Jake Bouvrie

767 total citations
14 papers, 517 citations indexed

About

Jake Bouvrie is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jake Bouvrie has authored 14 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 6 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jake Bouvrie's work include Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Blind Source Separation Techniques (4 papers). Jake Bouvrie is often cited by papers focused on Speech and Audio Processing (5 papers), Music and Audio Processing (4 papers) and Blind Source Separation Techniques (4 papers). Jake Bouvrie collaborates with scholars based in United States and Lebanon. Jake Bouvrie's co-authors include Tomaso Poggio, Tony Ezzat, Maxim Raginsky, Lorenzo Rosasco, Pawan Sinha, Ryan Rifkin, Jean-Jacques Slotine, Andre Wibisono, Mauro Maggioni and Sharat Chikkerur and has published in prestigious journals such as Neural Computation, Neurocomputing and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Jake Bouvrie

14 papers receiving 485 citations

Peers

Countries citing papers authored by Jake Bouvrie

Since Specialization

Citations

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

Fields of papers citing papers by Jake Bouvrie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jake Bouvrie

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Efficient solution of Markov decision problems with multiscale representations 2012 ·Jake Bouvrie, Mauro Maggioni	2
2	Continuous-time stochastic Mirror Descent on a network: Variance reduction, consensus, convergence 2012 ·Maxim Raginsky, Jake Bouvrie	23
3	Synchronization and Redundancy: Implications for Robustness of Neural Learning and Decision Making 2011 ·Neural Computation ·Jake Bouvrie, Jean-Jacques Slotine	7
4	Learning and Invariance in a Family of Hierarchical Kernels 2010 ·DSpace@MIT (Massachusetts Institute of Technology) ·Andre Wibisono, Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio	4
5	On Invariance in Hierarchical Models 2009 ·DSpace@MIT (Massachusetts Institute of Technology) ·Jake Bouvrie, Lorenzo Rosasco, Tomaso Poggio	22
6	Localized spectro-temporal cepstral analysis of speech 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·Jake Bouvrie, Tony Ezzat, Tomaso Poggio	34
7	Visual object concept discovery: Observations in congenitally blind children, and a computational approach 2007 ·Neurocomputing ·Jake Bouvrie, Pawan Sinha	12
8	Spectro-temporal analysis of speech using 2-d Gabor filters 2007 ·Tony Ezzat, Jake Bouvrie, Tomaso Poggio	59
9	Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures 2007 ·DSpace@MIT (Massachusetts Institute of Technology) ·Ryan Rifkin, Jake Bouvrie, (unknown), Sharat Chikkerur, Minjoon Kouh, Tony Ezzat, Tomaso Poggio	8
10	Noise Robust Phonetic Classificationwith Linear Regularized Least Squares and Second-Order Features 2007 ·Ryan Rifkin, (unknown), (unknown), Jake Bouvrie, (unknown)	18
11	AM-FM Demodulation of Spectrograms using Localized 2D Max-Gabor Analysis 2007 ·Tony Ezzat, Jake Bouvrie, Tomaso Poggio	12
12	Notes on Convolutional Neural Networks 2006 ·CogPrints (University of Southampton) ·Jake Bouvrie	305
13	An incremental algorithm for signal reconstruction from short-time fourier transform magnitude 2006 ·Jake Bouvrie, Tony Ezzat	6
14	Max-Gabor analysis and synthesis of spectrograms 2006 ·Tony Ezzat, Jake Bouvrie, Tomaso Poggio	5

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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