What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- World Wide Web
Internet privacy, World Wide Web, Mobile apps, Privacy software and Information privacy are his primary areas of study.
His Location sharing study, which is part of a larger body of work in Internet privacy, is frequently linked to Installation, bridging the gap between disciplines.
His World Wide Web study frequently links to related topics such as Data science.
His Mobile apps study incorporates themes from Sentiment analysis, Information design and Topic model.
His research integrates issues of Crowdsourcing and Mobile computing in his study of Privacy software.
His study in the field of Privacy by Design also crosses realms of Nudge theory.
His most cited work include:
- Modeling Supply Chain Dynamics: A Multiagent Approach (747 citations)
- Learning to detect phishing emails (473 citations)
- A framework of energy efficient mobile sensing for automatic user state recognition (440 citations)
What are the main themes of his work throughout his whole career to date?
Norman Sadeh mainly focuses on Internet privacy, World Wide Web, Privacy policy, Information privacy and Supply chain.
His work on Privacy software and Location sharing as part of general Internet privacy research is often related to Set and Nudge theory, thus linking different fields of science.
His studies in World Wide Web integrate themes in fields like Key and Usability.
His biological study spans a wide range of topics, including Cluster analysis and Social network.
His work in the fields of Information privacy, such as Privacy by Design, intersects with other areas such as Notice.
Norman Sadeh interconnects Procurement and Competition, Microeconomics in the investigation of issues within Supply chain.
He most often published in these fields:
- Internet privacy (32.20%)
- World Wide Web (24.58%)
- Privacy policy (13.98%)
What were the highlights of his more recent work (between 2015-2021)?
- Internet privacy (32.20%)
- Privacy policy (13.98%)
- Information privacy (11.86%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Internet privacy, Privacy policy, Information privacy, World Wide Web and Artificial intelligence.
His studies link Social media with Internet privacy.
His research integrates issues of Crowdsourcing, Baseline, Usability and Question answering in his study of Privacy policy.
End user, Taxonomy and Multimedia is closely connected to Control in his research, which is encompassed under the umbrella topic of Information privacy.
His work on Mobile apps and Semantic Web as part of general World Wide Web study is frequently linked to Composition, therefore connecting diverse disciplines of science.
The various areas that he examines in his Artificial intelligence study include Task and Natural language processing.
Between 2015 and 2021, his most popular works were:
- Nudges for Privacy and Security: Understanding and Assisting Users’ Choices Online (140 citations)
- Stress Test Evaluation for Natural Language Inference (134 citations)
- Follow My Recommendations: A Personalized Privacy Assistant for Mobile App Permissions. (98 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- World Wide Web
Norman Sadeh focuses on Internet privacy, Information privacy, Privacy by Design, Privacy policy and Mobile apps.
His Internet privacy research spans across into areas like Information technology, Data collection, Set and Nudge theory.
His work in Information privacy addresses subjects such as Control, which are connected to disciplines such as Opt-in email, Ubiquitous computing and Opt-out.
His research ties Privacy software and Privacy policy together.
In his research, Scalability is intimately related to Crowdsourcing, which falls under the overarching field of Privacy software.
The subject of his Mobile apps research is within the realm of World Wide Web.
This overview was generated by a machine learning system which analysed the scientist’s
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