Aaron Lou

545 total citations · 1 hit paper
4 papers, 148 citations indexed

About

Aaron Lou is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Aaron Lou has authored 4 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Computational Mechanics and 1 paper in Molecular Biology. Recurrent topics in Aaron Lou's work include Generative Adversarial Networks and Image Synthesis (2 papers), 3D Shape Modeling and Analysis (2 papers) and Morphological variations and asymmetry (1 paper). Aaron Lou is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), 3D Shape Modeling and Analysis (2 papers) and Morphological variations and asymmetry (1 paper). Aaron Lou collaborates with scholars based in United States and Israel. Aaron Lou's co-authors include Garyk Brixi, Michael Poli, Jeremy A. Sullivan, Dhruva Katrekar, S. B. King, Matthew G. Durrant, Stefano Ermon, Christopher Ré, Stephen A. Baccus and Brian Kang and has published in prestigious journals such as Science and arXiv (Cornell University).

In The Last Decade

Aaron Lou

4 papers receiving 143 citations

Hit Papers

Sequence modeling and design from molecular to genome sca... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Lou United States 2 79 15 12 11 10 4 148
C. Wolfe United States 4 124 1.6× 52 3.5× 13 1.1× 14 1.3× 10 1.0× 7 208
CJ Barberan United States 3 135 1.7× 43 2.9× 13 1.1× 7 0.6× 11 1.1× 4 204
Irina Balaur Luxembourg 7 97 1.2× 13 0.9× 6 0.5× 5 0.5× 12 1.2× 19 141
Γεώργιος Παπουτσόγλου Greece 7 83 1.1× 34 2.3× 9 0.8× 8 0.7× 20 2.0× 13 182
Gerardo Pepe Italy 7 101 1.3× 16 1.1× 9 0.8× 6 0.5× 13 1.3× 16 188
Zixiang Pan China 5 166 2.1× 42 2.8× 8 0.7× 6 0.5× 12 1.2× 6 221
Theofanis Karaletsos United States 7 139 1.8× 51 3.4× 17 1.4× 11 1.0× 3 0.3× 16 223
N.A. Shankaracharya India 8 80 1.0× 38 2.5× 44 3.7× 5 0.5× 21 2.1× 13 206
Nicolás López Carranza United Kingdom 5 113 1.4× 23 1.5× 22 1.8× 2 0.2× 5 0.5× 7 181
Andrew Quitadamo United States 5 87 1.1× 30 2.0× 21 1.8× 10 0.9× 2 0.2× 7 138

Countries citing papers authored by Aaron Lou

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Lou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Lou

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

All Works

4 of 4 papers shown
1.
Rafailov, Rafael, Linqi Zhou, Aaron Lou, et al.. (2024). Diffusion Model Alignment Using Direct Preference Optimization. 8228–8238. 19 indexed citations
2.
Poli, Michael, Matthew G. Durrant, Brian Kang, et al.. (2024). Sequence modeling and design from molecular to genome scale with Evo. Science. 386(6723). eado9336–eado9336. 127 indexed citations breakdown →
3.
Lou, Aaron, Maximilian Nickel, Mustafa Mukadam, & Brandon Amos. (2021). Learning Complex Geometric Structures from Data with Deep Riemannian Manifolds. 1 indexed citations
4.
Lou, Aaron, et al.. (2020). Neural Manifold Ordinary Differential Equations. arXiv (Cornell University). 33. 17548–17558. 1 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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