Daniel Hesslow
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Semantic Web and Ontologies
- Text Readability and Simplification
Papers in
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- Neural Networks and Reservoir Computing 2
- Natural Language Processing Techniques 1
- Topic Modeling 1
- Neural Networks and Applications 1
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- Sparse and Compressive Sensing Techniques 1
- Co-authors
- Niklas Muennighoff (1 shared paper)Ofir Press (1 shared paper)Colin Raffel (1 shared paper)Lintang Sutawika (1 shared paper)Jason Phang (1 shared paper)Stas Bekman (1 shared paper)Zheng Yong (1 shared paper)Teven Le Scao (1 shared paper)
- Journals
- Optics Express (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- FranceUnited StatesSouth Korea
In The Last Decade
Daniel Hesslow
3 papers receiving 22 citations
Peers
Comparison fields: 5 of 15
- Acoustics and Ultrasonics 1
- Artificial Intelligence 21
- Computer Vision and Pattern Recognition 6
- Software 1
- Information Systems 5
Countries citing papers authored by Daniel Hesslow
This map shows the geographic impact of Daniel Hesslow'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 Hesslow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hesslow more than expected).
Fields of papers citing papers by Daniel Hesslow
This network shows the impact of papers produced by Daniel Hesslow. 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 Hesslow. The network helps show where Daniel Hesslow may publish in the future.
Co-authors
The 21 scholars most cited alongside Daniel Hesslow, 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 Hesslow
Daniel Hesslow is a scholar working on Artificial Intelligence, Computational Mechanics, Acoustics and Ultrasonics, Electrical and Electronic Engineering and Infectious Diseases, having authored 3 papers that have together received 24 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (2 papers), Advanced Memory and Neural Computing (1 paper), Sparse and Compressive Sensing Techniques (1 paper), Random lasers and scattering media (1 paper), Natural Language Processing Techniques (1 paper), Topic Modeling (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Acoustics and Ultrasonics (1 citation), Artificial Intelligence (21 citations), Computer Vision and Pattern Recognition (6 citations), Software (1 citation) and Information Systems (5 citations). Daniel Hesslow has collaborated with scholars based in France, United States and South Korea. Frequent co-authors include Niklas Muennighoff, Ofir Press, Colin Raffel, Lintang Sutawika, Jason Phang, Stas Bekman, Zheng Yong, Teven Le Scao, Stella Biderman and Victor Sanh. Their work appears in journals such as Optics Express and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.