Jared Quincy Davis
- Control and Systems Engineering
- Computer Vision and Pattern Recognition
- Statistical and Nonlinear Physics
- Artificial Intelligence
- Mechanical Engineering
- Co-authors
- Christopher RéJacob VarleyJean-Jacques SlotineKrzysztof ChoromańskiPeter BailisIon StoicaJames ZouLingjiao Chen
- Topics
- Magnetic Bearings and Levitation Dynamics (1 paper)Advanced Graph Neural Networks (1 paper)Tensor decomposition and applications (1 paper)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- arXiv (Cornell University)Neural Information Processing Systems
- Partner nations
- United KingdomUnited States
In The Last Decade
Jared Quincy Davis
2 papers receiving 2 citations
Peers
Comparison fields: 5 of 5
- Control and Systems Engineering 1
- Computer Vision and Pattern Recognition 1
- Statistical and Nonlinear Physics 1
- Artificial Intelligence 1
- Mechanical Engineering 1
Countries citing papers authored by Jared Quincy Davis
This map shows the geographic impact of Jared Quincy Davis'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 Quincy Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared Quincy Davis more than expected).
Fields of papers citing papers by Jared Quincy Davis
This network shows the impact of papers produced by Jared Quincy Davis. 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 Quincy Davis. The network helps show where Jared Quincy Davis may publish in the future.
Co-authorship network of co-authors of Jared Quincy Davis
This figure shows the co-authorship network connecting the top 25 collaborators of Jared Quincy Davis. A scholar is included among the top collaborators of Jared Quincy Davis 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 Jared Quincy Davis. Jared Quincy Davis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | Catformer: Designing Stable Transformers via Sensitivity Analysis | 0 |
| 4 | CWY Parametrization for Scalable Learning of Orthogonal and Stiefel Matrices | 1 |
| 5 | Ode to an ODE | 1 |
About Jared Quincy Davis
Jared Quincy Davis is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 5 papers that have together received 2 indexed citations. Recurring topics across this work include Magnetic Bearings and Levitation Dynamics (1 paper), Advanced Graph Neural Networks (1 paper) and Tensor decomposition and applications (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (1 citation), Computer Vision and Pattern Recognition (1 citation) and Control and Systems Engineering (1 citation). Jared Quincy Davis has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Christopher Ré, Jacob Varley, Jean-Jacques Slotine, Krzysztof Choromański, Peter Bailis, Ion Stoica, James Zou, Lingjiao Chen, Vikas Sindhwani and Matei Zaharia. Their work appears in journals such as arXiv (Cornell University) and Neural Information Processing Systems.
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.