Andrey Logvinov
Algorithms & Complexity · 2012–2014
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Algorithms & Complexity — 11 citations into it
- Information Retrieval & Search — 11 citations into it; #306 of 1,022 by trust here, #492 by citations
- Signal Processing — 9 citations into it; #1,801 of 7,572 by trust here, #2,525 by citations
- Computer Vision and Pattern Recognition — 8 citations into it; #9,837 of 21,575 by trust here, #13,269 by citations
- Artificial Intelligence — 7 citations into it; #15,405 of 35,345 by trust here, #19,873 by citations
- Computational Theory and Mathematics — 5 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it; #1,050 of 1,584 by trust here, #1,084 by citations
Whom Andrey Logvinov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Aurenhammer
- Edgar Chávez
- Gonzalo Navarro
- Olivier Beaumont
- Jon M. Kleinberg
- Sunil Arya
- Eric Sadit Tellez
- Anne-Marie Kermarrec
Who trusts Andrey Logvinov overall
- Alexander Ponomarenko
- Yury Malkov
- Bilegsaikhan Naidan
- Yu A. Malkov
- Guillermo Ruiz
- Dmitry A. Yashunin
- Ben Harwood
- Augustus Odena
- Edgar Chávez
Papers from Andrey Logvinov's perspective
Ordered by how strongly the researchers Andrey Logvinov trusts endorse each paper. Same corpus, a different order for every researcher.
- Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
- The small-world phenomenon: an algorithmic perspective
- Approximate nearest neighbor queries in fixed dimensions
- Multidimensional binary search trees used for associative searching
- Collective dynamics of ‘small-world’ networks
- Similarity Search in High Dimensions via Hashing
- An optimal algorithm for approximate nearest neighbor searching fixed dimensions
- Succinct nearest neighbor search
- Scalable Distributed Algorithm for Approximate Nearest Neighbor Search Problem in High Dimensional General Metric Spaces
- Effective Proximity Retrieval by Ordering Permutations