Daniel Cooper
Daniel Cooper publishes mostly in Computer Vision and Pattern Recognition, Sociology and Political Science and Information Systems, on topics such as Privacy, Security, and Data Protection, Blockchain Technology Applications and Security and Advanced Steganography and Watermarking Techniques.
- World rank
- #2,845,368 of 7,710,434 ranked researchers
- Rank in United Kingdom
- #196,239 of 367,258
- Works
- 24
- Citations
- 304
- Citations per work
- 12.7
What does Daniel Cooper research?
Daniel Cooper's work is mostly in Computer Science (39%), Social Sciences (21%), Psychology (6%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences938.8%
- Computer Science938.8%
- Everything else833.7%
- Social Sciences727.5%
- Social Sciences521.0%
- Psychology26.5%
- 1Computer Vision and Pattern Recognition23% of their works
- 2Sociology and Political Science14% of their works
- 3Information Systems8% of their works
- 4Artificial Intelligence8% of their works
- 5Social Psychology6% of their works
- 6Law6% of their works
Research topics
- Privacy, Security, and Data Protection
- Blockchain Technology Applications and Security
- Advanced Steganography and Watermarking Techniques
- Image and Object Detection Techniques
- Digital Media Forensic Detection
- Digitalization, Law, and Regulation
- Privacy-Preserving Technologies in Data
- Advanced Vision and Imaging
Which keywords describe Daniel Cooper's research?
The keywords of their largest research topics: Internet of Things, Deep Learning, Online Social Networks, Privacy Concerns, Blockchain, Smart Contracts, Artificial Intelligence and Data Protection.
- Stereo Vision
- Differential Privacy
- Steganography
- Line Detection
- Hough Transform
- Data Protection
- Smart Contracts
- Privacy Concerns
- Deep Learning
- Internet of Things
- Online Social Networks
- Blockchain
- Artificial Intelligence
- Digital Forensics
- Image Forgery Detection
- Reversible Data Embedding
- Depth Estimation
- Federated Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 18 words, with their numbers
- Internet of Things72 topics
- Deep Learning62 topics
- Online Social Networks61 topic
- Privacy Concerns61 topic
- Blockchain41 topic
- Smart Contracts41 topic
- Artificial Intelligence31 topic
- Data Protection31 topic
- Digital Forensics31 topic
- Hough Transform31 topic
- Image Forgery Detection31 topic
- Line Detection31 topic
- Reversible Data Embedding31 topic
- Steganography31 topic
- Depth Estimation21 topic
- Differential Privacy21 topic
- Federated Learning21 topic
- Stereo Vision21 topic
Where does Daniel Cooper work?
Daniel Cooper's main affiliation in the publication record is Open Data Institute, United Kingdom.
How many publications and citations does Daniel Cooper have?
OpenAlex counts 24 works and 304 citations for Daniel Cooper, an h-index of 8, ranking #2,845,368 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
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