Matthew Johnson‐Roberson

3.7k total citations
96 papers, 2.4k citations indexed

About

Matthew Johnson‐Roberson is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Matthew Johnson‐Roberson has authored 96 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 43 papers in Aerospace Engineering and 34 papers in Ocean Engineering. Recurrent topics in Matthew Johnson‐Roberson's work include Robotics and Sensor-Based Localization (41 papers), Underwater Vehicles and Communication Systems (34 papers) and Advanced Vision and Imaging (17 papers). Matthew Johnson‐Roberson is often cited by papers focused on Robotics and Sensor-Based Localization (41 papers), Underwater Vehicles and Communication Systems (34 papers) and Advanced Vision and Imaging (17 papers). Matthew Johnson‐Roberson collaborates with scholars based in United States, Australia and United Kingdom. Matthew Johnson‐Roberson's co-authors include Oscar Pizarro, Stefan B. Williams, Ian Mahon, Ram Vasudevan, Mitch Bryson, Ariell Friedman, Katherine A. Skinner, Ryan M. Eustice, Jon Henderson and Xiaoxiao Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Matthew Johnson‐Roberson

96 papers receiving 2.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthew Johnson‐Roberson United States 26 999 754 641 448 373 96 2.4k
Hui Kong China 35 1.8k 1.8× 565 0.7× 377 0.6× 324 0.7× 420 1.1× 130 3.8k
Jingbin Liu China 30 544 0.5× 1.0k 1.4× 321 0.5× 249 0.6× 222 0.6× 136 3.2k
Gabriel Oliver Spain 27 1.3k 1.3× 1.2k 1.6× 1.3k 2.1× 104 0.2× 320 0.9× 116 2.6k
Charles Toth United States 24 407 0.4× 1.1k 1.4× 371 0.6× 236 0.5× 95 0.3× 183 2.5k
David Wettergreen United States 27 818 0.8× 892 1.2× 337 0.5× 143 0.3× 76 0.2× 157 2.4k
Zhengxia Zou China 34 3.0k 3.0× 781 1.0× 343 0.5× 317 0.7× 72 0.2× 113 5.4k
Wen Yang China 36 2.3k 2.3× 1.3k 1.8× 401 0.6× 576 1.3× 99 0.3× 260 4.9k
Stefan B. Williams Australia 41 2.1k 2.1× 1.9k 2.5× 1.5k 2.3× 1.2k 2.8× 1.1k 3.0× 155 5.3k
Matthew Dunbabin Australia 22 405 0.4× 327 0.4× 892 1.4× 167 0.4× 250 0.7× 85 2.3k
S. Negahdaripour United States 28 2.4k 2.4× 1.8k 2.4× 906 1.4× 131 0.3× 460 1.2× 151 3.7k

Countries citing papers authored by Matthew Johnson‐Roberson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Matthew Johnson‐Roberson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Johnson‐Roberson. A scholar is included among the top collaborators of Matthew Johnson‐Roberson 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 Matthew Johnson‐Roberson. Matthew Johnson‐Roberson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Johnson‐Roberson, Matthew, et al.. (2024). Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching. 15047–15053. 4 indexed citations
2.
Mangelson, Joshua G., et al.. (2024). RecGS: Removing Water Caustic With Recurrent Gaussian Splatting. IEEE Robotics and Automation Letters. 10(1). 668–675. 5 indexed citations
3.
Johnson‐Roberson, Matthew, et al.. (2024). Simultaneous Geometry and Pose Estimation of Held Objects Via 3D Foundation Models. IEEE Robotics and Automation Letters. 9(12). 11818–11825. 1 indexed citations
4.
Johnson‐Roberson, Matthew, et al.. (2024). Unifying Representation and Calibration With 3D Foundation Models. IEEE Robotics and Automation Letters. 9(10). 8953–8960. 1 indexed citations
5.
Yang, Niankai, Chao Shen, Ziyou Song, Matthew Johnson‐Roberson, & Jing Sun. (2023). Robust Energy-Optimal Control for 3-D Path-Following of Autonomous Underwater Vehicles Under Ocean Currents. IEEE Transactions on Control Systems Technology. 32(2). 680–687. 6 indexed citations
6.
Johnson‐Roberson, Matthew, et al.. (2023). CLONeR: Camera-Lidar Fusion for Occupancy Grid-Aided Neural Representations. IEEE Robotics and Automation Letters. 8(5). 2812–2819. 17 indexed citations
7.
Johnson‐Roberson, Matthew, et al.. (2023). Beyond NeRF Underwater: Learning Neural Reflectance Fields for True Color Correction of Marine Imagery. IEEE Robotics and Automation Letters. 8(10). 6467–6474. 17 indexed citations
8.
Yang, Niankai, Dongsik Chang, Matthew Johnson‐Roberson, & Jing Sun. (2022). Energy-Optimal Control for Autonomous Underwater Vehicles Using Economic Model Predictive Control. IEEE Transactions on Control Systems Technology. 30(6). 2377–2390. 36 indexed citations
9.
Walter, Matthew R., et al.. (2022). Towards Automated Sample Collection and Return in Extreme Underwater Environments. Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community). 2. 1351–1385. 9 indexed citations
10.
Chang, Dongsik, Matthew Johnson‐Roberson, & Jing Sun. (2022). An Active Perception Framework for Autonomous Underwater Vehicle Navigation Under Sensor Constraints. IEEE Transactions on Control Systems Technology. 30(6). 2301–2316. 13 indexed citations
11.
Johnson‐Roberson, Matthew, et al.. (2022). Learning Cross-Scale Visual Representations for Real-Time Image Geo-Localization. IEEE Robotics and Automation Letters. 7(2). 5087–5094. 5 indexed citations
12.
Yao, Yu, Ella Atkins, Matthew Johnson‐Roberson, Ram Vasudevan, & Xiaoxiao Du. (2021). BiTraP: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation. IEEE Robotics and Automation Letters. 6(2). 1463–1470. 123 indexed citations
13.
Du, Xiaoxiao, Ram Vasudevan, & Matthew Johnson‐Roberson. (2020). Unsupervised Pedestrian Pose Prediction: A Deep Predictive Coding Network-Based Approach for Autonomous Vehicle Perception. IEEE Robotics & Automation Magazine. 27(2). 129–138. 4 indexed citations
14.
Vasudevan, Ram, et al.. (2020). Low Latency Trajectory Predictions for Interaction Aware Highway Driving. IEEE Robotics and Automation Letters. 5(4). 5456–5463. 1 indexed citations
15.
Vasudevan, Ram, et al.. (2019). PedX: Benchmark Dataset for Metric 3-D Pose Estimation of Pedestrians in Complex Urban Intersections. IEEE Robotics and Automation Letters. 4(2). 1940–1947. 45 indexed citations
16.
Bu, Fan, Trinh Le, Xiaoxiao Du, Ram Vasudevan, & Matthew Johnson‐Roberson. (2019). Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection Based on Planar LiDAR and Monocular Images. IEEE Robotics and Automation Letters. 5(2). 1626–1633. 23 indexed citations
17.
Vasudevan, Ram, et al.. (2019). Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments. IEEE Robotics and Automation Letters. 4(2). 2235–2241. 83 indexed citations
18.
Johnson‐Roberson, Matthew, et al.. (2019). Integration, Calibration, and Experimental Verification of a Speed Sensor for Swimming Animals. IEEE Sensors Journal. 19(10). 3616–3625. 14 indexed citations
19.
Kaess, Michael, et al.. (2018). Pose-Graph SLAM Using Forward-Looking Sonar. IEEE Robotics and Automation Letters. 3(3). 2330–2337. 81 indexed citations
20.
Johnson‐Roberson, Matthew, et al.. (2018). SilhoNet: An RGB Method for 3D Object Pose Estimation and Grasp Planning.. arXiv (Cornell University). 5 indexed citations

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.

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