Jared Di Carlo
- Biomedical Engineering top 2%
- Robotic Locomotion and Control 6
- Prosthetics and Rehabilitation Robotics 5
- Muscle activation and electromyography studies 1
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- Robotic Mechanisms and Dynamics 1
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- Robotic Path Planning Algorithms 1
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization 1
- Mechanical Engineering top 10%
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- Soil Mechanics and Vehicle Dynamics 3
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- Logic, Reasoning, and Knowledge 1
- Co-authors
- Benjamin KatzSangbae KimGerardo BledtPatrick M. WensingMatthew J. PowellQuan NguyenLivio Robaldo
- Cited by
- Biomedical EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Semantics (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (2 papers)
- Partner nations
- United StatesItaly
In The Last Decade
Jared Di Carlo
7 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Biomedical Engineering 1.3k
- Control and Systems Engineering 616
- Computer Vision and Pattern Recognition 279
- Aerospace Engineering 239
- Mechanical Engineering 240
Countries citing papers authored by Jared Di Carlo
This map shows the geographic impact of Jared Di Carlo'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 Jared Di Carlo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Di Carlo more than expected).
Fields of papers citing papers by Jared Di Carlo
This network shows the impact of papers produced by Jared Di Carlo. 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 Jared Di Carlo. The network helps show where Jared Di Carlo may publish in the future.
Co-authorship network
The 7 scholars most cited alongside Jared Di Carlo, 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 | 2020 | 73 | |
| 2 | Mini Cheetah: A Platform for Pushing the Limits of Dynamic Quadruped Controlbreakdown → | 2019 | 354 |
| 3 | MIT Cheetah 3: Design and Control of a Robust, Dynamic Quadruped Robot | 2019 | 19 |
| 4 | 2019 | 95 | |
| 5 | Dynamic Locomotion in the MIT Cheetah 3 Through Convex Model-Predictive Controlbreakdown → | 2018 | 460 |
| 6 | MIT Cheetah 3: Design and Control of a Robust, Dynamic Quadruped Robotbreakdown → | 2018 | 467 |
| 7 | 2013 | 1 |
About Jared Di Carlo
Jared Di Carlo is a scholar working on Civil and Structural Engineering, Biomedical Engineering and Computational Theory and Mathematics, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robotic Locomotion and Control (6 papers), Prosthetics and Rehabilitation Robotics (5 papers), Soil Mechanics and Vehicle Dynamics (3 papers), Muscle activation and electromyography studies (1 paper), Robotic Mechanisms and Dynamics (1 paper), Logic, Reasoning, and Knowledge (1 paper), Robotics and Sensor-Based Localization (1 paper) and Robotic Path Planning Algorithms (1 paper). The work is most often cited by research in Biomedical Engineering (1.3k citations), Control and Systems Engineering (616 citations) and Computer Vision and Pattern Recognition (279 citations). Jared Di Carlo has collaborated with scholars based in United States and Italy. Frequent co-authors include Benjamin Katz, Sangbae Kim, Gerardo Bledt, Patrick M. Wensing, Matthew J. Powell, Quan Nguyen and Livio Robaldo. Their work appears in journals such as Journal of Semantics and DSpace@MIT (Massachusetts Institute of Technology).
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.