Alexis Decurninge

403 total citations
24 papers, 209 citations indexed

About

Alexis Decurninge is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Alexis Decurninge has authored 24 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 6 papers in Artificial Intelligence. Recurrent topics in Alexis Decurninge's work include Advanced MIMO Systems Optimization (11 papers), Advanced Wireless Communication Techniques (8 papers) and Advanced Statistical Methods and Models (5 papers). Alexis Decurninge is often cited by papers focused on Advanced MIMO Systems Optimization (11 papers), Advanced Wireless Communication Techniques (8 papers) and Advanced Statistical Methods and Models (5 papers). Alexis Decurninge collaborates with scholars based in France, Sweden and Canada. Alexis Decurninge's co-authors include Maxime Guillaud, Khac–Hoang Ngo, Sheng Yang, Paul Ferrand, Frédéric Barbaresco, Luis G. Ordóñez, Dirk Slock, Florian Kaltenberger, Luc Deneire and Wei Zhang and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and IEEE Transactions on Wireless Communications.

In The Last Decade

Alexis Decurninge

22 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexis Decurninge France 6 155 59 53 45 19 24 209
Zhengdao Yuan China 8 285 1.8× 58 1.0× 92 1.7× 36 0.8× 24 1.3× 19 335
Fangqing Tan China 11 241 1.6× 103 1.7× 73 1.4× 46 1.0× 12 0.6× 40 306
Gwenael Poitau Canada 9 230 1.5× 99 1.7× 41 0.8× 13 0.3× 21 1.1× 32 282
Ahmad Nimr Germany 10 252 1.6× 72 1.2× 56 1.1× 40 0.9× 58 3.1× 39 303
Roberto Bomfin Germany 9 214 1.4× 107 1.8× 59 1.1× 32 0.7× 23 1.2× 33 280
Chang Kyung Sung Australia 9 203 1.3× 129 2.2× 27 0.5× 23 0.5× 21 1.1× 40 236
Janis Werner Finland 10 279 1.8× 92 1.6× 130 2.5× 90 2.0× 19 1.0× 25 341
Ali Waqar Azim France 10 168 1.1× 47 0.8× 17 0.3× 34 0.8× 17 0.9× 27 213
So Ryoung Park South Korea 10 235 1.5× 176 3.0× 63 1.2× 20 0.4× 33 1.7× 46 299
Arun Pachai Kannu India 9 223 1.4× 131 2.2× 23 0.4× 25 0.6× 12 0.6× 31 256

Countries citing papers authored by Alexis Decurninge

Since Specialization
Citations

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

Fields of papers citing papers by Alexis Decurninge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Decurninge

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Decurninge. A scholar is included among the top collaborators of Alexis Decurninge 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 Alexis Decurninge. Alexis Decurninge 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.
Kharbech, Sofiane & Alexis Decurninge. (2024). Massive Unsourced Random Access with Tensor-Based Modulation and Multi-Antenna Receiver over Frequency-Selective Channels. 1077–1081. 1 indexed citations
2.
Decurninge, Alexis, et al.. (2024). An Introduction to Complex Random Tensors. IEEE Access. 12. 157901–157923.
3.
Decurninge, Alexis, et al.. (2023). Unsourced Random Access With Tensor-Based and Coherent Modulations. 1–6. 1 indexed citations
4.
Utkovski, Zoran, et al.. (2022). Constant Weight Codes With Gabor Dictionaries and Bayesian Decoding for Massive Random Access. IEEE Transactions on Wireless Communications. 22(5). 2917–2931. 2 indexed citations
5.
Decurninge, Alexis, Paul Ferrand, & Maxime Guillaud. (2022). Massive Random Access with Tensor-based Modulation in the Presence of Timing Offsets. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 1061–1066. 4 indexed citations
6.
Ngo, Khac–Hoang, Sheng Yang, Maxime Guillaud, & Alexis Decurninge. (2022). Joint Constellation Design for Noncoherent MIMO Multiple-Access Channels. IEEE Transactions on Information Theory. 68(11). 7281–7305. 10 indexed citations
7.
Decurninge, Alexis, Ingmar Land, & Maxime Guillaud. (2020). A Tensor-Based Approach to Massive Random Access. 1147–1151. 1 indexed citations
8.
Decurninge, Alexis, et al.. (2018). A Framework for Over-the-Air Reciprocity Calibration for TDD Massive MIMO Systems. IEEE Transactions on Wireless Communications. 17(9). 5975–5990. 52 indexed citations
9.
Decurninge, Alexis, Luis G. Ordóñez, Paul Ferrand, et al.. (2018). CSI-based Outdoor Localization for Massive MIMO: Experiments with a Learning Approach. 1–6. 52 indexed citations
10.
Ngo, Khac–Hoang, Alexis Decurninge, Maxime Guillaud, & Sheng Yang. (2018). A Multiple Access Scheme for Non-Coherent SIMO Communications. 2018 52nd Asilomar Conference on Signals, Systems, and Computers. 1846–1850. 6 indexed citations
11.
Ferrand, Paul, Alexis Decurninge, Maxime Guillaud, & Luis G. Ordóñez. (2017). Efficient Channel State Information Acquisition in Massive MIMO Systems using Non-Orthogonal Pilots. International ITG Workshop on Smart Antennas. 1–8. 5 indexed citations
12.
Decurninge, Alexis & Maxime Guillaud. (2017). Covariance estimation with projected data: Applications to CSI covariance acquisition and tracking. 65. 628–632. 3 indexed citations
13.
Decurninge, Alexis & Frédéric Barbaresco. (2016). Robust Burg Estimation of Radar Scatter Matrix for Mixtures of Gaussian Stationary Autoregressive Vectors. arXiv (Cornell University). 3 indexed citations
14.
Broniatowski, Michel & Alexis Decurninge. (2016). Estimation for Models Defined by Conditions on Their L-Moments. IEEE Transactions on Information Theory. 62(9). 5181–5198. 2 indexed citations
15.
Decurninge, Alexis, Maxime Guillaud, & Dirk Slock. (2016). Riemannian coding for covariance interpolation in massive MIMO frequency division duplex systems. 1–5. 1 indexed citations
16.
Decurninge, Alexis & Frédéric Barbaresco. (2015). Robust burg estimation of radar scatter matrix for constrained stationary SIRV. 49–52. 1 indexed citations
17.
Decurninge, Alexis & Frédéric Barbaresco. (2015). Robust Burg estimation of stationary autoregressive mixtures covariance. AIP conference proceedings. 1641. 387–394. 1 indexed citations
18.
19.
Balaji, Bhashyam, Frédéric Barbaresco, & Alexis Decurninge. (2014). Information geometry and estimation of Toeplitz covariance matrices. 1–4. 19 indexed citations
20.
Decurninge, Alexis, et al.. (2013). Robust L 1 /geometric covariance matrix estimator: Comparison with huber-type M-estimator. International Radar Symposium. 1. 325–330. 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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