Christophe Moy

1.5k total citations
56 papers, 392 citations indexed

About

Christophe Moy is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Management Science and Operations Research. According to data from OpenAlex, Christophe Moy has authored 56 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 38 papers in Electrical and Electronic Engineering and 10 papers in Management Science and Operations Research. Recurrent topics in Christophe Moy's work include Cognitive Radio Networks and Spectrum Sensing (26 papers), Energy Harvesting in Wireless Networks (11 papers) and Wireless Communication Networks Research (11 papers). Christophe Moy is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (26 papers), Energy Harvesting in Wireless Networks (11 papers) and Wireless Communication Networks Research (11 papers). Christophe Moy collaborates with scholars based in France, Singapore and Lebanon. Christophe Moy's co-authors include Jacques Palicot, Philippe Mary, Jacques Palicot, A. P. Vinod, Damien Ernst, Sumit J. Darak, Honggang Zhang, Apostolos Kountouris, Amor Nafkha and Stéphane Paquelet and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Christophe Moy

54 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Moy France 11 242 242 53 53 42 56 392
John Grosspietsch United States 8 306 1.3× 331 1.4× 58 1.1× 7 0.1× 28 0.7× 16 463
Srikrishna Bhashyam India 15 668 2.8× 849 3.5× 40 0.8× 22 0.4× 46 1.1× 95 932
E. Veronica Belmega France 13 259 1.1× 369 1.5× 7 0.1× 45 0.8× 52 1.2× 41 445
Himanshu Tyagi India 12 201 0.8× 276 1.1× 14 0.3× 11 0.2× 134 3.2× 64 438
Salil K. Sanyal India 11 170 0.7× 180 0.7× 84 1.6× 5 0.1× 105 2.5× 47 365
Sang Yong Han South Korea 8 148 0.6× 105 0.4× 52 1.0× 6 0.1× 106 2.5× 13 303
Viktória Fodor Sweden 15 486 2.0× 320 1.3× 30 0.6× 10 0.2× 92 2.2× 71 648
Gi-Hong Im South Korea 20 858 3.5× 1.1k 4.7× 128 2.4× 15 0.3× 46 1.1× 104 1.3k
Guy Bois Canada 11 124 0.5× 293 1.2× 45 0.8× 6 0.1× 37 0.9× 80 568
E. Ho Canada 14 99 0.4× 503 2.1× 99 1.9× 36 0.7× 83 2.0× 23 639

Countries citing papers authored by Christophe Moy

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Moy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Moy

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Moy. A scholar is included among the top collaborators of Christophe Moy 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 Christophe Moy. Christophe Moy 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.
Uguen, Bernard, et al.. (2024). Temporal Analysis of LoRaWAN Data Packets: Unveiling Patterns for Improving Secure-Oriented IoT Designs. SPIRE - Sciences Po Institutional REpository. 532–539.
2.
Salvador, Rubén, et al.. (2024). Novel Digital NGD Methodology for FPGA-Based Embedded Systems. IEEE Access. 12. 71520–71534. 1 indexed citations
3.
Uguen, Bernard, et al.. (2023). Aggregation of Contiguous Packets in an Actual LoRaWAN Passive Packet Sniffer. SPIRE - Sciences Po Institutional REpository. 2 indexed citations
4.
Uguen, Bernard, et al.. (2023). Re-identifying of LoRa Devices in an Actual Passive Packet Sniffer. SPIRE - Sciences Po Institutional REpository. 1–6.
5.
Uguen, Bernard, et al.. (2022). Decentralized Adaptive Spectrum Learning in Wireless IoT Networks Based on Channel Quality Information. IEEE Internet of Things Journal. 9(20). 19660–19669. 5 indexed citations
6.
Uguen, Bernard, et al.. (2021). Modelling of the packet delivery rate in an actual LoRaWAN network. Electronics Letters. 57(11). 460–462. 5 indexed citations
7.
Mansour, Ali, et al.. (2021). Distributed Competitive Decision Making Using Multi-Armed Bandit Algorithms. Wireless Personal Communications. 118(2). 1165–1188. 3 indexed citations
8.
Mansour, Ali, et al.. (2020). Dynamic Decision-Making Process in the Opportunistic Spectrum Access. Advances in Science Technology and Engineering Systems Journal. 5(4). 223–233. 3 indexed citations
9.
Moy, Christophe, et al.. (2018). Improvement of the LPWAN AMI backhaul’s latency thanks to reinforcement learning algorithms. EURASIP Journal on Wireless Communications and Networking. 2018(1). 6 indexed citations
10.
Glattli, D. C., et al.. (2018). From quantum physics to digital communication: Single sideband continuous phase modulation. Comptes Rendus Physique. 19(1-2). 54–63. 4 indexed citations
11.
Darak, Sumit J., Christophe Moy, & Jacques Palicot. (2017). Distributed decision making policy for frequency band selection boosting RF energy harvesting rate in wireless sensor nodes. Wireless Networks. 24(8). 3189–3203. 2 indexed citations
12.
Moy, Christophe & Jacques Palicot. (2015). Software radio: a catalyst for wireless innovation. IEEE Communications Magazine. 53(9). 24–30. 13 indexed citations
13.
Moy, Christophe, et al.. (2013). Management architecture for green cognitive radio equipments. Transactions on Emerging Telecommunications Technologies. 24(7-8). 683–691. 2 indexed citations
14.
Baldini, Gianmarco, et al.. (2011). The EULER project: application of software defined radio in joint security operations. IEEE Communications Magazine. 49(10). 55–62. 10 indexed citations
15.
Ernst, Damien, et al.. (2010). Upper Confidence Bound Based Decision Making Strategies and Dynamic Spectrum Access. 1–5. 30 indexed citations
16.
Michael, Navin, Christophe Moy, A. P. Vinod, & Jacques Palicot. (2010). Area-power trade-offs for flexible filtering in green radios. Journal of Communications and Networks. 12(2). 158–167. 1 indexed citations
17.
Moy, Christophe, et al.. (2010). A co-design methodology based on model driven architecture for real time embedded systems. Mathematical and Computer Modelling. 53(3-4). 471–484. 18 indexed citations
18.
Moy, Christophe. (2009). High-Level Design Approach for the Specification of Cognitive Radio Equipments Management APIs. Journal of Network and Systems Management. 18(1). 64–96. 8 indexed citations
19.
Moy, Christophe, et al.. (2008). Graphical modeling and optimization of air interface standards for Software Defined Radios. 57. 473–479. 1 indexed citations
20.
Palicot, Jacques, et al.. (2007). A New Standard Recognition Sensor For Cognitive Radio Terminals. INFM-OAR (INFN Catania). 856–860. 7 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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