Luis C. Cobo
Impact in
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- Molecular Communication and Nanonetworks
- Wireless Body Area Networks
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- Reinforcement Learning in Robotics
- Speech Recognition and Synthesis
Papers in
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- Reinforcement Learning in Robotics 3
- Evolutionary Algorithms and Applications 1
- Adversarial Robustness in Machine Learning 1
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- Gene Regulatory Network Analysis 1
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- Ian F. Akyildiz (1 shared paper)Andrea L. Thomaz (3 shared papers)Charles L. Isbell (3 shared papers)Aaron D. Lanterman (1 shared paper)Andrew Trask (1 shared paper)Heiga Zen (1 shared paper)Oriol Vinyals (1 shared paper)Yutian Chen (1 shared paper)
- Journals
- Artificial Intelligence (1 paper)Nano Communication Networks (1 paper)arXiv (Cornell University) (1 paper)SMARTech Repository (Georgia Institute of Technology) (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Luis C. Cobo
5 papers receiving 165 citations
Peers
Comparison fields: 5 of 32
- Biomedical Engineering 123
- Artificial Intelligence 46
- Molecular Biology 84
- Signal Processing 12
- Computational Theory and Mathematics 11
Countries citing papers authored by Luis C. Cobo
This map shows the geographic impact of Luis C. Cobo'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 Luis C. Cobo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis C. Cobo more than expected).
Fields of papers citing papers by Luis C. Cobo
This network shows the impact of papers produced by Luis C. Cobo. 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 Luis C. Cobo. The network helps show where Luis C. Cobo may publish in the future.
Co-authors
The 17 scholars most cited alongside Luis C. Cobo, 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 | 2010 | 121 | |
| 2 | Sample-efficient adaptive text-to-speech | 2018 | 16 |
| 3 | 2014 | 15 | |
| 4 | 2012 | 15 | |
| 5 | 2013 | 10 |
About Luis C. Cobo
Luis C. Cobo is a scholar working on Artificial Intelligence, Molecular Biology, Control and Systems Engineering, Information Systems and Signal Processing, having authored 5 papers that have together received 177 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (1 paper), Evolutionary Algorithms and Applications (1 paper), Molecular Communication and Nanonetworks (1 paper), Adversarial Robustness in Machine Learning (1 paper), Gene Regulatory Network Analysis (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Biomedical Engineering (123 citations), Artificial Intelligence (46 citations), Molecular Biology (84 citations), Signal Processing (12 citations) and Computational Theory and Mathematics (11 citations). Luis C. Cobo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ian F. Akyildiz, Andrea L. Thomaz, Charles L. Isbell, Aaron D. Lanterman, Andrew Trask, Heiga Zen, Oriol Vinyals, Yutian Chen, Scott Reed and Nando de Freitas. Their work appears in journals such as Artificial Intelligence, Nano Communication Networks, arXiv (Cornell University) and SMARTech Repository (Georgia 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.