Zachary DeVito

29.2k citations
19 papers · 6.4k · 1 hit paper · h-index 11

Impact in

Papers in

Zachary DeVito

18 papers receiving 6.1k citations

Zachary DeVito's Hit Papers

Automatic differentiation in PyTorch 2017 · 5.8k citations
5.8k0+3+6Years since publication10002.0k3.0k4.0k5.0k

Peers

Zachary DeVito
Comparison fields: 5 of 180
  • Computer Vision and Pattern Recognition 3.0k
  • Hardware and Architecture 530
  • Artificial Intelligence 2.5k
  • Media Technology 406
  • Computational Mathematics 27
Replace Soumith Chintala with:
Soumith Chintala United States
Anand Rangarajan United States
Adam Paszke United States
Alban Desmaison United Kingdom
Edward Z. Yang United States
Sam Gross Israel
Sergey Karayev United States
Bryan Catanzaro United States
J. S. Denker United States
Marc’Aurelio Ranzato United States
Zachary DeVito relative to Soumith Chintala United States Soumith Chintala's profile →
Citations per field
00.5×1.5×2.4×
Soumith Chintala · 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-authors

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
Automatic differentiation in PyTorch
Hit paper breakdown →
20175752
2 2011144
3 2013125
4 2014121
5 201367
6 201644
7 201732
8 201630
9 201929
10 201229
11 201312
12 20149
13 20247
14 20255
15
Designing the Language Liszt for Building Portable Mesh-based PDE Solvers
20113
16 20242
17 20142
18 20141
19 20151

About Zachary DeVito

Zachary DeVito is a scholar working on Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, 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), Embedded Systems Design Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Vision and Imaging (2 papers), Evolutionary Algorithms and Applications (2 papers) and Software Engineering Research (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 (406 citations) and Computational Mathematics (27 citations). Zachary DeVito has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Sam Gross, Adam Lerer, Alban Desmaison, Zeming Lin, Soumith Chintala, Luca Antiga, Adam Paszke, 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 University of North Texas Digital Library (University of North Texas).

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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