Jean-Philippe Diguet

725 total citations
30 papers, 225 citations indexed

About

Jean-Philippe Diguet is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Jean-Philippe Diguet has authored 30 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Jean-Philippe Diguet's work include Advanced Memory and Neural Computing (10 papers), Interconnection Networks and Systems (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Jean-Philippe Diguet is often cited by papers focused on Advanced Memory and Neural Computing (10 papers), Interconnection Networks and Systems (10 papers) and Parallel Computing and Optimization Techniques (9 papers). Jean-Philippe Diguet collaborates with scholars based in France, Lebanon and Japan. Jean-Philippe Diguet's co-authors include Guy Gogniat, Mostafa Rizk, Marius Strum, Amer Baghdadi, J. Jomaah, Djamel Benazzouz, Naoya Onizawa, Takahiro Hanyu, Kévin Martin and Prasun Ghosal and has published in prestigious journals such as Sensors, IEEE Transactions on Parallel and Distributed Systems and Ocean Engineering.

In The Last Decade

Jean-Philippe Diguet

29 papers receiving 214 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean-Philippe Diguet France 10 113 80 77 44 30 30 225
René van Leuken Netherlands 10 185 1.6× 103 1.3× 95 1.2× 29 0.7× 16 0.5× 58 299
Syed Kamran Haider China 9 104 0.9× 52 0.7× 88 1.1× 80 1.8× 14 0.5× 29 248
Mostafa Rizk Lebanon 8 95 0.8× 31 0.4× 28 0.4× 33 0.8× 19 0.6× 33 198
Ashwin Sanjay Lele United States 9 117 1.0× 35 0.4× 44 0.6× 49 1.1× 22 0.7× 28 210
Daniel Weyer United States 11 288 2.5× 215 2.7× 24 0.3× 55 1.3× 87 2.9× 27 383
Omar Elkeelany United States 10 163 1.4× 141 1.8× 124 1.6× 94 2.1× 29 1.0× 52 338
Georgios Selimis Netherlands 7 184 1.6× 107 1.3× 68 0.9× 62 1.4× 33 1.1× 23 302
Venkata Chaitanya Krishna Chekuri United States 9 219 1.9× 96 1.2× 34 0.4× 53 1.2× 12 0.4× 22 287
Sumit K. Mandal United States 10 206 1.8× 79 1.0× 108 1.4× 46 1.0× 10 0.3× 31 310
Kyung Ki Kim United States 10 274 2.4× 47 0.6× 36 0.5× 45 1.0× 10 0.3× 64 373

Countries citing papers authored by Jean-Philippe Diguet

Since Specialization
Citations

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

Fields of papers citing papers by Jean-Philippe Diguet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean-Philippe Diguet. 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 Jean-Philippe Diguet. The network helps show where Jean-Philippe Diguet may publish in the future.

Co-authorship network of co-authors of Jean-Philippe Diguet

This figure shows the co-authorship network connecting the top 25 collaborators of Jean-Philippe Diguet. A scholar is included among the top collaborators of Jean-Philippe Diguet 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 Jean-Philippe Diguet. Jean-Philippe Diguet 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.
Kühn, V., et al.. (2024). AI4I-PMDI: Predictive maintenance datasets with complex industrial settings’ irregularities. Procedia Computer Science. 246. 1201–1209. 2 indexed citations
2.
Baghdadi, Amer, et al.. (2022). MOL-Based In-Memory Computing of Binary Neural Networks. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(7). 869–880. 1 indexed citations
3.
Diguet, Jean-Philippe, et al.. (2022). The Impact of Cache and Dynamic Memory Management in Static Dataflow Applications. Journal of Signal Processing Systems. 94(7). 721–738.
4.
Rizk, Mostafa, et al.. (2022). Optimization of Deep-Learning Detection of Humans in Marine Environment on Edge Devices. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 8 indexed citations
5.
Diguet, Jean-Philippe, et al.. (2022). Near-Optimal Covering Solution for USV Coastal Monitoring using PAES. Journal of Intelligent & Robotic Systems. 106(1). 5 indexed citations
6.
Benazzouz, Djamel, et al.. (2021). Unmanned surface vehicle energy consumption modelling under various realistic disturbances integrated into simulation environment. Ocean Engineering. 222. 108560–108560. 25 indexed citations
7.
Ghosal, Prasun, et al.. (2021). A Hybrid Adaptive Strategy for Task Allocation and Scheduling for Multi-applications on NoC-based Multicore Systems with Resource Sharing. HAL (Le Centre pour la Communication Scientifique Directe). 1663–1666. 2 indexed citations
8.
Ghosal, Prasun, et al.. (2020). Adaptive Task Allocation and Scheduling on NoC-based Multicore Platforms with Multitasking Processors. ACM Transactions on Embedded Computing Systems. 20(1). 1–26. 9 indexed citations
9.
Rizk, Mostafa, Amer Baghdadi, Jean-Philippe Diguet, et al.. (2020). Memristive Computational Memory Using Memristor Overwrite Logic (MOL). IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(11). 2370–2382. 18 indexed citations
10.
Diguet, Jean-Philippe, et al.. (2020). Broadcast Mechanism Based on Hybrid Wireless/Wired NoC for Efficient Barrier Synchronization in Parallel Computing. HAL (Le Centre pour la Communication Scientifique Directe). 265–270. 1 indexed citations
11.
Rizk, Mostafa, et al.. (2019). MRL Crossbar-Based Full Adder Design. HAL (Le Centre pour la Communication Scientifique Directe). 674–677. 10 indexed citations
12.
Onizawa, Naoya, et al.. (2019). Multi-Context TCAM Based Selective Computing Architecture for a Low-Power NN. HAL (Le Centre pour la Communication Scientifique Directe). 117–118. 3 indexed citations
13.
Ochoa‐Ruiz, Gilberto, et al.. (2018). Towards Dynamically Reconfigurable SoCs (DRSoCs) in industrial automation: State of the art, challenges and opportunities. Microprocessors and Microsystems. 62. 20–40. 2 indexed citations
14.
Cataldo, Luis Rodrigo, Kévin Martin, Johanna Sepúlveda, et al.. (2018). Subutai: Distributed Synchronization Primitives in NoC Interfaces for Legacy Parallel-Applications. 1–6. 1 indexed citations
15.
Martin, Kévin, et al.. (2015). Move Based Algorithm for Runtime Mapping of Dataflow Actors on Heterogeneous MPSoCs. Journal of Signal Processing Systems. 87(1). 63–80. 9 indexed citations
16.
Sepúlveda, Johanna, et al.. (2014). 3D-LeukoNoC: A dynamic NoC protection. 1–6. 8 indexed citations
17.
Rutten, Éric, et al.. (2014). Extending UML/MARTE to Support Discrete Controller Synthesis, Application to Reconfigurable Systems-on-Chip Modeling. ACM Transactions on Reconfigurable Technology and Systems. 7(3). 1–17. 9 indexed citations
18.
Diguet, Jean-Philippe, et al.. (2012). Asymmetric Cache Coherency. ACM Transactions on Reconfigurable Technology and Systems. 5(3). 1–12. 1 indexed citations
19.
Diguet, Jean-Philippe, et al.. (2011). Closed-loop--based self-adaptive Hardware/Software-Embedded systems. ACM Transactions on Embedded Computing Systems. 10(3). 1–28. 14 indexed citations
20.
Diguet, Jean-Philippe, et al.. (2006). Automated derivation of NoC Communication Specifications from Application Constraints. 238–243. 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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