Eric Brochu

3.3k citations
17 papers · 499 · h-index 9

Impact in

Papers in

Eric Brochu

17 papers receiving 458 citations

Peers

Eric Brochu
Comparison fields: 5 of 85
  • Management Science and Operations Research 90
  • Artificial Intelligence 227
  • Computer Vision and Pattern Recognition 134
  • Computational Theory and Mathematics 104
  • Signal Processing 37
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Andrew Guillory United States
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Huanhuan Zhang China
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by Eric Brochu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Brochu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Eric Brochu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Brochu Line = papers co-authored together Eric Brochu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2009152
2 201081
3
Portfolio allocation for Bayesian optimization
201167
4
Active Preference Learning with Discrete Choice Data
200763
5 200732
6
"Name That Song!" A Probabilistic Approach to Querying on Music and Text
200221
7 200720
8 200815
9
The Sound of an Album Cover: Probabilistic Multimedia and IR
200214
10
Bayesian Models for Massive Multimedia Databases: a New Frontier
20027
11
Optimal Subsampling with Influence Functions
20186
12 20116
13
The Sound of an Album Cover: A Probabilistic Approach to Multimedia
20035
14 20075
15
Owed to a Martingale: A Fast Bayesian On-Line EM Algorithm for Multinomial Models
20042
16 20232
17
Hedging Strategies for Bayesian Optimization
20101

About Eric Brochu

Eric Brochu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Signal Processing and Management Science and Operations Research, having authored 17 papers that have together received 499 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (5 papers), Music and Audio Processing (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers), Music Technology and Sound Studies (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Advanced Bandit Algorithms Research (3 papers), Animal Genetics and Reproduction (2 papers) and Genetically Modified Organisms Research (2 papers). The work is most often cited by research in Management Science and Operations Research (90 citations), Artificial Intelligence (227 citations), Computer Vision and Pattern Recognition (134 citations), Computational Theory and Mathematics (104 citations) and Signal Processing (37 citations). Eric Brochu has collaborated with scholars based in Canada, Portugal and United States. Frequent co-authors include Nando de Freitas, Arnaud Doucet, Rubén Martínez-Cantín, José A. Castellanos, Tyson Brochu, Abhijeet Ghosh, Matthew D. Hoffman, Hernán Baldassarre, Duncan K. Hockley and Xin Zhao. Their work appears in journals such as Transgenic Research, Reproduction Fertility and Development, Autonomous Robots, IEEE Transactions on Visualization and Computer Graphics and International Conference on Artificial Intelligence and Statistics.

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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