Steven Ceron
Impact in
- Condensed Matter Physics top 5%
- Micro and Nano Robotics
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- Modular Robots and Swarm Intelligence
- Advanced Materials and Mechanics
Papers in
-
- Modular Robots and Swarm Intelligence 11
- Advanced Materials and Mechanics 5
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- Micro and Nano Robotics 11
- Co-authors
- Kirstin Petersen (11 shared papers)Metin Sitti (3 shared papers)Gaurav Gardi (3 shared papers)Wendong Wang (1 shared paper)Kevin O’Keeffe (1 shared paper)Robert F. Shepherd (2 shared papers)Itai Cohen (1 shared paper)C. K. Harnett (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (3 papers)Nature Communications (2 papers)Proceedings of the National Academy of Sciences (1 paper)Frontiers in Robotics and AI (1 paper)Biomimetics (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Steven Ceron
16 papers receiving 293 citations
Peers
Comparison fields: 5 of 54
- Condensed Matter Physics 185
- Mechanical Engineering 147
- Biomedical Engineering 139
- Computer Networks and Communications 61
- Statistical and Nonlinear Physics 20
Countries citing papers authored by Steven Ceron
This map shows the geographic impact of Steven Ceron'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 Steven Ceron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Ceron more than expected).
Fields of papers citing papers by Steven Ceron
This network shows the impact of papers produced by Steven Ceron. 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 Steven Ceron. The network helps show where Steven Ceron may publish in the future.
Co-authors
The 19 scholars most cited alongside Steven Ceron, 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 | 2022 | 119 | |
| 2 | 2023 | 42 | |
| 3 | 2023 | 35 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 17 | |
| 6 | 2021 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 9 | |
| 9 | 2018 | 9 | |
| 10 | 2022 | 5 | |
| 11 | 2024 | 5 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 |
About Steven Ceron
Steven Ceron is a scholar working on Mechanical Engineering, Condensed Matter Physics, Biomedical Engineering, Computer Networks and Communications and Cognitive Neuroscience, having authored 17 papers that have together received 296 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (11 papers), Micro and Nano Robotics (11 papers), Soft Robotics and Applications (7 papers), Advanced Materials and Mechanics (5 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Distributed Control Multi-Agent Systems (2 papers), Tactile and Sensory Interactions (1 paper) and Nonlinear Dynamics and Pattern Formation (1 paper). The work is most often cited by research in Condensed Matter Physics (185 citations), Mechanical Engineering (147 citations), Biomedical Engineering (139 citations), Computer Networks and Communications (61 citations) and Statistical and Nonlinear Physics (20 citations). Steven Ceron has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Kirstin Petersen, Metin Sitti, Gaurav Gardi, Wendong Wang, Kevin O’Keeffe, Robert F. Shepherd, Itai Cohen, C. K. Harnett, James H. Pikul and Benjamin C. Mac Murray. Their work appears in journals such as IEEE Robotics and Automation Letters, Nature Communications, Proceedings of the National Academy of Sciences, Frontiers in Robotics and AI and Biomimetics.
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.