Giovanni Ansaloni

994 total citations
74 papers, 689 citations indexed

About

Giovanni Ansaloni is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Giovanni Ansaloni has authored 74 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Electrical and Electronic Engineering, 35 papers in Hardware and Architecture and 19 papers in Computer Networks and Communications. Recurrent topics in Giovanni Ansaloni's work include Embedded Systems Design Techniques (23 papers), Parallel Computing and Optimization Techniques (23 papers) and Advanced Memory and Neural Computing (22 papers). Giovanni Ansaloni is often cited by papers focused on Embedded Systems Design Techniques (23 papers), Parallel Computing and Optimization Techniques (23 papers) and Advanced Memory and Neural Computing (22 papers). Giovanni Ansaloni collaborates with scholars based in Switzerland, United States and United Kingdom. Giovanni Ansaloni's co-authors include Laura Pozzi, David Atienza, George A. Constantinides, Sherief Reda, Hossein Mamaghanian, Alexandre Levisse, Francisco Rincon, Luca P. Carloni, Giuseppe Di Guglielmo and Nikil Dutt and has published in prestigious journals such as Proceedings of the IEEE, Sensors and IEEE Transactions on Computers.

In The Last Decade

Giovanni Ansaloni

69 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giovanni Ansaloni Switzerland 15 365 359 197 128 62 74 689
Marc Renaudin France 14 306 0.8× 176 0.5× 81 0.4× 123 1.0× 23 0.4× 40 524
Maryam Ashouei Netherlands 14 366 1.0× 145 0.4× 122 0.6× 259 2.0× 53 0.9× 42 567
Magdy A. El-Moursy Egypt 12 320 0.9× 127 0.4× 170 0.9× 48 0.4× 26 0.4× 70 499
Christian Bachmann Netherlands 18 692 1.9× 137 0.4× 153 0.8× 318 2.5× 19 0.3× 57 877
Luis Parrilla Spain 15 202 0.6× 207 0.6× 60 0.3× 110 0.9× 125 2.0× 75 680
Laurent Fesquet France 10 216 0.6× 94 0.3× 54 0.3× 103 0.8× 19 0.3× 60 365
Michael Gautschi Switzerland 13 441 1.2× 262 0.7× 175 0.9× 75 0.6× 7 0.1× 24 630
Rami A. Abdallah United States 10 350 1.0× 101 0.3× 74 0.4× 159 1.2× 25 0.4× 22 439
Eugene John United States 10 322 0.9× 108 0.3× 124 0.6× 150 1.2× 33 0.5× 82 510
Aruru Sai Kumar India 18 497 1.4× 66 0.2× 172 0.9× 177 1.4× 56 0.9× 62 684

Countries citing papers authored by Giovanni Ansaloni

Since Specialization
Citations

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

Fields of papers citing papers by Giovanni Ansaloni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giovanni Ansaloni

This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Ansaloni. A scholar is included among the top collaborators of Giovanni Ansaloni 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 Giovanni Ansaloni. Giovanni Ansaloni 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.
Lammie, Corey, Marina Zapater, Irem Boybat, et al.. (2025). LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles. IEEE Transactions on Emerging Topics in Computing. 13(4). 1383–1395. 1 indexed citations
2.
Levisse, Alexandre, Mohit Gupta, Dwaipayan Biswas, et al.. (2024). An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(6). 1018–1031. 1 indexed citations
3.
Dan, Jonathan, et al.. (2024). Resource-Efficient Continual Learning for Personalized Online Seizure Detection. PubMed. 2024. 1–7. 3 indexed citations
4.
Schiavone, Pasquale Davide, et al.. (2024). Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. ArODES (HES-SO (https://www.hes-so.ch/)). 1–6. 1 indexed citations
5.
Levisse, Alexandre, et al.. (2023). Overflow-free Compute Memories for Edge AI Acceleration. ACM Transactions on Embedded Computing Systems. 22(5s). 1–23. 4 indexed citations
6.
Levisse, Alexandre, et al.. (2023). Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. IEEE Transactions on Emerging Topics in Computing. 11(2). 358–372. 9 indexed citations
7.
Ansaloni, Giovanni, et al.. (2023). A 16-bit Floating-Point Near-SRAM Architecture for Low-power Sparse Matrix-Vector Multiplication. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6.
8.
Levisse, Alexandre, et al.. (2022). A Hardware/Software Co-Design Vision for Deep Learning at the Edge. IEEE Micro. 42(6). 48–54. 5 indexed citations
9.
Ansaloni, Giovanni, et al.. (2022). Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge. Micromachines. 13(7). 1143–1143. 1 indexed citations
10.
Ansaloni, Giovanni, et al.. (2021). A Formal Framework for Maximum Error Estimation in Approximate Logic Synthesis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(4). 840–853. 5 indexed citations
11.
Ansaloni, Giovanni, et al.. (2020). Approximate Logic Synthesis: A Survey. Proceedings of the IEEE. 108(12). 2195–2213. 63 indexed citations
12.
Ansaloni, Giovanni, et al.. (2020). Leveraging Prior Knowledge for Effective Design-Space Exploration in High-Level Synthesis. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(11). 3736–3747. 30 indexed citations
13.
Ansaloni, Giovanni, et al.. (2019). Partition and Propagate an Error Derivation Algorithm for the Design of Approximate Circuits. 1–6. 1 indexed citations
14.
Ansaloni, Giovanni, et al.. (2018). Circuit carving: A methodology for the design of approximate hardware. 545–550. 36 indexed citations
15.
Ansaloni, Giovanni, et al.. (2018). i-DPs CGRA: An Interleaved-Datapaths Reconfigurable Accelerator for Embedded Bio-Signal Processing. IEEE Embedded Systems Letters. 11(2). 50–53. 13 indexed citations
16.
Ferrante, Alberto, et al.. (2014). Risk Assessment of Atrial Fibrillation: a Failure Prediction Approach. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 41(1). 170–173. 3 indexed citations
17.
Ansaloni, Giovanni, et al.. (2013). A methodology for embedded classification of heartbeats using random projections. Design, Automation, and Test in Europe. 899–904. 11 indexed citations
18.
Ansaloni, Giovanni, et al.. (2013). Synchronizing code execution on ultra-low-power embedded multi-channel signal analysis platforms. Design, Automation, and Test in Europe. 396–399. 3 indexed citations
19.
Kounoudes, Anastasis, et al.. (2012). IcyHeart: Highly integrated ultra-low-power SoC solution for unobtrusive and energy efficient wireless cardiac monitoring. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
20.
Ansaloni, Giovanni, et al.. (2009). Heterogeneous coarse-grained processing elements: a template architecture for embedded processing acceleration. Design, Automation, and Test in Europe. 542–547. 5 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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