Usman Qamar
Information Systems · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 10 citations into it; #3,727 of 8,771 by trust here, #6,501 by citations
- Computer Networks and Communications — 6 citations into it
- Artificial Intelligence — 5 citations into it; #18,343 of 35,345 by trust here, #29,412 by citations
Whom Usman Qamar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Usman Qamar overall
Papers from Usman Qamar's perspective
Ordered by how strongly the researchers Usman Qamar trusts endorse each paper. Same corpus, a different order for every researcher.
- Bitcoin: A Peer-to-Peer Electronic Cash System
- Using Emoticons to Reduce Dependency in Machine Learning Techniques for Sentiment Classification (Annual Meeting of the Association for Computational Linguistics)
- Sentiment Knowledge Discovery in Twitter Streaming Data (IFIP Working Conference on Database Semantics)
- An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends (BigData Congress [Services Society])
- Blockchain distributed ledger technologies for biomedical and health care applications (J. Am. Medical Informatics Assoc.)
- The Emergence of National Electronic Health Record Architectures in the United States and Australia: Models, Costs, and Questions
- An Overview of Smart Contract: Architecture, Applications, and Future Trends (2018 IEEE Intelligent Vehicles Symposium (IV))
- A Semantic Framework for the Security Analysis of Ethereum smart contracts (The post)
- Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability (Computational and Structural Biotechnology Journal)
- Blockchain technology, bitcoin, and Ethereum: A brief overview (2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH))
Their papers
- Using Blockchain for Electronic Health Records (2019) — 403 citations
- TOM: Twitter opinion mining framework using hybrid classification scheme (2014) — 333 citations
- Pakistan’s Water Economy : Running Dry (2008) — 192 citations