R. Schnell
Artificial Intelligence · 2003–2014
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #8,967 of 35,345 by trust here, #20,377 by citations
- Management Science and Operations Research — 11 citations into it; #2,760 of 11,946 by trust here, #6,314 by citations
- Computer Networks and Communications — 10 citations into it; #8,364 of 9,886 by trust here, #8,191 by citations
- Algorithms & Complexity — 5 citations into it; #464 of 516 by trust here, #435 by citations
Whom R. Schnell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Christen
- Tobias Bachteler
- Andrew McCallum
- Adam Kirsch
- Andrei Z. Broder
- Michael M. Mitzenmacher
- Jörg Reiher
- Sophia Rabe-Hesketh
- Hugo Krawczyk
- Kamal Nigam
Who trusts R. Schnell overall
- Mehmet Kuzu
- Peter Christen
- Luca Bonomi
- Frank Niedermeyer
- Stephen Hardy
- Murat Kantarcioglu
- Joseph W. Sakshaug
- Dinusha Vatsalan
- Simone Steinmetzer
- Mentari Djatmiko
Papers from R. Schnell's perspective
Ordered by how strongly the researchers R. Schnell trusts endorse each paper. Same corpus, a different order for every researcher.
- A Constraint Satisfaction Cryptanalysis of Bloom Filters in Private Record Linkage
- Privacy-preserving record linkage using Bloom filters (BMC Medical Informatics Decis. Mak.)
- Summary cache: a scalable wide-area web cache sharing protocol
- Data quality and record linkage techniques
- Privacy-Preserving Record Linkage
- Research use of linked health data — a best practice protocol (Australian and New Zealand Journal of Public Health)
- Efficient clustering of high-dimensional data sets with application to reference matching (Knowledge Discovery and Data Mining)
- Space/time trade-offs in hash coding with allowable errors
- Less hashing, same performance: Building a better Bloom filter (Random Struct. Algorithms)
- A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication
Their papers
- A Novel Error-Tolerant Anonymous Linking Code (2011) — 84 citations
- Privacy-preserving record linkage using Bloom filters (2009) — 301 citations
- Cryptanalysis of Basic Bloom Filters Used for Privacy Preserving Record Linkage (2014) — 100 citations
- Efficient private record linkage of very large datasets (2013) — 9 citations
- Separating interviewer and sampling-point effects (2003) — 146 citations