Timothée Lacroix
Impact in
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- Advanced Graph Neural Networks
- Topic Modeling
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- Parallel Computing and Optimization Techniques
Papers in
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- Caching and Content Delivery 1
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- Complex Network Analysis Techniques 1
- Co-authors
- Jiajun Shen (1 shared paper)Ledell Wu (1 shared paper)Adam Lerer (1 shared paper)Abhijit Bose (1 shared paper)Alexander Peysakhovich (1 shared paper)Marie-Anne Lachaux (1 shared paper)Amaury Hayat (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
In The Last Decade
Timothée Lacroix
1 paper receiving 12 citations
Peers
Comparison fields: 5 of 10
- Artificial Intelligence 12
- Hardware and Architecture 2
- Computer Vision and Pattern Recognition 5
- Statistical and Nonlinear Physics 3
- Computer Science Applications 1
Countries citing papers authored by Timothée Lacroix
This map shows the geographic impact of Timothée Lacroix'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 Timothée Lacroix with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothée Lacroix more than expected).
Fields of papers citing papers by Timothée Lacroix
This network shows the impact of papers produced by Timothée Lacroix. 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 Timothée Lacroix. The network helps show where Timothée Lacroix may publish in the future.
Co-authors
The 7 scholars most cited alongside Timothée Lacroix, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pytorch-BigGraph: A Large Scale Graph Embedding System. | 2019 | 13 |
| 2 | 2022 | 0 |
About Timothée Lacroix
Timothée Lacroix is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 13 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (1 paper), Advanced Graph Neural Networks (1 paper) and Caching and Content Delivery (1 paper). The work is most often cited by research in Artificial Intelligence (12 citations), Hardware and Architecture (2 citations), Computer Vision and Pattern Recognition (5 citations), Statistical and Nonlinear Physics (3 citations) and Computer Science Applications (1 citation). Frequent co-authors include Jiajun Shen, Ledell Wu, Adam Lerer, Abhijit Bose, Alexander Peysakhovich, Marie-Anne Lachaux and Amaury Hayat. Their work appears in journals such as arXiv (Cornell University).
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.