Brody Huval

2.8k total citations · 3 hit papers
3 papers, 1.5k citations indexed

About

Brody Huval is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Brody Huval has authored 3 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Computer Vision and Pattern Recognition, 1 paper in Hardware and Architecture and 1 paper in Artificial Intelligence. Recurrent topics in Brody Huval's work include Advanced Image and Video Retrieval Techniques (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Text and Document Classification Technologies (1 paper). Brody Huval is often cited by papers focused on Advanced Image and Video Retrieval Techniques (1 paper), Industrial Vision Systems and Defect Detection (1 paper) and Text and Document Classification Technologies (1 paper). Brody Huval collaborates with scholars based in United States. Brody Huval's co-authors include Richard Socher, Andrew Y. Ng, Christopher D. Manning, David J. Wu, Bryan Catanzaro, Andrew Ng, Tao Wang and Adam Coates and has published in prestigious journals such as Empirical Methods in Natural Language Processing, Neural Information Processing Systems and International Conference on Machine Learning.

In The Last Decade

Brody Huval

3 papers receiving 1.4k citations

Hit Papers

Semantic Compositionality through Recursive Matrix-Vector... 2012 2026 2016 2021 2012 2013 2012 250 500 750

Peers

Brody Huval
Cihang Xie United States
Andreas Veit United States
Yuan He China
Yuandong Tian United States
Stephen Tyree United States
Keechul Jung South Korea
Brody Huval
Citations per year, relative to Brody Huval Brody Huval (= 1×) peers Baoyuan Wu

Countries citing papers authored by Brody Huval

Since Specialization
Citations

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

Fields of papers citing papers by Brody Huval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brody Huval

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

All Works

3 of 3 papers shown
1.
Coates, Adam, Brody Huval, Tao Wang, et al.. (2013). Deep learning with COTS HPC systems. International Conference on Machine Learning. 1337–1345. 370 indexed citations breakdown →
2.
Socher, Richard, Brody Huval, Christopher D. Manning, & Andrew Y. Ng. (2012). Semantic Compositionality through Recursive Matrix-Vector Spaces. Empirical Methods in Natural Language Processing. 1201–1211. 767 indexed citations breakdown →
3.
Socher, Richard, et al.. (2012). Convolutional-Recursive Deep Learning for 3D Object Classification. Neural Information Processing Systems. 25. 656–664. 358 indexed citations breakdown →

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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