Maxim Raginsky

3.7k citations
103 papers · 2.0k · 1 hit paper · h-index 22

Impact in

Papers in

Maxim Raginsky

100 papers receiving 2.0k citations

Maxim Raginsky's Hit Papers

Locality-sensitive binary codes from shift-invariant kernels 2009 · 470 citations
4700+5+11Years since publication100200300400

Peers

Maxim Raginsky
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 724
  • Artificial Intelligence 695
  • Acoustics and Ultrasonics 16
  • Statistics and Probability 125
  • Management Science and Operations Research 187
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Sujay Sanghavi United States
Praneeth Netrapalli United States
Renato D. C. Monteiro United States
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Edo Liberty United States
Stéphane Boucheron France
Raghunandan Hulikal Keshavan United States
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Maxim Raginsky relative to Sujay Sanghavi United States Sujay Sanghavi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Maxim Raginsky

Since Specialization
Citations

This map shows the geographic impact of Maxim Raginsky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maxim Raginsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maxim Raginsky more than expected).

Fields of papers citing papers by Maxim Raginsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim Raginsky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maxim Raginsky. The network helps show where Maxim Raginsky may publish in the future.

Co-authors

The 25 scholars most cited alongside Maxim Raginsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maxim Raginsky Line = papers co-authored together Maxim Raginsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Locality-sensitive binary codes from shift-invariant kernels
Hit paper breakdown →
2009470
2 2009170
3 2013108
4 2010106
5 201670
6 201769
7 200165
8 201853
9 201644
10 201138
11 201138
12 201434
13 200532
14 201732
15 201629
16
Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization
200529
17 201228
18 200828
19 201527
20 200226

About Maxim Raginsky

Maxim Raginsky is a scholar working on Artificial Intelligence, Computer Networks and Communications, Management Science and Operations Research, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 103 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (19 papers), Distributed Sensor Networks and Detection Algorithms (16 papers), Advanced Bandit Algorithms Research (13 papers), Machine Learning and Algorithms (13 papers), Sparse and Compressive Sensing Techniques (11 papers), Economic theories and models (7 papers), Stochastic processes and financial applications (7 papers) and Stochastic Gradient Optimization Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (724 citations), Artificial Intelligence (695 citations), Acoustics and Ultrasonics (16 citations), Statistics and Probability (125 citations) and Management Science and Operations Research (187 citations). Maxim Raginsky has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include Svetlana Lazebnik, Rebecca M. Willett, Igal Sason, Aolin Xu, Alexander Rakhlin, Naci Saldı, Tamer Başar, Roummel F. Marcia, Angelia Nedich and Zachary T. Harmany. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, IEEE Transactions on Automatic Control, Dynamic Games and Applications and IEEE Transactions on Microwave Theory and Techniques.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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