 | 103 | |
| 7 | 2015 | 84 | |
| 8 | 2018 | 83 | |
| 9 | 2019 | 83 | |
| 10 | 2013 | 78 | |
| 11 | 2013 | 75 | |
| 12 | 2011 | 66 | |
| 13 | 2009 | 51 | |
| 14 | 2010 | 50 | |
| 15 | 2020 | 50 | |
| 16 | 2019 | 46 | |
| 17 | 2008 | 40 | |
| 18 | 2021 | 39 | |
| 19 | 2022 | 38 | |
| 20 | 2010 | 35 |
About Matthew Johnson‐Roberson
Matthew Johnson‐Roberson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ocean Engineering, Geology and Control and Systems Engineering, having authored 96 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (41 papers), Underwater Vehicles and Communication Systems (34 papers), Advanced Vision and Imaging (17 papers), 3D Surveying and Cultural Heritage (15 papers), Underwater Acoustics Research (12 papers), Autonomous Vehicle Technology and Safety (10 papers), Remote Sensing and LiDAR Applications (10 papers) and Advanced Image and Video Retrieval Techniques (9 papers). The work is most often cited by research in Geology (288 citations), Computer Vision and Pattern Recognition (1.0k citations), Ocean Engineering (650 citations), Oceanography (378 citations) and Aerospace Engineering (759 citations). Matthew Johnson‐Roberson has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Oscar Pizarro, Stefan B. Williams, Ian Mahon, Ram Vasudevan, Mitch Bryson, Ariell Friedman, Katherine A. Skinner, Ryan M. Eustice, Xiaoxiao Du and Jon Henderson. Their work appears in journals such as IEEE Robotics and Automation Letters, PLoS ONE, Journal of Field Robotics, IEEE Transactions on Control Systems Technology and IEEE Robotics & Automation 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.