Quentin Anthony

1.1k total citations · 1 hit paper
22 papers, 364 citations indexed

About

Quentin Anthony is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Quentin Anthony has authored 22 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Quentin Anthony's work include Advanced Neural Network Applications (8 papers), Stochastic Gradient Optimization Techniques (5 papers) and Topic Modeling (4 papers). Quentin Anthony is often cited by papers focused on Advanced Neural Network Applications (8 papers), Stochastic Gradient Optimization Techniques (5 papers) and Topic Modeling (4 papers). Quentin Anthony collaborates with scholars based in United States. Quentin Anthony's co-authors include Hari Subramoni, Stella Biderman, Leo Gao, Michael Pieler, Laria Reynolds, Jason Phang, Ben Wang, Samuel Weinbach, Horace He and Kyle McDonell and has published in prestigious journals such as IEEE Micro and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

In The Last Decade

Quentin Anthony

19 papers receiving 346 citations

Hit Papers

GPT-NeoX-20B: An Open-Source Autoregressive Language Model 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPT-NeoX-20B: An Open-Source Autoregressive Language Model
    2022 235 citations Stella Biderman, Quentin Anthony et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Quentin Anthony United States 7 234 71 52 52 34 22 364
Horace He United States 3 305 1.3× 87 1.2× 22 0.4× 45 0.9× 32 0.9× 5 382
Lukas Gianinazzi Switzerland 6 139 0.6× 51 0.7× 30 0.6× 28 0.5× 11 0.3× 14 225
Christopher A. Choquette-Choo United States 6 302 1.3× 84 1.2× 47 0.9× 67 1.3× 5 0.1× 10 406
Qingxiu Dong China 7 199 0.9× 50 0.7× 18 0.3× 39 0.8× 5 0.1× 11 297
Ahoud Alhazmi Australia 4 248 1.1× 42 0.6× 45 0.9× 48 0.9× 6 0.2× 8 293
Vipin Tiwari India 6 131 0.6× 31 0.4× 27 0.5× 48 0.9× 16 0.5× 21 303
Chenyang Lyu China 8 162 0.7× 23 0.3× 43 0.8× 94 1.8× 15 0.4× 26 291
Ranvijay Singh India 10 113 0.5× 46 0.6× 59 1.1× 34 0.7× 30 0.9× 42 266
Gelei Deng Singapore 10 137 0.6× 17 0.2× 80 1.5× 103 2.0× 7 0.2× 22 303
Mohamed Yehia Dahab Saudi Arabia 7 190 0.8× 18 0.3× 34 0.7× 81 1.6× 4 0.1× 25 264

Countries citing papers authored by Quentin Anthony

Since Specialization
Citations

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

Fields of papers citing papers by Quentin Anthony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Quentin Anthony

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

All Works

20 of 20 papers shown
1.
Anthony, Quentin, et al.. (2025). Understanding and Characterizing Communication Characteristics for Distributed Transformer Models. IEEE Micro. 45(2). 8–17. 1 indexed citations
2.
Anthony, Quentin, et al.. (2024). Accelerating Large Language Model Training with Hybrid GPU-based Compression. 196–205. 2 indexed citations
3.
Anthony, Quentin, et al.. (2024). Exploiting Inter-Layer Expert Affinity for Accelerating Mixture-of-Experts Model Inference. 915–925. 6 indexed citations
4.
Yin, Junqi, et al.. (2024). Comparative Study of Large Language Model Architectures on Frontier. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 556–569. 8 indexed citations
5.
6.
Anthony, Quentin, et al.. (2024). Scaling Large Language Model Training on Frontier with Low-Bandwidth Partitioning. 57–67. 1 indexed citations
7.
Anthony, Quentin, Deepak Narayanan, Stella Biderman, et al.. (2024). The Case for Co-Designing Model Architectures with Hardware. 84–96. 3 indexed citations
8.
Adams, Sally, Quentin Anthony, Ben Athiwaratkun, et al.. (2024). RedPajama: an Open Dataset for Training Large Language Models. 116462–116492.
9.
Biderman, Stella, et al.. (2023). trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback. 8578–8595. 4 indexed citations
10.
Anthony, Quentin, Ammar Ahmad Awan, Jeff Rasley, et al.. (2023). MCR-DL: Mix-and-Match Communication Runtime for Deep Learning. 996–1006. 4 indexed citations
11.
12.
Biderman, Stella, Quentin Anthony, Leo Gao, et al.. (2022). GPT-NeoX-20B: An Open-Source Autoregressive Language Model. 95–136. 235 indexed citations breakdown →
13.
Anthony, Quentin, et al.. (2022). Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads. 22–31. 4 indexed citations
14.
Anthony, Quentin, et al.. (2022). Highly Efficient Alltoall and Alltoallv Communication Algorithms for GPU Systems. 24–33. 8 indexed citations
15.
Anthony, Quentin, et al.. (2021). Scaling Single-Image Super-Resolution Training on Modern HPC Clusters: Early Experiences. abs 1802 5799. 923–932. 5 indexed citations
16.
17.
Anthony, Quentin, et al.. (2021). Evaluating Multi-Level Checkpointing for Distributed Deep Neural Network Training. 60–67. 3 indexed citations
18.
Anthony, Quentin, et al.. (2020). Efficient Training of Semantic Image Segmentation on Summit using Horovod and MVAPICH2-GDR. abs 1708 2188. 1015–1023. 6 indexed citations
19.
20.
Awan, Ammar Ahmad, et al.. (2019). Performance Characterization of DNN Training using TensorFlow and PyTorch on Modern Clusters. 1–11. 25 indexed citations

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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