Quentin Anthony

1.1k citations
22 papers · 364 indexed · 1 hit paper · h-index 7

Impact in

Papers in

Quentin Anthony

19 papers receiving 346 citations

Hit Papers

GPT-NeoX-20B: An Open-Source Autoregressive Language Model 2022 · 235 citations
2350+1+2Years since publication50100150200

Peers

Quentin Anthony
Comparison fields: 5 of 57
  • Health Informatics 17
  • Artificial Intelligence 234
  • Software 21
  • Hardware and Architecture 34
  • Computer Vision and Pattern Recognition 71
Replace Horace He with:
Horace He United States
Lukas Gianinazzi Switzerland
Christopher A. Choquette-Choo United States
Chenyang Lyu China
Fanchao Qi China
Gelei Deng Singapore
Qingxiu Dong China
Ahoud Alhazmi Australia
John X. Morris United States
Eli Lifland United States
Quentin Anthony relative to Horace He United States Horace He's profile →
Citations per field
00.5×
Horace He · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Hit paper breakdown →
2022235
2 202031
3 201925
4 202110
5 20248
6 20228
7 20246
8 20206
9 20236
10 20215
11 20234
12 20234
13 20224
14 20243
15 20213
16 20242
17 20251
18 20241
19 20201
20 20231

About Quentin Anthony

Quentin Anthony is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Hardware and Architecture and Electrical and Electronic Engineering, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Stochastic Gradient Optimization Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (2 papers), Advanced Data Storage Technologies (2 papers), Parallel Computing and Optimization Techniques (2 papers) and Machine Learning and Data Classification (2 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (234 citations), Software (21 citations), Hardware and Architecture (34 citations) and Computer Vision and Pattern Recognition (71 citations). Quentin Anthony has collaborated with scholars based in United States. Frequent co-authors include Hari Subramoni, Stella Biderman, Michael Pieler, Leo Gao, Kyle McDonell, Jason Phang, Laria Reynolds, Horace He, Ben Wang and Samuel Weinbach. Their work appears in journals such as IEEE Micro 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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