Zachary DeVito

29.0k citations
19 papers · 6.4k indexed · 1 hit paper · h-index 11

Zachary DeVito

18 papers receiving 6.1k citations

Hit Papers

Automatic differentiation in PyTorch5.7k201720262020202310002.0k3.0k4.0k5.0k

Peers

Zachary DeVito
Comparison fields: 5 of 182
  • Computer Vision and Pattern Recognition 3.0k
  • Hardware and Architecture 530
  • Artificial Intelligence 2.5k
  • Media Technology 407
  • Computational Mathematics 27
Replace Anand Rangarajan with:
Anand Rangarajan United States
Soumith Chintala United States
Adam Paszke United States
Alban Desmaison United Kingdom
Edward Z. Yang United States
Sam Gross Israel
Bryan Catanzaro United States
Sergey Karayev United States
S. Shankar Sastry United States
Sun‐Yuan Kung United States
Zachary DeVito relative to Anand Rangarajan United States Anand Rangarajan's profile →
Citations per field
00.5×4.0×
Anand Rangarajan · 1×
Citations per year

Countries citing papers authored by Zachary DeVito

Since Specialization
Citations

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

Fields of papers citing papers by Zachary DeVito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20255
2 20247
3 20242
4 201929
5 201732
6
Automatic differentiation in PyTorchbreakdown →
20175707
7 201630
8 201644
9 20151
10 20142
11 20149
12 20141
13 2014121
14 201367
15 201312
16 2013124
17 201229
18
Designing the Language Liszt for Building Portable Mesh-based PDE Solvers
20113
19 2011144

About Zachary DeVito

Zachary DeVito is a scholar working on Hardware and Architecture, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Software and Computer Networks and Communications, having authored 19 papers that have together received 6.4k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (12 papers), Distributed and Parallel Computing Systems (6 papers), Logic, programming, and type systems (5 papers), Advanced Data Storage Technologies (4 papers), Embedded Systems Design Techniques (4 papers), CCD and CMOS Imaging Sensors (2 papers), Software Engineering Research (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.0k citations), Hardware and Architecture (530 citations), Artificial Intelligence (2.5k citations), Media Technology (407 citations) and Computational Mathematics (27 citations). Zachary DeVito has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Alban Desmaison, Sam Gross, Zeming Lin, Soumith Chintala, Luca Antiga, Adam Paszke, Adam Lerer, Edward Z. Yang, Pat Hanrahan and James Hegarty. Their work appears in journals such as ACM Transactions on Graphics, ACM SIGPLAN Notices, ACM Transactions on Architecture and Code Optimization, DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

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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