Jonathan Colen
Impact in
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- Pulsars and Gravitational Waves Research
- Astrophysical Phenomena and Observations
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- Micro and Nano Robotics
Papers in
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- Model Reduction and Neural Networks 2
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- Micro and Nano Robotics 2
- Co-authors
- Vincenzo Vitelli (5 shared papers)Margaret Lise Gardel (3 shared papers)S. M. Ransom (2 shared papers)Matthew T. Kerr (2 shared papers)Matteo Bachetti (2 shared papers)Anne M. Archibald (2 shared papers)Junjie Yang (1 shared paper)Manh Cuong Nguyen (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Machine Learning Science and Technology (1 paper)Physical review. B. (1 paper)Science Advances (1 paper)The Astrophysical Journal (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Jonathan Colen
12 papers receiving 346 citations
Peers
Comparison fields: 5 of 40
- Astronomy and Astrophysics 143
- Condensed Matter Physics 35
- Cell Biology 34
- Statistical and Nonlinear Physics 22
- Electronic, Optical and Magnetic Materials 31
Countries citing papers authored by Jonathan Colen
This map shows the geographic impact of Jonathan Colen'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 Colen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Colen more than expected).
Fields of papers citing papers by Jonathan Colen
This network shows the impact of papers produced by Jonathan Colen. 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 Colen. The network helps show where Jonathan Colen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Colen, 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 | 2021 | 146 | |
| 2 | 2021 | 73 | |
| 3 | 2017 | 54 | |
| 4 | 2024 | 40 | |
| 5 | 2020 | 13 | |
| 6 | 2024 | 8 | |
| 7 | PINT: High-precision pulsar timing analysis package | 2019 | 5 |
| 8 | 2022 | 5 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 5 | |
| 11 | 2025 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2026 | 0 |
About Jonathan Colen
Jonathan Colen is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics, Astronomy and Astrophysics, Radiation and Atomic and Molecular Physics, and Optics, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Micro and Nano Robotics (2 papers), Model Reduction and Neural Networks (2 papers), Advanced Materials and Mechanics (2 papers), Pulsars and Gravitational Waves Research (2 papers), Advanced Multi-Objective Optimization Algorithms (1 paper), Ocean Waves and Remote Sensing (1 paper), 2D Materials and Applications (1 paper) and Quantum, superfluid, helium dynamics (1 paper). The work is most often cited by research in Astronomy and Astrophysics (143 citations), Condensed Matter Physics (35 citations), Cell Biology (34 citations), Statistical and Nonlinear Physics (22 citations) and Electronic, Optical and Magnetic Materials (31 citations). Jonathan Colen has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Vincenzo Vitelli, Margaret Lise Gardel, S. M. Ransom, Matthew T. Kerr, Matteo Bachetti, Anne M. Archibald, Junjie Yang, Manh Cuong Nguyen, Gia-Wei Chern and Despina Louca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Machine Learning Science and Technology, Physical review. B., Science Advances and The Astrophysical Journal.
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.