Nicolas Tremblay

1.4k total citations
44 papers, 685 citations indexed

About

Nicolas Tremblay is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Nicolas Tremblay has authored 44 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Statistical and Nonlinear Physics and 7 papers in Statistics and Probability. Recurrent topics in Nicolas Tremblay's work include Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (11 papers) and Bioinformatics and Genomic Networks (6 papers). Nicolas Tremblay is often cited by papers focused on Advanced Graph Neural Networks (11 papers), Complex Network Analysis Techniques (11 papers) and Bioinformatics and Genomic Networks (6 papers). Nicolas Tremblay collaborates with scholars based in France, Canada and Switzerland. Nicolas Tremblay's co-authors include Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst, Gilles Puy, Michael Mahut, Michaël Florian, Andreas Loukas, Luc Le Magoarou, Hiroshi Esaki and Romain Fontugne and has published in prestigious journals such as PLoS ONE, Journal of Colloid and Interface Science and IEEE Transactions on Signal Processing.

In The Last Decade

Nicolas Tremblay

42 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Tremblay France 13 303 220 105 88 85 44 685
Andreas Loukas Netherlands 13 502 1.7× 287 1.3× 77 0.7× 50 0.6× 50 0.6× 30 733
Chang Wei Tan Australia 15 252 0.8× 41 0.2× 49 0.5× 41 0.5× 45 0.5× 51 797
Daniele Grattarola Switzerland 10 339 1.1× 86 0.4× 129 1.2× 66 0.8× 26 0.3× 15 591
Qingquan Song United States 11 567 1.9× 85 0.4× 239 2.3× 43 0.5× 38 0.4× 23 1.0k
Tohru Ikeguchi Japan 17 363 1.2× 283 1.3× 48 0.5× 58 0.7× 36 0.4× 100 762
Dorina Thanou Switzerland 14 775 2.6× 426 1.9× 220 2.1× 110 1.3× 42 0.5× 34 1.2k
Philipp Hennig Germany 16 456 1.5× 72 0.3× 80 0.8× 63 0.7× 169 2.0× 48 1.2k
Ji Won Yoon South Korea 12 167 0.6× 27 0.1× 182 1.7× 73 0.8× 29 0.3× 69 731
Kyunghyun Cho United States 16 973 3.2× 64 0.3× 606 5.8× 50 0.6× 84 1.0× 39 1.5k
Minjie Wang China 16 399 1.3× 56 0.3× 247 2.4× 34 0.4× 26 0.3× 56 930

Countries citing papers authored by Nicolas Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Tremblay

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Tremblay. A scholar is included among the top collaborators of Nicolas Tremblay 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 Nicolas Tremblay. Nicolas Tremblay 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.
Lacoste, Myrtille, Véronique Bellon Maurel, Isabelle Piot‐Lepetit, et al.. (2025). Farmer-centric On-Farm Experimentation: digital tools for a scalable transformative pathway. Agronomy for Sustainable Development. 45(2). 1 indexed citations
2.
Zhang, Yuzhen, Laura C. Harrington, Courtney C. Murdock, et al.. (2025). Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex. Parasites & Vectors. 18(1). 218–218.
3.
Tremblay, Nicolas, et al.. (2025). Cellular porosity in dentin exhibits complex network characteristics with spatio-temporal fluctuations. PLoS ONE. 20(7). e0327030–e0327030.
4.
Tremblay, Nicolas, Simon Barthelmé, Konstantin Usevich, & Pierre‐Olivier Amblard. (2023). Extended L-ensembles: A new representation for determinantal point processes. The Annals of Applied Probability. 33(1). 3 indexed citations
5.
Barthelmé, Simon, Nicolas Tremblay, Konstantin Usevich, & Pierre‐Olivier Amblard. (2023). Determinantal point processes in the flat limit. Bernoulli. 29(2). 3 indexed citations
6.
Barthelmé, Simon, Pierre‐Olivier Amblard, Nicolas Tremblay, & Konstantin Usevich. (2023). Gaussian process regression in the flat limit. The Annals of Statistics. 51(6). 1 indexed citations
7.
Tremblay, Nicolas. (2019). Independent re-analysis of alleged mind-matter interaction in double-slit experimental data. PLoS ONE. 14(2). e0211511–e0211511. 9 indexed citations
8.
Tremblay, Nicolas, et al.. (2019). Feasibility of structural health monitoring in a composite plate using omnidirectional SH0 transduction. AIP conference proceedings. 2102. 50019–50019. 2 indexed citations
9.
Magoarou, Luc Le, Rémi Gribonval, & Nicolas Tremblay. (2017). Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Transactions on Signal and Information Processing over Networks. 4(2). 407–420. 42 indexed citations
10.
Tremblay, Nicolas, et al.. (2017). The Feasibility of Structural Health Monitoring Using the Fundamental Shear Horizontal Guided Wave in a Thin Aluminum Plate. Materials. 10(5). 551–551. 9 indexed citations
11.
Tremblay, Nicolas, et al.. (2017). Multi-scale structural community organisation of the human genome. BMC Bioinformatics. 18(1). 209–209. 9 indexed citations
12.
Puy, Gilles, Nicolas Tremblay, Rémi Gribonval, & Pierre Vandergheynst. (2016). Random sampling of bandlimited signals on graphs. Applied and Computational Harmonic Analysis. 44(2). 446–475. 95 indexed citations
13.
Tremblay, Nicolas, et al.. (2015). Mise en place de processus de gestion de projets et d’ingénierie système chez CSiT, une entreprise canadienne dans le domaine du transport collectif. 1 indexed citations
14.
Tremblay, Nicolas & Pierre Borgnat. (2014). Graph Wavelets for Multiscale Community Mining. IEEE Transactions on Signal Processing. 62(20). 5227–5239. 98 indexed citations
15.
Tremblay, Nicolas & Pierre Borgnat. (2013). Multiscale community mining in networks using the graph wavelet transform of random vectors. 30. 463–466. 1 indexed citations
16.
Tremblay, Nicolas, et al.. (2012). Structure, thermodynamics and dynamics of the isotropic phase of spherical non-ionic surfactant micelles. Journal of Colloid and Interface Science. 393. 161–173. 9 indexed citations
17.
Mahut, Michael, Michaël Florian, & Nicolas Tremblay. (2008). Comparison of Assignment Methods for Simulation-Based Dynamic-Equilibrium Traffic Assignment. Transportation Research Board 87th Annual MeetingTransportation Research Board. 12 indexed citations
18.
Mahut, Michael, Michaël Florian, & Nicolas Tremblay. (2005). Evaluation of a simulation-based dynamic traffic assignment model in off-line use. 1997. 1028–1032. 6 indexed citations
19.
Mahut, Michael, Michaël Florian, & Nicolas Tremblay. (2003). Space-Time Queues and Dynamic Traffic Assignment: A Model, Algorithm and Applications. 17 indexed citations
20.
Tremblay, Nicolas. (2002). Parler naturellement au figuré / Figures de pensée, figures de discours, de Danielle Forget, Nota bene, « Langue et pratiques discursives », 186 p.. 51–52. 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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