Bryan Catanzaro

19.7k citations
68 papers · 8.5k · 5 hit papers · h-index 26

Impact in

Papers in

Bryan Catanzaro

64 papers receiving 8.1k citations

Bryan Catanzaro's Hit Papers

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs 2018 · 2.8k citations
2.8k0+6+13Years since publication50010001.5k2.0k2.5k

Peers

Bryan Catanzaro
Comparison fields: 5 of 172
  • Hardware and Architecture 1.7k
  • Computer Vision and Pattern Recognition 4.8k
  • Computer Graphics and Computer-Aided Design 631
  • Computer Networks and Communications 1.6k
  • Media Technology 469
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Citations per field
00.5×10×12.9×
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Citations per year

Countries citing papers authored by Bryan Catanzaro

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Catanzaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bryan Catanzaro, 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 Bryan Catanzaro Line = papers co-authored together Bryan Catanzaro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
Hit paper breakdown →
20182827
2
Image Inpainting for Irregular Holes Using Partial Convolutions
Hit paper breakdown →
20181532
3
The Landscape of Parallel Computing Research: A View from Berkeley
Hit paper breakdown →
20061424
4
Deep learning with COTS HPC systems
Hit paper breakdown →
2013410
5
PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation
Hit paper breakdown →
2011378
6 2008284
7 2019282
8 2011145
9 200998
10 201890
11 202388
12 202076
13 200771
14
PyCUDA: GPU Run-Time Code Generation for High-Performance Computing
200963
15
SEJITS: Getting Productivity and Performance With Selective Embedded JIT Specialization
201057
16 201955
17 201451
18 202246
19
A map reduce framework for programming graphics processors
201045
20 202239

About Bryan Catanzaro

Bryan Catanzaro is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 68 papers that have together received 8.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Topic Modeling (11 papers), Speech Recognition and Synthesis (11 papers), Natural Language Processing Techniques (10 papers), Advanced Data Storage Technologies (9 papers), Music and Audio Processing (7 papers), Distributed and Parallel Computing Systems (7 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Computer Vision and Pattern Recognition (4.8k citations), Computer Graphics and Computer-Aided Design (631 citations), Computer Networks and Communications (1.6k citations) and Media Technology (469 citations). Bryan Catanzaro has collaborated with scholars based in United States, United Kingdom and Hong Kong. Frequent co-authors include Andrew Tao, Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Jan Kautz, Kurt Keutzer, Kevin J. Shih, Fitsum A. Reda, Guilin Liu and Katherine Yelick. Their work appears in journals such as IEEE Micro, ACM SIGPLAN Notices, IEEE Transactions on Pattern Analysis and Machine Intelligence, Parallel Computing and Lecture notes in computer science.

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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