Jonathan Kelly

2.1k total citations · 1 hit paper
54 papers, 1.1k citations indexed

About

Jonathan Kelly is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Jonathan Kelly has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 25 papers in Aerospace Engineering and 12 papers in Control and Systems Engineering. Recurrent topics in Jonathan Kelly's work include Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (17 papers) and Robotic Path Planning Algorithms (9 papers). Jonathan Kelly is often cited by papers focused on Robotics and Sensor-Based Localization (21 papers), Advanced Vision and Imaging (17 papers) and Robotic Path Planning Algorithms (9 papers). Jonathan Kelly collaborates with scholars based in Canada, United States and Croatia. Jonathan Kelly's co-authors include Gaurav S. Sukhatme, Jonathan Binney, Marcus A. Brubaker, Tristan Aumentado‐Armstrong, Alex Levinshtein, Igor Gilitschenski, Mrinal Kalakrishnan, Konstantinos G. Derpanis, Stefan Schaal and Timothy D. Barfoot and has published in prestigious journals such as Scientific Reports, The International Journal of Robotics Research and IEEE Transactions on Robotics.

In The Last Decade

Jonathan Kelly

51 papers receiving 1.0k citations

Hit Papers

Visual-Inertial Sensor Fusion: Localization, Mapping and ... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration
    2010 408 citations Jonathan Kelly, Gaurav S. Sukhatme The International Journal of Robotics Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Kelly Canada 16 692 574 254 142 124 54 1.1k
Sören Schwertfeger China 18 745 1.1× 630 1.1× 130 0.5× 114 0.8× 55 0.4× 77 1.1k
Frank Mascarich United States 16 724 1.0× 634 1.1× 104 0.4× 158 1.1× 107 0.9× 25 999
Sungjoon Choi South Korea 17 301 0.4× 490 0.9× 171 0.7× 236 1.7× 140 1.1× 62 1.0k
Slawomir Grzonka Germany 11 841 1.2× 692 1.2× 232 0.9× 176 1.2× 40 0.3× 13 1.1k
Viktor Larsson Sweden 20 777 1.1× 890 1.6× 348 1.4× 107 0.8× 63 0.5× 81 1.6k
Jing Yuan China 23 679 1.0× 819 1.4× 172 0.7× 392 2.8× 125 1.0× 103 1.4k
Michel Devy France 20 657 0.9× 776 1.4× 157 0.6× 75 0.5× 54 0.4× 113 1.2k
J.-S. Gutmann Japan 16 1.0k 1.5× 872 1.5× 349 1.4× 174 1.2× 191 1.5× 17 1.4k
Korbinian Schmid Germany 10 754 1.1× 631 1.1× 132 0.5× 288 2.0× 226 1.8× 14 1.2k
David Droeschel Germany 20 629 0.9× 587 1.0× 109 0.4× 208 1.5× 127 1.0× 33 1.0k

Countries citing papers authored by Jonathan Kelly

Since Specialization
Citations

This map shows the geographic impact of Jonathan Kelly'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 Jonathan Kelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Kelly more than expected).

Fields of papers citing papers by Jonathan Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Kelly. 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 Jonathan Kelly. The network helps show where Jonathan Kelly may publish in the future.

Co-authorship network of co-authors of Jonathan Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Kelly. A scholar is included among the top collaborators of Jonathan Kelly 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 Jonathan Kelly. Jonathan Kelly 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.
2.
Petrović, Ivan, et al.. (2024). Generative Graphical Inverse Kinematics. IEEE Transactions on Robotics. 41. 1002–1018. 3 indexed citations
3.
Kelly, Jonathan, et al.. (2024). Multimodal and Force-Matched Imitation Learning With a See-Through Visuotactile Sensor. IEEE Transactions on Robotics. 41. 946–959. 3 indexed citations
4.
Cheng, Qilong, et al.. (2023). Extrinsic Calibration of 2D Millimetre-Wavelength Radar Pairs Using Ego-Velocity Estimates. 559–565. 3 indexed citations
5.
Aumentado‐Armstrong, Tristan, Konstantinos G. Derpanis, Jonathan Kelly, et al.. (2023). SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields. 20669–20679. 52 indexed citations
6.
Liu, Xiaoyun, et al.. (2022). Capsule robot pose and mechanism state detection in ultrasound using attention-based hierarchical deep learning. Scientific Reports. 12(1). 21130–21130. 11 indexed citations
7.
Grover, Abhinav, et al.. (2022). Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Network. arXiv (Cornell University). 15 indexed citations
8.
Wu, Yilun, et al.. (2019). The Phoenix Drone: An Open-Source Dual-Rotor Tail-Sitter Platform for Research and Education. arXiv (Cornell University). 5330–5336. 7 indexed citations
9.
Kelly, Jonathan, et al.. (2018). How to Train a CAT: Learning Canonical Appearance Transformations for Direct Visual Localization Under Illumination Change. IEEE Robotics and Automation Letters. 3(3). 2447–2454. 16 indexed citations
10.
Kelly, Jonathan, et al.. (2018). Inferring sun direction to improve visual odometry: A deep learning approach. The International Journal of Robotics Research. 37(9). 996–1016. 3 indexed citations
11.
Tian, Yulun, et al.. (2018). Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection. 13 indexed citations
12.
Kelly, Jonathan, et al.. (2017). DPC-Net: Deep Pose Correction for Visual Localization. IEEE Robotics and Automation Letters. 3(3). 2424–2431. 29 indexed citations
13.
Kelly, Jonathan, et al.. (2015). Vision-Based Collision Avoidance for Personal Aerial Vehicles Using Dynamic Potential Fields. 297–304. 9 indexed citations
14.
15.
Kelly, Jonathan, Nicholas Roy, & Gaurav S. Sukhatme. (2014). Determining the Time Delay Between Inertial and Visual Sensor Measurements. IEEE Transactions on Robotics. 30(6). 1514–1523. 26 indexed citations
16.
Pástor, Peter, Mrinal Kalakrishnan, Jonathan Binney, et al.. (2013). Learning task error models for manipulation. 2612–2618. 21 indexed citations
17.
Kelly, Jonathan & Gaurav S. Sukhatme. (2010). Visual-Inertial Sensor Fusion: Localization, Mapping and Sensor-to-Sensor Self-calibration. The International Journal of Robotics Research. 30(1). 56–79. 408 indexed citations breakdown →
18.
Smith, Ryan N., Jonathan Kelly, Yi Chao, Burton H. Jones, & Gaurav S. Sukhatme. (2010). Towards the Improvement of Autonomous Glider Navigational Accuracy Through the Use of Regional Ocean Models. 597–606. 25 indexed citations
19.
Kelly, Jonathan, Jonathan Binney, Arvind Pereira, Omair Khan, & Gaurav S. Sukhatme. (2008). Just Add Wheels: Leveraging Commodity Laptop Hardware for Robotics and AI Education. National Conference on Artificial Intelligence. 4 indexed citations
20.
Scott, Jonathan, et al.. (1996). New Method of Characterizing Drive Linearity. Journal of the Audio Engineering Society. 44(4). 258–265. 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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