Alex Bronstein

5.9k total citations · 1 hit paper
100 papers, 2.8k citations indexed

About

Alex Bronstein is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Alex Bronstein has authored 100 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 26 papers in Computational Mechanics and 16 papers in Signal Processing. Recurrent topics in Alex Bronstein's work include 3D Shape Modeling and Analysis (15 papers), Blind Source Separation Techniques (13 papers) and Image and Signal Denoising Methods (13 papers). Alex Bronstein is often cited by papers focused on 3D Shape Modeling and Analysis (15 papers), Blind Source Separation Techniques (13 papers) and Image and Signal Denoising Methods (13 papers). Alex Bronstein collaborates with scholars based in Israel, United States and Switzerland. Alex Bronstein's co-authors include Michael M. Bronstein, Raja Giryes, Christoph Strecha, Pascal Fua, Roee Litman, Eli Schwartz, Guillermo Sapiro, Ron Kimmel, Emanuele Rodolà and Or Litany and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Alex Bronstein

96 papers receiving 2.7k citations

Hit Papers

LDAHash: Improved Matching with Smaller Descriptors 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alex Bronstein Israel 28 1.8k 772 516 317 291 100 2.8k
Michael Lindenbaum Israel 27 1.9k 1.1× 616 0.8× 518 1.0× 411 1.3× 262 0.9× 93 3.0k
Raja Giryes Israel 24 1.4k 0.8× 788 1.0× 657 1.3× 125 0.4× 325 1.1× 107 2.5k
Emanuele Rodolà Italy 26 1.8k 1.0× 1.2k 1.5× 666 1.3× 472 1.5× 73 0.3× 82 3.2k
Nikos Komodakis France 26 2.6k 1.5× 352 0.5× 1.0k 2.0× 304 1.0× 546 1.9× 68 3.7k
R. Malladi United States 18 2.8k 1.6× 709 0.9× 405 0.8× 217 0.7× 409 1.4× 33 3.7k
Aaron Lefohn United States 30 2.0k 1.1× 884 1.1× 412 0.8× 149 0.5× 223 0.8× 65 4.1k
Nahum Kiryati Israel 35 2.8k 1.6× 569 0.7× 179 0.3× 401 1.3× 754 2.6× 115 3.9k
Michael Werman Israel 28 3.5k 1.9× 361 0.5× 478 0.9× 412 1.3× 775 2.7× 117 4.6k
Benjamin B. Kimia United States 33 3.4k 1.9× 953 1.2× 236 0.5× 343 1.1× 174 0.6× 112 4.3k
Xavier Bresson Switzerland 26 2.4k 1.4× 900 1.2× 437 0.8× 142 0.4× 573 2.0× 65 3.4k

Countries citing papers authored by Alex Bronstein

Since Specialization
Citations

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

Fields of papers citing papers by Alex Bronstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alex Bronstein

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Bronstein. A scholar is included among the top collaborators of Alex Bronstein 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 Alex Bronstein. Alex Bronstein 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.
Bronstein, Alex, et al.. (2025). Improving prediction accuracy in chimeric proteins with windowed multiple sequence alignment. Computational and Structural Biotechnology Journal. 27. 3292–3298.
2.
Bronstein, Alex, et al.. (2025). Machine Learning Inference of Stellar Properties Using Integrated Photometric and Spectroscopic Data. The Astrophysical Journal. 994(1). 110–110. 1 indexed citations
4.
Rosenberg, Aviv A., et al.. (2024). A dataset of alternately located segments in protein crystal structures. Scientific Data. 11(1). 783–783. 1 indexed citations
5.
Yaniv, Yael, et al.. (2024). Data-driven modeling of interrelated dynamical systems. Communications Physics. 7(1). 1 indexed citations
6.
Rosenberg, Aviv A., et al.. (2023). An amino-domino model described by a cross-peptide-bond Ramachandran plot defines amino acid pairs as local structural units. Proceedings of the National Academy of Sciences. 120(44). e2301064120–e2301064120. 7 indexed citations
7.
Cosmo, Luca, et al.. (2023). Guided diffusion for inverse molecular design. Nature Computational Science. 3(10). 873–882. 46 indexed citations
8.
Bronstein, Alex, et al.. (2023). Water stabilizes an alternate turn conformation in horse heart myoglobin. Scientific Reports. 13(1). 6094–6094. 2 indexed citations
9.
Rosenberg, Aviv A., et al.. (2022). Machine learning approaches demonstrate that protein structures carry information about their genetic coding. Scientific Reports. 12(1). 21968–21968. 1 indexed citations
10.
Rosenberg, Aviv A., et al.. (2022). Codon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codon. Nature Communications. 13(1). 2815–2815. 24 indexed citations
11.
Michailovich, Oleg, et al.. (2021). PILOT: Physics-Informed Learned Optimized Trajectories for Accelerated MRI. 1(April 2021). 1–23. 31 indexed citations
12.
Karnieli, Aviv, et al.. (2021). Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals. arXiv (Cornell University). 2 indexed citations
13.
Ovsjanikov, Maks, et al.. (2019). Correspondence-free region localization for partial shape similarity via hamiltonian spectrum alignment. IRIS Research product catalog (Sapienza University of Rome). 12 indexed citations
14.
Ben‐Ari, Rami, et al.. (2019). Toward Self-Supervised Object Detection in Unlabeled Videos. arXiv (Cornell University). 1 indexed citations
15.
Sprechmann, Pablo, et al.. (2013). Efficient supervised sparse analysis and synthesis operators. Neural Information Processing Systems. 908–916. 6 indexed citations
16.
Bronstein, Alex, Pablo Sprechmann, & Guillermo Sapiro. (2012). Learning Efficient Structured Sparse Models. International Conference on Machine Learning. 219–226. 12 indexed citations
17.
Kimmel, Ron, Cuiping Zhang, Alex Bronstein, & Michael M. Bronstein. (2011). Are MSER Features Really Interesting?. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(11). 2316–2320. 61 indexed citations
18.
Bronstein, Alex & Michael M. Bronstein. (2008). Not only size matters: Regularized partial matching of nonrigid shapes. 1–6. 12 indexed citations
19.
Bronstein, Michael M., Alex Bronstein, Michael Zibulevsky, & Y.Y. Zeevi. (2005). Blind deconvolution of images using optimal sparse representations. IEEE Transactions on Image Processing. 14(6). 726–736. 62 indexed citations
20.
Bronstein, Michael M., Alex Bronstein, Michael Zibulevsky, & Haim Azhari. (2002). Reconstruction in diffraction ultrasound tomography using nonuniform FFT. IEEE Transactions on Medical Imaging. 21(11). 1395–1401. 75 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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