Cyril Furtlehner

982 total citations
24 papers, 481 citations indexed

About

Cyril Furtlehner is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Cyril Furtlehner has authored 24 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Statistical and Nonlinear Physics. Recurrent topics in Cyril Furtlehner's work include Generative Adversarial Networks and Image Synthesis (8 papers), Model Reduction and Neural Networks (7 papers) and Advanced Clustering Algorithms Research (4 papers). Cyril Furtlehner is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (8 papers), Model Reduction and Neural Networks (7 papers) and Advanced Clustering Algorithms Research (4 papers). Cyril Furtlehner collaborates with scholars based in France, Spain and Estonia. Cyril Furtlehner's co-authors include Aurélien Decelle, Xiangliang Zhang, Michèle Sébag, Cécile Germain‐Renaud, P. Pierański, Isabelle Kraus, Xavier Leoncini, Francesco Montinaro, Flora Jay and Beatriz Seoane and has published in prestigious journals such as Nuclear Physics B, PLoS Genetics and PLoS Computational Biology.

In The Last Decade

Cyril Furtlehner

24 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cyril Furtlehner France 11 150 141 81 80 77 24 481
Lun Li China 11 72 0.5× 51 0.4× 216 2.7× 55 0.7× 74 1.0× 29 598
Xiaocong Zhou China 13 61 0.4× 142 1.0× 19 0.2× 125 1.6× 12 0.2× 72 755
Wenbin Zheng China 9 31 0.2× 121 0.9× 73 0.9× 74 0.9× 37 0.5× 50 415
R. W. Phippen United Kingdom 7 266 1.8× 57 0.4× 25 0.3× 56 0.7× 22 0.3× 7 526
Chao Jin China 10 96 0.6× 72 0.5× 164 2.0× 72 0.9× 31 0.4× 32 463
Subinay Dasgupta India 12 84 0.6× 121 0.9× 383 4.7× 220 2.8× 55 0.7× 43 859
Aloka Sinha India 18 387 2.6× 181 1.3× 87 1.1× 203 2.5× 130 1.7× 86 1.3k
Jianming Zhu China 16 203 1.4× 70 0.5× 195 2.4× 279 3.5× 8 0.1× 73 938
Pak Lui United States 5 35 0.2× 23 0.2× 19 0.2× 65 0.8× 91 1.2× 7 639
Robert Repnik Slovenia 9 51 0.3× 32 0.2× 195 2.4× 31 0.4× 21 0.3× 49 459

Countries citing papers authored by Cyril Furtlehner

Since Specialization
Citations

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

Fields of papers citing papers by Cyril Furtlehner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Furtlehner

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Furtlehner. A scholar is included among the top collaborators of Cyril Furtlehner 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 Cyril Furtlehner. Cyril Furtlehner 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.
Decelle, Aurélien, et al.. (2024). Inferring effective couplings with restricted Boltzmann machines. SciPost Physics. 16(4). 6 indexed citations
2.
Decelle, Aurélien, et al.. (2023). Learning a restricted Boltzmann machine using biased Monte Carlo sampling. SciPost Physics. 14(3). 10 indexed citations
3.
Decelle, Aurélien, et al.. (2023). Deep convolutional and conditional neural networks for large-scale genomic data generation. PLoS Computational Biology. 19(10). e1011584–e1011584. 6 indexed citations
4.
Decelle, Aurélien, Cyril Furtlehner, & Beatriz Seoane. (2022). Equilibrium and non-equilibrium regimes in the learning of restricted Boltzmann machines*. Journal of Statistical Mechanics Theory and Experiment. 2022(11). 114009–114009. 11 indexed citations
5.
Decelle, Aurélien & Cyril Furtlehner. (2021). Exact training of Restricted Boltzmann machines on intrinsically low dimensional data. arXiv (Cornell University). 4 indexed citations
6.
Decelle, Aurélien, Linda Ongaro, Davide Marnetto, et al.. (2021). Creating artificial human genomes using generative neural networks. PLoS Genetics. 17(2). e1009303–e1009303. 68 indexed citations
7.
Furtlehner, Cyril, et al.. (2021). Short-Term Forecasting of Urban Traffic Using Spatio-Temporal Markov Field. IEEE Transactions on Intelligent Transportation Systems. 23(8). 10858–10867. 10 indexed citations
8.
Decelle, Aurélien, et al.. (2018). Thermodynamics of Restricted Boltzmann Machines and Related Learning Dynamics. Journal of Statistical Physics. 172(6). 1576–1608. 28 indexed citations
9.
Decelle, Aurélien, et al.. (2017). Spectral dynamics of learning in restricted Boltzmann machines. Europhysics Letters (EPL). 119(6). 60001–60001. 23 indexed citations
10.
Kataoka, S., et al.. (2014). Traffic data reconstruction based on Markov random field modeling. Inverse Problems. 30(2). 25003–25003. 10 indexed citations
11.
Furtlehner, Cyril. (2013). Approximate inverse Ising models close to a Bethe reference point. Journal of Statistical Mechanics Theory and Experiment. 2013(9). P09020–P09020. 3 indexed citations
12.
Furtlehner, Cyril & Marc Schoenauer. (2010). Multi-Objective 3-SAT with Survey-Propagation. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
13.
Furtlehner, Cyril, Michèle Sébag, & Xiangliang Zhang. (2010). Scaling analysis of affinity propagation. Physical Review E. 81(6). 66102–66102. 5 indexed citations
14.
Furtlehner, Cyril, et al.. (2009). Learning multiple belief propagation fixed points for real time inference. Physica A Statistical Mechanics and its Applications. 389(1). 149–163. 2 indexed citations
15.
Zhang, Xiangliang, Cyril Furtlehner, & Michèle Sébag. (2008). Frugal and Online Affinity Propagation. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
16.
Fayolle, Guy & Cyril Furtlehner. (2007). Stochastic Dynamics of Discrete Curves and Multi-Type Exclusion Processes. Journal of Statistical Physics. 127(5). 1049–1094. 4 indexed citations
17.
Furtlehner, Cyril, et al.. (2006). Belief-Propagation Algorithm for a Traffic Prediction System based on Probe Vehicles. SPIRE - Sciences Po Institutional REpository. 23. 1 indexed citations
18.
Desbois, J., et al.. (1995). Random magnetic impurities and the Landau problem. Nuclear Physics B. 453(3). 759–776. 17 indexed citations
19.
Furtlehner, Cyril & Stéphane Ouvry. (1995). CALOGERO MODELS FOR DISTINGUISHABLE PARTICLES. Modern Physics Letters B. 9(8). 503–509. 6 indexed citations
20.
Pierański, P., et al.. (1993). Physics of smectic membranes. Physica A Statistical Mechanics and its Applications. 194(1-4). 364–389. 167 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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