Davide Rossi

4.8k total citations
204 papers, 2.9k citations indexed

About

Davide Rossi is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Davide Rossi has authored 204 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Electrical and Electronic Engineering, 86 papers in Hardware and Architecture and 75 papers in Computer Networks and Communications. Recurrent topics in Davide Rossi's work include Parallel Computing and Optimization Techniques (64 papers), Advanced Memory and Neural Computing (48 papers) and Interconnection Networks and Systems (41 papers). Davide Rossi is often cited by papers focused on Parallel Computing and Optimization Techniques (64 papers), Advanced Memory and Neural Computing (48 papers) and Interconnection Networks and Systems (41 papers). Davide Rossi collaborates with scholars based in Italy, Switzerland and France. Davide Rossi's co-authors include Luca Benini, Francesco Conti, Antonio Pullini, Igor Loi, Giuseppe Tagliavini, Simone Benatti, Michael Gautschi, Pasquale Davide Schiavone, Éric Flamand and Paolo Ciancarini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal of Solid-State Circuits.

In The Last Decade

Davide Rossi

192 papers receiving 2.8k citations

Author Peers

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

Author Last Decade Papers Cites
Davide Rossi 1.6k 1.0k 875 559 547 204 2.9k
Hun-Seok Kim 1.5k 0.9× 433 0.4× 1.3k 1.5× 471 0.8× 513 0.9× 142 3.0k
Chaitali Chakrabarti 2.4k 1.5× 1.7k 1.6× 1.6k 1.8× 1.3k 2.4× 737 1.3× 287 5.1k
Qinru Qiu 2.6k 1.6× 1.0k 1.0× 1.2k 1.4× 479 0.9× 959 1.8× 178 3.9k
Tinoosh Mohsenin 1.5k 0.9× 592 0.6× 730 0.8× 495 0.9× 652 1.2× 146 2.9k
Ulrich Rückert 1.0k 0.6× 524 0.5× 610 0.7× 213 0.4× 638 1.2× 255 2.2k
Saibal Mukhopadhyay 4.4k 2.8× 1.6k 1.5× 628 0.7× 730 1.3× 912 1.7× 352 5.7k
Shaojun Wei 2.2k 1.4× 1.3k 1.3× 1.1k 1.3× 1.4k 2.4× 1.2k 2.1× 381 4.4k
Shouyi Yin 2.3k 1.5× 1.4k 1.3× 1.2k 1.4× 1.4k 2.5× 1.2k 2.1× 351 4.6k
Mohsen Imani 3.4k 2.1× 951 0.9× 791 0.9× 421 0.8× 1.7k 3.1× 243 4.5k
Vijaykrishnan Narayanan 5.3k 3.3× 2.0k 1.9× 2.0k 2.3× 434 0.8× 508 0.9× 357 6.6k

Countries citing papers authored by Davide Rossi

Since Specialization
Citations

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

Fields of papers citing papers by Davide Rossi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Rossi

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Rossi. A scholar is included among the top collaborators of Davide Rossi 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 Davide Rossi. Davide Rossi 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.
Conti, Francesco, Angelo Garofalo, Davide Rossi, Giuseppe Tagliavini, & Luca Benini. (2025). Open Source Heterogeneous SoCs for Artificial Intelligence: The PULP Platform experience. IEEE Solid-State Circuits Magazine. 17(2). 49–60. 1 indexed citations
2.
Sinigaglia, M., Simone Benatti, Giuseppe Tagliavini, et al.. (2025). Maestro: A 302 GFLOPS/W and 19.8GFLOPS RISC-V Vector-Tensor Architecture for Wearable Ultrasound Edge Computing. IEEE Transactions on Circuits and Systems I Regular Papers. 72(11). 6665–6678. 1 indexed citations
3.
Zhang, Yichao, Manuel Eggimann, Matheus Cavalcante, et al.. (2025). Occamy: A 432-Core Dual-Chiplet Dual-HBM2E 768-DP-GFLOP/s RISC-V System for 8-to-64-bit Dense and Sparse Computing in 12-nm FinFET. IEEE Journal of Solid-State Circuits. 60(4). 1324–1338. 3 indexed citations
4.
Rossi, Davide, et al.. (2024). TitanCFI: Toward Enforcing Control-Flow Integrity in the Root -of- Trust. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 3 indexed citations
5.
Rossi, Davide, et al.. (2024). Assessing the Performance of OpenTitan as Cryptographic Accelerator in Secure Open-Hardware System-on-Chips. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 172–179. 1 indexed citations
6.
Sinigaglia, M., Simone Benatti, Baker Mohammad, et al.. (2024). A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation. IEEE Transactions on Circuits and Systems I Regular Papers. 71(5). 2266–2279. 4 indexed citations
7.
Garofalo, Angelo, et al.. (2023). Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–5. 6 indexed citations
8.
Rossi, Davide, et al.. (2023). Hybrid Modular Redundancy: Exploring Modular Redundancy Approaches in RISC-V Multi-core Computing Clusters for Reliable Processing in Space. ACM Transactions on Cyber-Physical Systems. 9(1). 1–29. 3 indexed citations
9.
Conti, Francesco, et al.. (2023). Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2–8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing. IEEE Journal of Solid-State Circuits. 59(1). 128–142. 16 indexed citations
10.
Garofalo, Angelo, Giuseppe Tagliavini, Francesco Conti, et al.. (2023). Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. IEEE Transactions on Circuits and Systems I Regular Papers. 70(6). 2450–2463. 10 indexed citations
11.
Rossi, Davide, et al.. (2023). CVA6 RISC-V Virtualization: Architecture, Microarchitecture, and Design Space Exploration. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 31(11). 1713–1726. 4 indexed citations
12.
Garofalo, Angelo, et al.. (2022). DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. SHILAP Revista de lepidopterología. 2. 231–243. 14 indexed citations
13.
Schiavone, Pasquale Davide, Davide Rossi, Alfio Di Mauro, et al.. (2021). Arnold: An eFPGA-Augmented RISC-V SoC for Flexible and Low-Power IoT End Nodes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 36 indexed citations
14.
Garofalo, Angelo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, & Davide Rossi. (2021). XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes. IEEE Transactions on Emerging Topics in Computing. 9(3). 1489–1505. 33 indexed citations
15.
Andri, Renzo, Lukas Cavigelli, Davide Rossi, & Luca Benini. (2019). Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 15 indexed citations
16.
Ruggiero, Martino, et al.. (2019). Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices. IEEE Design and Test. 37(2). 84–92. 8 indexed citations
17.
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
18.
Schiavone, Pasquale Davide, Davide Rossi, Antonio Pullini, et al.. (2018). Quentin: an Ultra-Low-Power PULPissimo SoC in 22nm FDX. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–3. 56 indexed citations
19.
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
20.
Rossi, Davide, Francesco Conti, Andrea Marongiu, et al.. (2015). PULP: A parallel ultra low power platform for next generation IoT applications. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–39. 86 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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