Alexander Ponomarenko

Algorithms & Complexity · 2012–2015

A researcher in the Science corpus: 5 papers; trusts 36 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Algorithms & Complexity — 23 citations into it
• Information Retrieval & Search — 22 citations into it; #294 of 1,022 by trust here, #409 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #11,048 of 21,575 by trust here, #13,269 by citations
• Signal Processing — 19 citations into it; #2,082 of 7,572 by trust here, #2,525 by citations
• Artificial Intelligence — 15 citations into it; #17,590 of 35,345 by trust here, #19,873 by citations
• Statistical and Nonlinear Physics — 13 citations into it; #6,879 of 10,127 by trust here, #9,682 by citations
• Computational Theory and Mathematics — 10 citations into it; #8,695 of 12,182 by trust here, #11,462 by citations
• Computer Graphics and Computer-Aided Design — 9 citations into it; #1,295 of 1,584 by trust here, #1,084 by citations

Whom Alexander Ponomarenko trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yury Malkov
2. Edgar Chávez
3. Gonzalo Navarro
4. Jon M. Kleinberg
5. Leonid Boytsov
6. David G. Lowe
7. Hanan Samet
8. Franz Aurenhammer
9. Eric Sadit Tellez
10. Olivier Beaumont

Who trusts Alexander Ponomarenko overall

1. Yury Malkov
2. Dmitry A. Yashunin
3. Bilegsaikhan Naidan
4. Yu A. Malkov
5. Ben Harwood
6. Mengzhao Wang
7. Leonid Boytsov
8. Guillermo Ruiz
9. Augustus Odena
10. Edgar Chávez

Papers from Alexander Ponomarenko's perspective

Ordered by how strongly the researchers Alexander Ponomarenko trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Multidimensional binary search trees used for associative searching
3. ImageNet classification with deep convolutional neural networks
4. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Data structures and algorithms for nearest neighbor search in general metric spaces
7. Gradient-based learning applied to document recognition
8. An optimal algorithm for approximate nearest neighbor searching fixed dimensions
9. Approximate nearest neighbor queries in fixed dimensions
10. Similarity Search in High Dimensions via Hashing

Their papers

• Approximate nearest neighbor algorithm based on navigable small world graphs (2014) — 465 citations
• Growing Homophilic Networks Are Natural Navigable Small Worlds (2015) — 10 citations
• Query-Based Improvement Procedure and Self-Adaptive Graph Construction Algorithm for Approximate Nearest Neighbor Search (2015)
• Comparative Analysis of Data Structures for Approximate Nearest Neighbor Search (2014) — 26 citations
• Scalable Distributed Algorithm for Approximate Nearest Neighbor Search Problem in High Dimensional General Metric Spaces (2012) — 55 citations