Alexander M. Bronstein

7.2k total citations · 2 hit papers
63 papers, 3.5k citations indexed

About

Alexander M. Bronstein is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Alexander M. Bronstein has authored 63 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 28 papers in Computational Mechanics and 10 papers in Signal Processing. Recurrent topics in Alexander M. Bronstein's work include Image Retrieval and Classification Techniques (21 papers), 3D Shape Modeling and Analysis (19 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Alexander M. Bronstein is often cited by papers focused on Image Retrieval and Classification Techniques (21 papers), 3D Shape Modeling and Analysis (19 papers) and Advanced Image and Video Retrieval Techniques (14 papers). Alexander M. Bronstein collaborates with scholars based in Israel, Switzerland and United States. Alexander M. Bronstein's co-authors include Michael M. Bronstein, Ron Kimmel, Maks Ovsjanikov, Leonidas Guibas, Guillermo Sapiro, Dan Raviv, Jonathan Masci, Jürgen Schmidhuber, Mona Mahmoudi and Alfred M. Bruckstein⋆ and has published in prestigious journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Computational Physics.

In The Last Decade

Alexander M. Bronstein

60 papers receiving 3.3k citations

Hit Papers

Shape google 2008 2026 2014 2020 2011 2008 100 200 300 400 500

Peers

Alexander M. Bronstein
Iddo Drori United States
J.F. Blinn United States
Luiz Velho Brazil
Ken Shoemake United States
Yiying Tong United States
Brian A. Barsky United States
L. Paul Chew United States
Alexander M. Bronstein
Citations per year, relative to Alexander M. Bronstein Alexander M. Bronstein (= 1×) peers Craig Gotsman

Countries citing papers authored by Alexander M. Bronstein

Since Specialization
Citations

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

Fields of papers citing papers by Alexander M. Bronstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander M. Bronstein

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander M. Bronstein. A scholar is included among the top collaborators of Alexander M. 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 Alexander M. Bronstein. Alexander M. 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.
Kang, Peipei, Zhenguo Yang, Xiaozhao Fang, et al.. (2021). Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval. Applied Intelligence. 52(1). 33–54. 7 indexed citations
2.
Baskin, Chaim, Eli Schwartz, Evgenii Zheltonozhskii, et al.. (2018). UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. arXiv (Cornell University). 5 indexed citations
3.
Schwartz, Eli, Leonid Karlinsky, Joseph Shtok, et al.. (2018). Delta-encoder: an effective sample synthesis method for few-shot object recognition. arXiv (Cornell University). 31. 2845–2855. 64 indexed citations
4.
Remez, Tal, Or Litany, & Alexander M. Bronstein. (2015). A Picture is worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels. arXiv (Cornell University). 2(11). 2 indexed citations
5.
Litman, Roee, et al.. (2013). Bilevel Sparse Models for Polyphonic Music Transcription.. International Symposium/Conference on Music Information Retrieval. 65–70. 9 indexed citations
6.
Sprechmann, Pablo, et al.. (2013). Supervised Sparse Analysis and Synthesis Operators. Neural Information Processing Systems. 26. 908–916. 22 indexed citations
7.
Raviv, Dan, Alexander M. Bronstein, Michael M. Bronstein, et al.. (2013). Equi-affine Invariant Geometry for Shape Analysis. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
8.
Saabni, Raid & Alexander M. Bronstein. (2012). Fast Keyword Searching Using 'BoostMap' Based Embedding. 734–739. 7 indexed citations
9.
Kovnatsky, Artiom, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, & Ron Kimmel. (2012). Affine-Invariant Photometric Heat Kernel Signatures. Eurographics. 39–46. 14 indexed citations
10.
Litman, Roee, Alexander M. Bronstein, & Michael M. Bronstein. (2011). Diffusion-geometric maximally stable component detection in deformable shapes. Computers & Graphics. 35(3). 549–560. 40 indexed citations
11.
Bronstein, Alexander M., Michael M. Bronstein, & Maks Ovsjanikov. (2010). WaldHash: sequential similarity-preserving hashing.
12.
Bronstein, Michael M. & Alexander M. Bronstein. (2010). Shape Recognition with Spectral Distances. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33(5). 1065–1071. 88 indexed citations
13.
Rosman, Guy, Michael M. Bronstein, Alexander M. Bronstein, & Ron Kimmel. (2010). Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding. International Journal of Computer Vision. 89(1). 56–68. 46 indexed citations
14.
Rosman, Guy, et al.. (2009). On reconstruction of non-rigid shapes with intrinsic regularization. 272–279. 6 indexed citations
15.
Bronstein, Michael M. & Alexander M. Bronstein. (2009). On a relation between shape recognition algorithms based on distributions of distances. Transboundary and Emerging Diseases. 65(2). 357–362. 4 indexed citations
16.
Bronstein, Alexander M., Michael M. Bronstein, Ron Kimmel, Mona Mahmoudi, & Guillermo Sapiro. (2009). A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching. International Journal of Computer Vision. 89(2-3). 266–286. 172 indexed citations
17.
Bronstein, Alexander M., Michael M. Bronstein, & Ron Kimmel. (2006). Expression-Invariant Representations of Faces. IEEE Transactions on Image Processing. 16(1). 188–197. 94 indexed citations
18.
Schattner, Ami, et al.. (2006). Information and shared decision-making are top patients' priorities. BMC Health Services Research. 6(1). 21–21. 75 indexed citations
19.
Bronstein, Alexander M., Michael M. Bronstein, & Ron Kimmel. (2006). Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching. Proceedings of the National Academy of Sciences. 103(5). 1168–1172. 342 indexed citations
20.
Bronstein, Alexander M., Michael M. Bronstein, Michael Zibulevsky, & Yehoshua Y. Zeevi. (2003). Quasi Maximum Likelihood Blind Deconvolution of Images Using Optimal Sparse Representations. 6 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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