Éric Flamand

1.3k total citations
18 papers, 872 citations indexed

About

Éric Flamand is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Éric Flamand has authored 18 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 9 papers in Hardware and Architecture and 7 papers in Computer Networks and Communications. Recurrent topics in Éric Flamand's work include Parallel Computing and Optimization Techniques (8 papers), Advanced Memory and Neural Computing (7 papers) and Advanced Neural Network Applications (5 papers). Éric Flamand is often cited by papers focused on Parallel Computing and Optimization Techniques (8 papers), Advanced Memory and Neural Computing (7 papers) and Advanced Neural Network Applications (5 papers). Éric Flamand collaborates with scholars based in Italy, Switzerland and France. Éric Flamand's co-authors include Luca Benini, Francesco Conti, Davide Rossi, Antonio Pullini, Igor Loi, Pasquale Davide Schiavone, Michael Gautschi, Davide Scaramuzza, Daniele Palossi and Antonio Loquercio and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, IEEE Internet of Things Journal and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Éric Flamand

17 papers receiving 835 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Éric Flamand 435 417 330 202 98 18 872
Giuseppe Tagliavini 503 1.2× 386 0.9× 217 0.7× 205 1.0× 121 1.2× 53 884
Joo-Young Kim 620 1.4× 146 0.4× 192 0.6× 300 1.5× 176 1.8× 80 940
Anshul Kumar 303 0.7× 428 1.0× 280 0.8× 99 0.5× 78 0.8× 89 714
Ben Keller 660 1.5× 385 0.9× 163 0.5× 232 1.1× 154 1.6× 28 941
Diana Göhringer 307 0.7× 513 1.2× 419 1.3× 130 0.6× 60 0.6× 139 900
Brian Zimmer 845 1.9× 416 1.0× 195 0.6× 262 1.3× 188 1.9× 49 1.2k
Huazhong Yang 485 1.1× 384 0.9× 209 0.6× 288 1.4× 194 2.0× 90 941
Nathaniel Pinckney 1.0k 2.3× 484 1.2× 236 0.7× 253 1.3× 196 2.0× 44 1.4k
Yuan Cao 708 1.6× 607 1.5× 223 0.7× 225 1.1× 164 1.7× 100 1.2k
Jose Nunez‐Yanez 408 0.9× 438 1.1× 310 0.9× 219 1.1× 118 1.2× 123 979

Countries citing papers authored by Éric Flamand

Since Specialization
Citations

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

Fields of papers citing papers by Éric Flamand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Flamand

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Flamand. A scholar is included among the top collaborators of Éric Flamand 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 Éric Flamand. Éric Flamand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rusci, Manuele, et al.. (2024). Self-Learning for Personalized Keyword Spotting on Ultralow-Power Audio Sensors. IEEE Internet of Things Journal. 12(8). 10210–10221.
2.
Loi, Igor, et al.. (2023). Scalable Hierarchical Instruction Cache for Ultralow-Power Processors Clusters. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(4). 456–469. 2 indexed citations
3.
Rossi, Davide, Francesco Conti, Manuel Eggimann, et al.. (2021). Vega: A Ten-Core SoC for IoT Endnodes With DNN Acceleration and Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. IEEE Journal of Solid-State Circuits. 57(1). 127–139. 65 indexed citations
4.
Rusci, Manuele, et al.. (2021). Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs. 1–4. 8 indexed citations
5.
Rossi, Davide, Francesco Conti, Stefan Mach, et al.. (2021). 4.4 A 1.3TOPS/W @ 32GOPS Fully Integrated 10-Core SoC for IoT End-Nodes with 1.7μW Cognitive Wake-Up From MRAM-Based State-Retentive Sleep Mode. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 60–62. 37 indexed citations
6.
Palossi, Daniele, Antonio Loquercio, Francesco Conti, et al.. (2019). A 64-mW DNN-Based Visual Navigation Engine for Autonomous Nano-Drones. IEEE Internet of Things Journal. 6(5). 8357–8371. 120 indexed citations
7.
Flamand, Éric, Davide Rossi, Francesco Conti, et al.. (2018). GAP-8: A RISC-V SoC for AI at the Edge of the IoT. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–4. 143 indexed citations
8.
Malossi, A. Cristiano I., Michael Schaffner, Anca Molnos, et al.. (2018). The transprecision computing paradigm: Concept, design, and applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1105–1110. 45 indexed citations
9.
Rusci, Manuele, Davide Rossi, Éric Flamand, et al.. (2018). Always-ON visual node with a hardware-software event-based binarized neural network inference engine. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 314–319. 8 indexed citations
10.
Schiavone, Pasquale Davide, Francesco Conti, Davide Rossi, et al.. (2017). Slow and steady wins the race? A comparison of ultra-low-power RISC-V cores for Internet-of-Things applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–8. 144 indexed citations
11.
Vivet, Pascal, Yvain Thonnart, R. Lemaire, et al.. (2016). A $4 \times 4 \times 2$ Homogeneous Scalable 3D Network-on-Chip Circuit With 326 MFlit/s 0.66 pJ/b Robust and Fault Tolerant Asynchronous 3D Links. IEEE Journal of Solid-State Circuits. 52(1). 33–49. 25 indexed citations
12.
Vivet, Pascal, Yvain Thonnart, R. Lemaire, et al.. (2016). 8.1 a 4x4x2 homogeneous scalable 3d network-on-chip circuit with 326mflit/s 0.66pj/b robust and fault-tolerant asynchronous 3d links. 146–147. 19 indexed citations
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15.
Benini, Luca, et al.. (2012). Platform 2012, a many-core computing accelerator for embedded SoCs. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1137–1142. 124 indexed citations
16.
Benini, Luca, et al.. (2012). P2012: Building an ecosystem for a scalable, modular and high-efficiency embedded computing accelerator. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 983–987. 86 indexed citations
17.
Flamand, Éric. (2009). Strategic directions towards multicore application specific computing. Design, Automation, and Test in Europe. 1266–1266. 14 indexed citations
18.
Flamand, Éric. (2009). Strategic directions towards multicore application specific computing. 1266–1266. 15 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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