Maxim Raginsky

3.7k citations
96 papers · 1.8k · 1 hit paper · h-index 23

Impact in

Papers in

Maxim Raginsky

93 papers receiving 1.8k citations

Maxim Raginsky's Hit Papers

Locality-sensitive binary codes from shift-invariant kernels 2009 · 419 citations
4190+5+11Years since publication100200300400

Peers

Maxim Raginsky
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 648
  • Artificial Intelligence 629
  • Acoustics and Ultrasonics 16
  • Computer Networks and Communications 302
  • Management Science and Operations Research 163
Replace Praneeth Netrapalli with:
Praneeth Netrapalli United States
Sujay Sanghavi United States
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Zaiwen Wen China
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Dimitris Achlioptas United States
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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 96 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 →
2009419
2 2009149
3 201098
4 201392
5 201764
6 200161
7 201651
8 202043
9
Information-theoretic analysis of generalization capability of learning algorithms
201738
10 201136
11 201635
12 201133
13 200530
14 201728
15 200826
16 201626
17
Estimation of Intrinsic Dimensionality Using High-Rate Vector Quantization
200525
18 201425
19 200224
20 200323

About Maxim Raginsky

Maxim Raginsky is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Wireless Communication Security Techniques (17 papers), Advanced Bandit Algorithms Research (13 papers), Distributed Sensor Networks and Detection Algorithms (12 papers), Machine Learning and Algorithms (12 papers), Sparse and Compressive Sensing Techniques (11 papers), Stochastic Gradient Optimization Techniques (8 papers), Optimization and Search Problems (7 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (648 citations), Artificial Intelligence (629 citations), Acoustics and Ultrasonics (16 citations), Computer Networks and Communications (302 citations) and Management Science and Operations Research (163 citations). Maxim Raginsky has collaborated with scholars based in United States, Türkiye and Israel. Frequent co-authors include Svetlana Lazebnik, Rebecca Willett, Aolin Xu, Igal Sason, Alexander Rakhlin, Roummel F. Marcia, Zachary T. Harmany, Angelia Nedić, Soomin Lee and Tamer Başar. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing, IEEE Transactions on Microwave Theory and Techniques and Biological Cybernetics.

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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