Eric Paquet

1.2k total citations
59 papers, 697 citations indexed

About

Eric Paquet is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Eric Paquet has authored 59 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 16 papers in Molecular Biology and 16 papers in Artificial Intelligence. Recurrent topics in Eric Paquet's work include Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (7 papers) and Image Processing and 3D Reconstruction (6 papers). Eric Paquet is often cited by papers focused on Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (7 papers) and Image Processing and 3D Reconstruction (6 papers). Eric Paquet collaborates with scholars based in Canada, United States and France. Eric Paquet's co-authors include Herna L. Viktor, Farzan Soleymani, Wojtek Michalowski, Davide Spinello, Kamel Madi, Hamamache Kheddouci, Pascuala Garcı́a-Martı́nez, Marc Rioux, Javier Garcı́a and Hongyu Guo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Eric Paquet

52 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Paquet Canada 12 183 143 116 94 88 59 697
Changha Hwang South Korea 16 91 0.5× 249 1.7× 189 1.6× 69 0.7× 80 0.9× 79 889
Armando Vieira Portugal 15 191 1.0× 381 2.7× 82 0.7× 141 1.5× 174 2.0× 50 1.2k
Denise Gorse United Kingdom 15 279 1.5× 239 1.7× 77 0.7× 92 1.0× 32 0.4× 44 773
Herna L. Viktor Canada 14 186 1.0× 656 4.6× 121 1.0× 192 2.0× 118 1.3× 85 1.3k
N. Baba Japan 15 234 1.3× 213 1.5× 145 1.3× 78 0.8× 45 0.5× 50 917
Weiguo Wang China 18 56 0.3× 228 1.6× 27 0.2× 217 2.3× 96 1.1× 75 1.2k
Jianming Ye China 14 168 0.9× 139 1.0× 58 0.5× 43 0.5× 18 0.2× 52 930
Maciej Zięba Poland 13 62 0.3× 411 2.9× 52 0.4× 76 0.8× 32 0.4× 43 858

Countries citing papers authored by Eric Paquet

Since Specialization
Citations

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

Fields of papers citing papers by Eric Paquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Paquet

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Paquet. A scholar is included among the top collaborators of Eric Paquet 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 Eric Paquet. Eric Paquet 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.
González, Sebastián, I-Hsuan Lu, C. Gay, et al.. (2025). Conditioned quantum-assisted deep generative surrogate for particle-calorimeter interactions. npj Quantum Information. 11(1). 114–114.
2.
Paquet, Eric, et al.. (2025). ProT-GFDM: A generative fractional diffusion model for protein generation. Computational and Structural Biotechnology Journal. 27. 3464–3480.
3.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, & Wojtek Michalowski. (2024). Structure-based protein and small molecule generation using EGNN and diffusion models: A comprehensive review. Computational and Structural Biotechnology Journal. 23. 2779–2797. 6 indexed citations
4.
Paquet, Eric, Farzan Soleymani, Herna L. Viktor, & Wojtek Michalowski. (2024). Annealed fractional Lévy–Itō diffusion models for protein generation. Computational and Structural Biotechnology Journal. 23. 1641–1653. 2 indexed citations
5.
González, Sebastián, I-Hsuan Lu, Soren Anderson, et al.. (2024). Calo4pQVAE: Quantum-Assisted 4-Partite VAE Surrogate for High Energy Particle-Calorimeter Interactions. NPARC. 109–113. 1 indexed citations
6.
Paquet, Eric, et al.. (2023). Primary sequence based protein–protein interaction binder generation with transformers. Complex & Intelligent Systems. 10(2). 2067–2082. 1 indexed citations
7.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, Wojtek Michalowski, & Davide Spinello. (2023). ProtInteract: A deep learning framework for predicting protein–protein interactions. Computational and Structural Biotechnology Journal. 21. 1324–1348. 22 indexed citations
8.
9.
Soleymani, Farzan, Eric Paquet, Herna L. Viktor, Wojtek Michalowski, & Davide Spinello. (2022). Protein–protein interaction prediction with deep learning: A comprehensive review. Computational and Structural Biotechnology Journal. 20. 5316–5341. 95 indexed citations
10.
Paquet, Eric, et al.. (2022). Geometric Deep Learning for Protein–Protein Interaction Predictions. IEEE Access. 10. 90045–90055. 2 indexed citations
11.
Madi, Kamel & Eric Paquet. (2020). New Graph Embedding Approach for 3D Protein Shape Classification. 1–7. 2 indexed citations
12.
Pon, Robert A., Anne Marcil, Wangxue Chen, et al.. (2020). Masking terminal neo-epitopes of linear peptides through glycosylation favours immune responses towards core epitopes producing parental protein bound antibodies. Scientific Reports. 10(1). 18497–18497. 5 indexed citations
13.
Zou, Wei, Anne Marcil, Eric Paquet, et al.. (2017). Generation of monoclonal pan-hemagglutinin antibodies for the quantification of multiple strains of influenza. PLoS ONE. 12(6). e0180314–e0180314. 8 indexed citations
14.
Paquet, Eric & Herna L. Viktor. (2015). Molecular Dynamics, Monte Carlo Simulations, and Langevin Dynamics: A Computational Review. BioMed Research International. 2015. 1–18. 110 indexed citations
15.
Paquet, Eric & Herna L. Viktor. (2010). Addressing the Docking Problem: Finding Similar 3-D Protein Envelopes for Computer-Aided Drug Design. Advances in experimental medicine and biology. 680. 447–454.
16.
17.
Paquet, Eric, et al.. (2007). Virtual Urban Design. NPARC. 177–183. 1 indexed citations
18.
Paquet, Eric & Herna L. Viktor. (2007). Exploring Protein Architecture using 3D Shape-based Signatures. Conference proceedings. 21. 1204–1208. 1 indexed citations
19.
20.
Paquet, Eric, et al.. (2003). Virtualization, virtual environments, and content-based retrieval of three-dimensional information for cultural applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5013. 137–137. 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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