Franck Vermet

619 total citations
22 papers, 234 citations indexed

About

Franck Vermet is a scholar working on Artificial Intelligence, Condensed Matter Physics and Computer Networks and Communications. According to data from OpenAlex, Franck Vermet has authored 22 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Condensed Matter Physics and 4 papers in Computer Networks and Communications. Recurrent topics in Franck Vermet's work include Neural Networks and Applications (6 papers), Theoretical and Computational Physics (6 papers) and Advanced X-ray and CT Imaging (4 papers). Franck Vermet is often cited by papers focused on Neural Networks and Applications (6 papers), Theoretical and Computational Physics (6 papers) and Advanced X-ray and CT Imaging (4 papers). Franck Vermet collaborates with scholars based in France, Germany and United States. Franck Vermet's co-authors include Matthias Löwe, George C. Kagadis, Dimitris Visvikis, Mathieu Hatt, Panagiotis Papadimitroulas, Neo Christopher Chung, Corwin J. Wright, Robert B. Scott, Pierre Ailliot and Remco van der Hofstad and has published in prestigious journals such as IEEE Transactions on Information Theory, Journal of Physical Oceanography and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Franck Vermet

19 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franck Vermet France 7 124 68 44 35 25 22 234
Yifeng Zeng United States 13 96 0.8× 68 1.0× 127 2.9× 12 0.3× 2 0.1× 38 385
Cynthia Zeng United States 3 38 0.3× 74 1.1× 17 0.4× 6 0.2× 43 1.7× 3 188
Devinder Kumar Canada 7 253 2.0× 147 2.2× 31 0.7× 183 5.2× 26 1.0× 18 400
Mingyuan Liu China 7 108 0.9× 111 1.6× 22 0.5× 26 0.7× 17 0.7× 18 292
Turid Torheim United Kingdom 11 284 2.3× 68 1.0× 66 1.5× 42 1.2× 7 0.3× 16 449
Edward Oczeretko Poland 10 71 0.6× 55 0.8× 41 0.9× 64 1.8× 5 0.2× 27 295
Zohair Al‐Ameen Iraq 12 72 0.6× 45 0.7× 45 1.0× 14 0.4× 3 0.1× 48 511
Darryl Wright United States 7 121 1.0× 63 0.9× 21 0.5× 32 0.9× 16 0.6× 13 326
Ruijie Yang China 10 200 1.6× 31 0.5× 101 2.3× 109 3.1× 20 0.8× 26 364
Yuxuan Zheng China 9 85 0.7× 77 1.1× 29 0.7× 37 1.1× 4 0.2× 18 413

Countries citing papers authored by Franck Vermet

Since Specialization
Citations

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

Fields of papers citing papers by Franck Vermet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franck Vermet

This figure shows the co-authorship network connecting the top 25 collaborators of Franck Vermet. A scholar is included among the top collaborators of Franck Vermet 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 Franck Vermet. Franck Vermet 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.
Vermet, Franck, et al.. (2024). Measuring and mitigating biases in motor insurance pricing. European Actuarial Journal. 14(3). 833–869.
2.
Bousse, Alexandre, et al.. (2024). Diffusion Posterior Sampling for Synergistic Reconstruction in Spectral Computed Tomography. SPIRE - Sciences Po Institutional REpository. 6. 1–5. 1 indexed citations
3.
Bousse, Alexandre, et al.. (2024). Spectral CT Two-Step and One-Step Material Decomposition Using Diffusion Posterior Sampling. SPIRE - Sciences Po Institutional REpository. 1506–1510.
4.
Bousse, Alexandre, Franck Vermet, Jacques Froment, et al.. (2023). Uconnect: Synergistic Spectral CT Reconstruction With U-Nets Connecting the Energy Bins. IEEE Transactions on Radiation and Plasma Medical Sciences. 8(2). 222–233. 2 indexed citations
5.
Vermet, Franck, et al.. (2022). Model transparency and interpretability: survey and application to the insurance industry. European Actuarial Journal. 12(2). 443–484. 8 indexed citations
6.
Papadimitroulas, Panagiotis, Neo Christopher Chung, Franck Vermet, et al.. (2021). Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization. Physica Medica. 83. 108–121. 144 indexed citations
7.
Löwe, Matthias, et al.. (2021). Some Remarks on Replicated Simulated Annealing. Journal of Statistical Physics. 182(3). 1 indexed citations
8.
Löwe, Matthias, et al.. (2020). Multi-group binary choice with social interaction and a random communication structure—A random graph approach. Physica A Statistical Mechanics and its Applications. 556. 124735–124735. 6 indexed citations
9.
Löwe, Matthias, et al.. (2015). On the capacity of an associative memory model based on neural cliques. Statistics & Probability Letters. 106. 256–261. 5 indexed citations
10.
Wright, Corwin J., et al.. (2012). Global Observations of Ocean-Bottom Subinertial Current Dissipation. Journal of Physical Oceanography. 43(2). 402–417. 27 indexed citations
11.
Löwe, Matthias & Franck Vermet. (2011). The Hopfield Model on a Sparse Erdös-Renyi Graph. Journal of Statistical Physics. 143(1). 205–214. 7 indexed citations
12.
Löwe, Matthias & Franck Vermet. (2009). The swapping algorithm for the Hopfield model with two patterns. Stochastic Processes and their Applications. 119(10). 3471–3493. 2 indexed citations
13.
Löwe, Matthias & Franck Vermet. (2008). Capacity bounds for the CDMA system and a neural network: a moderate deviations approach. ESAIM Probability and Statistics. 13. 343–362. 1 indexed citations
14.
Löwe, Matthias & Franck Vermet. (2007). The capacity of q-state Potts neural networks with parallel retrieval dynamics. Statistics & Probability Letters. 77(14). 1505–1514. 9 indexed citations
15.
Hofstad, Remco van der, Matthias Löwe, & Franck Vermet. (2006). The Effect of System Load on the Existence of Bit Errors in CDMA With and Without Parallel Interference Cancelation. IEEE Transactions on Information Theory. 52(10). 4733–4741. 4 indexed citations
16.
Löwe, Matthias & Franck Vermet. (2005). The storage capacity of the Blume–Emery–Griffiths neural network. Journal of Physics A Mathematical and General. 38(16). 3483–3503. 2 indexed citations
17.
Löwe, Matthias & Franck Vermet. (2005). The storage capacity of the Hopfield model and moderate deviations. Statistics & Probability Letters. 75(4). 237–248. 6 indexed citations
18.
Vermet, Franck. (1998). Phase Transition and Law of Large Numbers for a Non-Symmetric One-Dimensional Random Walk with Self-Interactions. Journal of Applied Probability. 35(1). 55–63. 1 indexed citations
19.
20.
Vermet, Franck. (1992). Discrétisation d'une équation différentielle stochastique dont les coefficients ne dépendent pas du temps et calcul approché d'espérances de fonctionnelles de la solution. French digital mathematics library (Numdam). 1–65. 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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