Eugene Brevdo

11.4k total citations · 1 hit paper
11 papers, 678 citations indexed

About

Eugene Brevdo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Eugene Brevdo has authored 11 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Cognitive Neuroscience. Recurrent topics in Eugene Brevdo's work include Aesthetic Perception and Analysis (3 papers), Image and Signal Denoising Methods (3 papers) and Image Retrieval and Classification Techniques (3 papers). Eugene Brevdo is often cited by papers focused on Aesthetic Perception and Analysis (3 papers), Image and Signal Denoising Methods (3 papers) and Image Retrieval and Classification Techniques (3 papers). Eugene Brevdo collaborates with scholars based in United States, India and Netherlands. Eugene Brevdo's co-authors include Hau‐Tieng Wu, Neven S. Fučkar, Gaurav Thakur, Ingrid Daubechies, Shannon M. Hughes, James Z. Wang, Jia Li, Ella Hendriks, Eric Postma and Craig Johnson and has published in prestigious journals such as IEEE Signal Processing Magazine, Signal Processing and arXiv (Cornell University).

In The Last Decade

Eugene Brevdo

10 papers receiving 651 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications

2012 402 citations Gaurav Thakur, Eugene Brevdo et al. Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eugene Brevdo United States	8	222	206	190	103	94	11	678
Jonatan Lerga Croatia	15	285 1.3×	140 0.7×	90 0.5×	31 0.3×	198 2.1×	69	779
C. Robert Pinnegar Canada	12	167 0.8×	290 1.4×	152 0.8×	138 1.3×	73 0.8×	19	1.1k
P. Guillemain France	10	384 1.7×	169 0.8×	83 0.4×	122 1.2×	209 2.2×	27	748
Victor Sucic Croatia	12	272 1.2×	232 1.1×	70 0.4×	61 0.6×	260 2.8×	65	648
Fumiaki Tomita Japan	19	462 2.1×	211 1.0×	96 0.5×	25 0.2×	29 0.3×	87	1.2k
Yannis Kopsinis Greece	12	254 1.1×	406 2.0×	64 0.3×	190 1.8×	309 3.3×	44	1.1k
Nathalie Delprat France	7	222 1.0×	147 0.7×	44 0.2×	79 0.8×	101 1.1×	11	664
Temujin Gautama Belgium	12	245 1.1×	127 0.6×	198 1.0×	112 1.1×	187 2.0×	25	847
Jeff Orchard Canada	16	461 2.1×	71 0.3×	56 0.3×	97 0.9×	37 0.4×	49	877
Dapang Chen United States	7	231 1.0×	239 1.2×	40 0.2×	118 1.1×	198 2.1×	11	792

Countries citing papers authored by Eugene Brevdo

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Brevdo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Brevdo

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Brevdo. A scholar is included among the top collaborators of Eugene Brevdo 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 Eugene Brevdo. Eugene Brevdo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Brevdo, Eugene, et al.. (2024). The Next 700 ML-Enabled Compiler Optimizations. 238–249. 3 indexed citations

2.

Marcus, Ryan, et al.. (2023). Kepler: Robust Learning for Parametric Query Optimization. Proceedings of the ACM on Management of Data. 1(1). 1–25. 14 indexed citations

3.

Buckman, Jacob, Danijar Hafner, George Tucker, Eugene Brevdo, & Honglak Lee. (2018). Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion. Neural Information Processing Systems. 31. 8224–8234. 10 indexed citations

4.

Tran, Dustin, Matthew D. Hoffman, Rif A. Saurous, et al.. (2017). Deep Probabilistic Programming. International Conference on Learning Representations. 9 indexed citations

5.

Thakur, Gaurav, Eugene Brevdo, Neven S. Fučkar, & Hau‐Tieng Wu. (2012). The Synchrosqueezing algorithm for time-varying spectral analysis: Robustness properties and new paleoclimate applications. Signal Processing. 93(5). 1079–1094. 402 indexed citations breakdown →

6.

Brevdo, Eugene, Neven S. Fučkar, Gaurav Thakur, & Hau‐Tieng Wu. (2011). The Synchrosqueezing algorithm: a robust analysis tool for signals with time-varying spectrum. arXiv (Cornell University). 17 indexed citations

7.

Simons, Frederik J., Ignace Loris, Eugene Brevdo, & Ingrid Daubechies. (2011). Wavelets and wavelet-like transforms on the sphere and their application to geophysical data inversion. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8138. 81380X–81380X. 8 indexed citations

8.

Jafarpour, Sina, et al.. (2009). Stylistic analysis of paintings usingwavelets and machine learning. European Signal Processing Conference. 1220–1224. 21 indexed citations

9.

Brevdo, Eugene, et al.. (2009). Stylistic Analysis Of Paintings Using Complex Wavelets And Random Forest Learning Algorithm. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Johnson, Craig, Ella Hendriks, Eugene Brevdo, et al.. (2008). Image processing for artist identification. IEEE Signal Processing Magazine. 25(4). 37–48. 192 indexed citations

11.

Brevdo, Eugene, et al.. (2006). Improving the hyperspectral linear unmixing problem with unsupervised cluster and covariance estimates. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6233. 623325–623325. 1 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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