Alexander Bernstein

408 total citations
30 papers, 132 citations indexed

About

Alexander Bernstein is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Alexander Bernstein has authored 30 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Alexander Bernstein's work include Face and Expression Recognition (8 papers), Neural Networks and Applications (7 papers) and Topological and Geometric Data Analysis (6 papers). Alexander Bernstein is often cited by papers focused on Face and Expression Recognition (8 papers), Neural Networks and Applications (7 papers) and Topological and Geometric Data Analysis (6 papers). Alexander Bernstein collaborates with scholars based in Russia, United Arab Emirates and United Kingdom. Alexander Bernstein's co-authors include Evgeny Burnaev, Maxim Sharaev, Alexey Artemov, Yury Yanovich, Almira Kustubayeva, Andrzej Cichocki, Amal Bouzid, Marie Arsalidou, Mikhail S. Gelfand and Hamid Alhaj and has published in prestigious journals such as PLoS ONE, Information Sciences and PeerJ.

In The Last Decade

Alexander Bernstein

29 papers receiving 130 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alexander Bernstein Russia 6 49 42 30 14 13 30 132
Pankaj Kumar Mishra India 6 48 1.0× 26 0.6× 38 1.3× 30 2.1× 5 0.4× 14 137
Olivier J. Hénaff United Kingdom 5 60 1.2× 70 1.7× 67 2.2× 7 0.5× 6 0.5× 9 162
Iris A. M. Huijben Netherlands 8 43 0.9× 18 0.4× 44 1.5× 12 0.9× 2 0.2× 16 147
Sebastian Weichwald Germany 7 46 0.9× 9 0.2× 77 2.6× 13 0.9× 2 0.2× 10 152
Faizal Hajamohideen United Kingdom 5 78 1.6× 32 0.8× 24 0.8× 26 1.9× 2 0.2× 17 175
Shelly Sheynin Israel 3 55 1.1× 26 0.6× 9 0.3× 8 0.6× 9 0.7× 3 97
Chester Holtz United States 8 36 0.7× 10 0.2× 23 0.8× 4 0.3× 2 0.2× 14 131
Konstantinos Lazaros Greece 6 48 1.0× 11 0.3× 14 0.5× 10 0.7× 3 0.2× 12 185
Bingxin Xu China 7 69 1.4× 59 1.4× 12 0.4× 4 0.3× 5 0.4× 25 139
Swaroop Pophale United States 6 19 0.4× 10 0.2× 31 1.0× 7 0.5× 2 0.2× 20 203

Countries citing papers authored by Alexander Bernstein

Since Specialization
Citations

This map shows the geographic impact of Alexander Bernstein'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 Alexander Bernstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Bernstein more than expected).

Fields of papers citing papers by Alexander Bernstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Bernstein. 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 Alexander Bernstein. The network helps show where Alexander Bernstein may publish in the future.

Co-authorship network of co-authors of Alexander Bernstein

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Bernstein. A scholar is included among the top collaborators of Alexander Bernstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Bernstein. Alexander Bernstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Карпов, О Э, et al.. (2024). Knowledge-informed randomized machine learning and data fusion for anomaly areas detection in multimodal 3D images. Information Sciences. 686. 121354–121354. 2 indexed citations
2.
Illarionova, Svetlana, Rifat Hamoudi, Alexander Bernstein, et al.. (2024). A hierarchical algorithm with randomized learning for robust tissue segmentation and classification in digital pathology. Information Sciences. 686. 121358–121358. 1 indexed citations
3.
Hamoudi, Rifat, Hamid Alhaj, Bashar Issa, et al.. (2023). Autoencoders with deformable convolutions for latent representation of EEG spectrograms in classification tasks. 39–39. 1 indexed citations
4.
Bouzid, Amal, Hamid Alhaj, Almira Kustubayeva, et al.. (2023). Integrative bioinformatics and artificial intelligence analyses of transcriptomics data identified genes associated with major depressive disorders including NRG1. Neurobiology of Stress. 26. 100555–100555. 8 indexed citations
5.
6.
Burnaev, Evgeny & Alexander Bernstein. (2021). Functional Dimension Reduction in Predictive Modeling. Journal of Communications Technology and Electronics. 66(6). 745–753. 1 indexed citations
7.
Bernstein, Alexander, et al.. (2021). Artificial Text Detection via Examining the Topology of Attention Maps. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 635–649. 13 indexed citations
8.
9.
Sharaev, Maxim, et al.. (2018). Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics. 308–314. 7 indexed citations
10.
Bernstein, Alexander & Evgeny Burnaev. (2018). Reinforcement learning in computer vision. 58–58. 15 indexed citations
11.
Bernstein, Alexander, et al.. (2018). Kernel Regression on Manifold Valued Data. 120–129. 6 indexed citations
12.
Bernstein, Alexander, et al.. (2018). Conformal prediction in manifold learning. 234–253.
13.
Bernstein, Alexander, et al.. (2017). High-Dimensional Density Estimation for Data Mining Tasks. 523–530. 1 indexed citations
14.
Bernstein, Alexander, et al.. (2017). Machine Learning in Appearance-Based Robot Self-Localization. 106–112. 3 indexed citations
15.
Bernstein, Alexander. (2017). Manifold learning in machine vision and robotics. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10253. 102530G–102530G. 4 indexed citations
16.
Bernstein, Alexander. (2017). Machine vision and appearance based learning. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10341. 103411O–103411O. 2 indexed citations
17.
Bernstein, Alexander, et al.. (2017). Nonlinear multi-output regression on unknown input manifold. Annals of Mathematics and Artificial Intelligence. 81(1-2). 209–240. 5 indexed citations
18.
Bernstein, Alexander, et al.. (2016). Regression on High-Dimensional Inputs. 17. 732–739. 1 indexed citations
19.
Bernstein, Alexander, et al.. (2014). Dimensionality Reduction in Statistical Learning. 7. 330–335. 3 indexed citations
20.
Bernstein, Alexander, et al.. (2013). Tangent bundle Manifold Learning for image analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9067. 906720–906720. 4 indexed citations

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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