Marc Vuffray

858 total citations
26 papers, 245 citations indexed

About

Marc Vuffray is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, Marc Vuffray has authored 26 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Electrical and Electronic Engineering and 8 papers in Computer Networks and Communications. Recurrent topics in Marc Vuffray's work include Error Correcting Code Techniques (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Information and Cryptography (7 papers). Marc Vuffray is often cited by papers focused on Error Correcting Code Techniques (7 papers), Quantum Computing Algorithms and Architecture (7 papers) and Quantum Information and Cryptography (7 papers). Marc Vuffray collaborates with scholars based in United States, Switzerland and France. Marc Vuffray's co-authors include Andrey Y. Lokhov, Joachim Stubbe, Sidhant Misra, Nicolas Macris, Vahid Aref, Michael Chertkov, Carleton Coffrin, David Métivier, Rüdiger Urbanke and Tameem Albash and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Power Systems.

In The Last Decade

Marc Vuffray

23 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Vuffray United States 9 81 65 56 46 40 26 245
Brian Sutton United States 8 43 0.5× 80 1.2× 23 0.4× 67 1.5× 169 4.2× 15 322
Carlo Lucibello Italy 12 175 2.2× 28 0.4× 24 0.4× 29 0.6× 44 1.1× 29 353
Bo-Ying Wang China 10 42 0.5× 79 1.2× 24 0.4× 18 0.4× 114 2.9× 23 266
Suk-Geun Hwang South Korea 8 27 0.3× 89 1.4× 23 0.4× 23 0.5× 125 3.1× 48 306
Sudhir R. Ghorpade India 9 118 1.5× 75 1.2× 58 1.0× 28 0.6× 50 1.3× 33 241
Yanpeng Zheng China 11 24 0.3× 48 0.7× 21 0.4× 22 0.5× 133 3.3× 42 298
Frank Vallentin Netherlands 8 52 0.6× 39 0.6× 11 0.2× 11 0.2× 102 2.5× 27 264
Léo Miolane France 6 78 1.0× 17 0.3× 33 0.6× 16 0.3× 19 0.5× 7 241
Aleksandr Mikhalev Russia 9 35 0.4× 34 0.5× 20 0.4× 7 0.2× 54 1.4× 28 205
Andrei Romashchenko Russia 7 99 1.2× 100 1.5× 75 1.3× 12 0.3× 175 4.4× 25 293

Countries citing papers authored by Marc Vuffray

Since Specialization
Citations

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

Fields of papers citing papers by Marc Vuffray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Vuffray

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Vuffray. A scholar is included among the top collaborators of Marc Vuffray 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 Marc Vuffray. Marc Vuffray 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.
Vuffray, Marc, et al.. (2025). Cost of emulating a small quantum annealing problem in the circuit model. Physical review. A. 111(6). 1 indexed citations
2.
Vuffray, Marc, et al.. (2025). Forced Oscillation Source Localization From Generator Measurements. IEEE Transactions on Power Systems. 41(2). 1473–1483.
3.
Vuffray, Marc, et al.. (2024). QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. 764–773. 3 indexed citations
4.
Vuffray, Marc, et al.. (2024). Learning energy-based representations of quantum many-body states. Physical Review Research. 6(3).
5.
Albash, Tameem, et al.. (2024). On the emerging potential of quantum annealing hardware for combinatorial optimization. Journal of Heuristics. 30(5-6). 325–358. 12 indexed citations
6.
Vuffray, Marc, et al.. (2023). Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. arXiv (Cornell University). 574. 1369–1377. 2 indexed citations
7.
Lokhov, Andrey Y., et al.. (2023). Locating the Source of Forced Oscillations in Transmission Power Grids. SHILAP Revista de lepidopterología. 2(2). 3 indexed citations
8.
Vuffray, Marc, et al.. (2023). Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing. Physical Review Applied. 19(3). 7 indexed citations
9.
Vuffray, Marc, et al.. (2022). Programmable Quantum Annealers as Noisy Gibbs Samplers. PRX Quantum. 3(2). 19 indexed citations
10.
Métivier, David, Marc Vuffray, & Sidhant Misra. (2019). Efficient Polynomial Chaos Expansion for Uncertainty Quantification in\n Power Systems. arXiv (Cornell University). 20 indexed citations
11.
Lokhov, Andrey Y., Marc Vuffray, Sidhant Misra, & Michael Chertkov. (2018). Optimal structure and parameter learning of Ising models. Science Advances. 4(3). e1700791–e1700791. 39 indexed citations
12.
Misra, Sidhant, Marc Vuffray, Andrey Y. Lokhov, & Michael Chertkov. (2017). Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization.. arXiv (Cornell University). 1 indexed citations
13.
Vuffray, Marc, Sidhant Misra, Andrey Y. Lokhov, & Michael Chertkov. (2016). Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. Neural Information Processing Systems. 29. 2595–2603. 8 indexed citations
14.
Macris, Nicolas & Marc Vuffray. (2016). The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion. IEEE Transactions on Information Theory. 62(7). 4003–4023.
15.
Deka, Deepjyoti, Scott Backhaus, Michael Chertkov, et al.. (2016). Machine Learning for the Grid. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
16.
Aref, Vahid, Nicolas Macris, & Marc Vuffray. (2015). Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation. IEEE Transactions on Information Theory. 61(7). 3954–3979. 19 indexed citations
17.
Vuffray, Marc. (2014). The Cavity Method in Coding Theory. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2 indexed citations
18.
Macris, Nicolas & Marc Vuffray. (2012). Beyond the Bethe free energy of LDPC codes via polymer expansions. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2331–2335. 2 indexed citations
19.
Stubbe, Joachim & Marc Vuffray. (2010). Bound states of the Schrödinger–Newton model in low dimensions. Nonlinear Analysis. 73(10). 3171–3178. 5 indexed citations
20.
Stubbe, Joachim, et al.. (2008). Stationary solutions of the Schrödinger-Newton model---an ODE approach. Differential and Integral Equations. 21(7-8). 57 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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