Daniel Guo
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Speech Recognition and Synthesis
- Reinforcement Learning in Robotics
- Domain Adaptation and Few-Shot Learning
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- Multimodal Machine Learning Applications
Papers in
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- Natural Language Processing Techniques 1
- Reinforcement Learning in Robotics 1
- Artificial Intelligence in Games 1
- Topic Modeling 1
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- Numerical methods in inverse problems 1
- Co-authors
- Wen-tau Yih (1 shared paper)Geoffrey Zweig (1 shared paper)Gökhan Tür (1 shared paper)Ashkan Panahi (1 shared paper)Babak Hassibi (1 shared paper)Christos Thrampoulidis (1 shared paper)Martín Arjovsky (1 shared paper)Pablo Sprechmann (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)Chalmers Research (Chalmers University of Technology) (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Daniel Guo
3 papers receiving 125 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 26
- Signal Processing 12
- Issues, ethics and legal aspects 1
- Computational Mechanics 14
Countries citing papers authored by Daniel Guo
This map shows the geographic impact of Daniel Guo'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 Daniel Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Guo more than expected).
Fields of papers citing papers by Daniel Guo
This network shows the impact of papers produced by Daniel Guo. 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 Daniel Guo. The network helps show where Daniel Guo may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
About Daniel Guo
Daniel Guo is a scholar working on Artificial Intelligence, Mathematical Physics, Computer Vision and Pattern Recognition, Computational Mechanics and Applied Mathematics, having authored 3 papers that have together received 134 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (1 paper), Reinforcement Learning in Robotics (1 paper), Mathematical Analysis and Transform Methods (1 paper), Artificial Intelligence in Games (1 paper), Topic Modeling (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Numerical methods in inverse problems (1 paper) and Human Pose and Action Recognition (1 paper). The work is most often cited by research in Artificial Intelligence (111 citations), Computer Vision and Pattern Recognition (26 citations), Signal Processing (12 citations), Issues, ethics and legal aspects (1 citation) and Computational Mechanics (14 citations). Daniel Guo has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Wen-tau Yih, Geoffrey Zweig, Gökhan Tür, Ashkan Panahi, Babak Hassibi, Christos Thrampoulidis, Martín Arjovsky, Pablo Sprechmann, Bilal Piot and Alexander Pritzel. Their work appears in journals such as arXiv (Cornell University) and Chalmers Research (Chalmers University 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.