Karol Desnos

592 total citations
24 papers, 95 citations indexed

About

Karol Desnos is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Karol Desnos has authored 24 papers receiving a total of 95 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hardware and Architecture, 11 papers in Computer Networks and Communications and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Karol Desnos's work include Embedded Systems Design Techniques (14 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (11 papers). Karol Desnos is often cited by papers focused on Embedded Systems Design Techniques (14 papers), Interconnection Networks and Systems (11 papers) and Parallel Computing and Optimization Techniques (11 papers). Karol Desnos collaborates with scholars based in France, Spain and United States. Karol Desnos's co-authors include Maxime Pelcat, Jean-François Nezan, Rubén Salvador, Raúl Guerra, Daniel Ménard, Sebastián López, C. Sanz, Samuel Ortega, Himar Fabelo and Gustavo M. Callicó and has published in prestigious journals such as IEEE Access, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Microelectronics Reliability.

In The Last Decade

Karol Desnos

17 papers receiving 93 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karol Desnos France 7 43 29 20 17 16 24 95
Bumsoo Kim South Korea 4 47 1.1× 55 1.9× 15 0.8× 44 2.6× 5 0.3× 8 115
Tanja Harbaum Germany 4 23 0.5× 18 0.6× 21 1.1× 14 0.8× 3 0.2× 33 69
Cristóvão Cruz Finland 3 9 0.2× 12 0.4× 8 0.4× 73 4.3× 45 2.8× 4 102
Agustín Martínez Spain 4 22 0.5× 12 0.4× 9 0.5× 5 0.3× 5 0.3× 19 50
Scott Biersdorff United States 5 70 1.6× 69 2.4× 13 0.7× 6 0.4× 6 93
Son Nguyen United States 7 22 0.5× 43 1.5× 22 1.1× 12 0.7× 1 0.1× 23 98
Kerstin Lemke‐Rust Germany 5 45 1.0× 11 0.4× 14 0.7× 44 2.6× 6 0.4× 14 90
Mahmoud Khairy United States 7 108 2.5× 94 3.2× 51 2.5× 23 1.4× 1 0.1× 10 155
C. Diez Pardos Spain 6 64 1.5× 57 2.0× 14 0.7× 47 2.8× 2 0.1× 15 137
Reza Yazdani Aminabadi United States 4 27 0.6× 38 1.3× 13 0.7× 31 1.8× 4 120

Countries citing papers authored by Karol Desnos

Since Specialization
Citations

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

Fields of papers citing papers by Karol Desnos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karol Desnos

This figure shows the co-authorship network connecting the top 25 collaborators of Karol Desnos. A scholar is included among the top collaborators of Karol Desnos 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 Karol Desnos. Karol Desnos 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.
Gerzaguet, Robin, et al.. (2024). How to Design a Channel-Resilient Database for Radio Frequency Fingerprint Identification?. SPIRE - Sciences Po Institutional REpository. 1655–1660.
2.
Gerzaguet, Robin, et al.. (2024). Understanding Radio Frequency Fingerprint Identification With RiFyFi Virtual Databases. IEEE Open Journal of the Communications Society. 5. 3735–3752.
3.
Desnos, Karol, et al.. (2024). Automated level-based clustering of dataflow actors for controlled scheduling complexity. Journal of Systems Architecture. 154. 103217–103217.
4.
Desnos, Karol, et al.. (2024). Multicore and Network Topology Codesign for Pareto-Optimal Multinode Architecture. SPIRE - Sciences Po Institutional REpository. 701–705.
5.
Desnos, Karol, et al.. (2023). Evaluation of Image Quality Assessment Metrics for Semantic Segmentation in a Machine-to-Machine Communication Scenario. SPIRE - Sciences Po Institutional REpository. 1–6. 1 indexed citations
6.
Gerzaguet, Robin, et al.. (2023). Tangled Program Graph for Radio-Frequency Fingerprint Identification. 2 indexed citations
7.
Liu, Yanzhou, et al.. (2020). Passive-Active Flowgraphs for Efficient Modeling and Design of Signal Processing Systems. Journal of Signal Processing Systems. 92(10). 1133–1151.
8.
Desnos, Karol, et al.. (2019). DAMHSE: Programming heterogeneous MPSoCs with hardware acceleration using dataflow-based design space exploration and automated rapid prototyping. Microprocessors and Microsystems. 71. 102882–102882. 6 indexed citations
9.
Madroñal, Daniel, Raquel Lazcano, Karol Desnos, et al.. (2019). PAPIFY: Automatic Instrumentation and Monitoring of Dynamic Dataflow Applications Based on PAPI. IEEE Access. 7. 111801–111812. 3 indexed citations
10.
Camus, Vincent, et al.. (2019). Adaptive simulation-based framework for error characterization of inexact circuits. Microelectronics Reliability. 96. 60–70.
11.
Desnos, Karol, et al.. (2019). Numerical Representation of Directed Acyclic Graphs for Efficient Dataflow Embedded Resource Allocation. ACM Transactions on Embedded Computing Systems. 18(5s). 1–22.
12.
Camus, Vincent, et al.. (2018). Cassis: Characterization with Adaptive Sample- Size Inferential Statistics Applied to Inexact Circuits. HAL (Le Centre pour la Communication Scientifique Directe). 677–681. 4 indexed citations
13.
Palumbo, Francesca, Carlo Sau, Rubén Salvador, et al.. (2018). Dataflow-Functional High-Level Synthesis for Coarse-Grained Reconfigurable Accelerators. IEEE Embedded Systems Letters. 11(3). 69–72. 8 indexed citations
14.
Mercat, Alexandre, et al.. (2017). Smart search space reduction for approximate computing: A low energy HEVC encoder case study. Journal of Systems Architecture. 80. 56–67. 6 indexed citations
15.
Baklouti, Mouna, et al.. (2017). Comparing Three Clustering-based Scheduling Methods for Energy-Aware Rapid Design of MP2SoCs. Journal of Signal Processing Systems. 90(4). 537–570. 2 indexed citations
16.
Lazcano, Raquel, Daniel Madroñal, Karol Desnos, et al.. (2016). Parallelism exploitation of a PCA algorithm for hyperspectral images using RVC-CAL. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10007. 100070H–100070H. 2 indexed citations
17.
Desnos, Karol, Maxime Pelcat, Jean-François Nezan, & Slaheddine Aridhi. (2016). On Memory Reuse Between Inputs and Outputs of Dataflow Actors. ACM Transactions on Embedded Computing Systems. 15(2). 1–25. 6 indexed citations
18.
Desnos, Karol, Maxime Pelcat, Jean-François Nezan, & Slaheddine Aridhi. (2014). Memory Analysis and Optimized Allocation of Dataflow Applications on Shared-Memory MPSoCs. Journal of Signal Processing Systems. 80(1). 19–37. 6 indexed citations
19.
Zhou, Zheng, William Plishker, Shuvra S. Bhattacharyya, et al.. (2014). Scheduling of Parallelized Synchronous Dataflow Actors for Multicore Signal Processing. Journal of Signal Processing Systems. 83(3). 309–328. 4 indexed citations
20.
Baklouti, Mouna, et al.. (2014). MARTE to ΠSDF transformation for data-intensive applications analysis. 4. 1–8. 2 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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