Alessandro Capotondi

854 total citations
32 papers, 460 citations indexed

About

Alessandro Capotondi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alessandro Capotondi has authored 32 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hardware and Architecture, 13 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alessandro Capotondi's work include Parallel Computing and Optimization Techniques (19 papers), Embedded Systems Design Techniques (12 papers) and Interconnection Networks and Systems (9 papers). Alessandro Capotondi is often cited by papers focused on Parallel Computing and Optimization Techniques (19 papers), Embedded Systems Design Techniques (12 papers) and Interconnection Networks and Systems (9 papers). Alessandro Capotondi collaborates with scholars based in Italy, Switzerland and Spain. Alessandro Capotondi's co-authors include Luca Benini, Manuele Rusci, Andrea Marongiu, Francesco Conti, Giuseppe Tagliavini, Davide Rossi, Igor Loi, Antonio Pullini, Michael Gautschi and Philippe Flatresse and has published in prestigious journals such as Sensors, IEEE Transactions on Industrial Informatics and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Alessandro Capotondi

29 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Capotondi Italy 12 174 162 149 141 119 32 460
Duncan J. M. Moss Australia 8 270 1.6× 138 0.9× 100 0.7× 213 1.5× 161 1.4× 13 516
A. Otero Spain 12 151 0.9× 169 1.0× 148 1.0× 69 0.5× 177 1.5× 53 467
Carlos Valderrama Belgium 12 163 0.9× 152 0.9× 108 0.7× 123 0.9× 61 0.5× 55 508
Ting Cao China 12 116 0.7× 166 1.0× 213 1.4× 154 1.1× 138 1.2× 53 559
Suchit Subhaschandra United Kingdom 7 239 1.4× 213 1.3× 171 1.1× 221 1.6× 143 1.2× 8 518
Radu Mureşan Canada 12 94 0.5× 136 0.8× 56 0.4× 119 0.8× 169 1.4× 42 414
Mimi Xie United States 15 438 2.5× 228 1.4× 216 1.4× 92 0.7× 103 0.9× 51 650
Ahmad Shawahna Saudi Arabia 4 166 1.0× 60 0.4× 56 0.4× 155 1.1× 127 1.1× 5 354
Shulin Zeng China 10 189 1.1× 77 0.5× 52 0.3× 165 1.2× 134 1.1× 37 406
Maurizio Capra Italy 5 172 1.0× 45 0.3× 87 0.6× 116 0.8× 108 0.9× 7 365

Countries citing papers authored by Alessandro Capotondi

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Capotondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Capotondi

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Capotondi. A scholar is included among the top collaborators of Alessandro Capotondi 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 Alessandro Capotondi. Alessandro Capotondi 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.
Capotondi, Alessandro, et al.. (2025). Enabling Fast System-Level Integration and Prototyping of Accelerator-Rich Platforms. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 54–57.
2.
Valente, Giacomo, Tania Di Mascio, Alessandro Capotondi, et al.. (2024). Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-Based Heterogeneous SoCs. IEEE Transactions on Parallel and Distributed Systems. 36(2). 326–340. 1 indexed citations
3.
Cavicchioli, Roberto, et al.. (2024). ShareBERT: Embeddings Are Capable of Learning Hidden Layers. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 18225–18233.
4.
Valente, Giacomo, et al.. (2023). Fine-Grained QoS Control via Tightly-Coupled Bandwidth Monitoring and Regulation for FPGA-based Heterogeneous SoCs. IRIS UNIMORE (University of Modena and Reggio Emilia). 1–6. 2 indexed citations
5.
Sinigaglia, M., et al.. (2023). HULK-V: a Heterogeneous Ultra-low-power Linux capable RISC-V SoC. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–6. 9 indexed citations
6.
Capotondi, Alessandro, et al.. (2022). Understanding and Mitigating Memory Interference in FPGA-based HeSoCs. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 1335–1340. 7 indexed citations
7.
Capotondi, Alessandro, et al.. (2022). An FPGA Overlay for Efficient Real-Time Localization in 1/10th Scale Autonomous Vehicles. 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE). 915–920. 5 indexed citations
8.
Rusci, Manuele, et al.. (2021). A TinyML Platform for On-Device Continual Learning With Quantized Latent Replays. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 789–802. 53 indexed citations
9.
Madroñal, Daniel, Francesca Palumbo, Alessandro Capotondi, & Andrea Marongiu. (2021). Unmanned Vehicles in Smart Farming: a Survey and a Glance at Future Horizons. UNICA IRIS Institutional Research Information System (University of Cagliari). 1–8. 11 indexed citations
10.
Rusci, Manuele, Alessandro Capotondi, Francesco Conti, et al.. (2020). Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node. CINECA IRIS Institutial research information system (University of Pisa). 11 indexed citations
11.
Capotondi, Alessandro, et al.. (2020). A Systematic Assessment of Embedded Neural Networks for Object Detection. IRIS UNIMORE (University of Modena and Reggio Emilia). 937–944. 32 indexed citations
12.
Capotondi, Alessandro, et al.. (2020). CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices. IEEE Transactions on Circuits & Systems II Express Briefs. 67(5). 871–875. 79 indexed citations
13.
Meloni, Paolo, et al.. (2019). Exploring NEURAghe: A Customizable Template for APSoC-Based CNN Inference at the Edge. IEEE Embedded Systems Letters. 12(2). 62–65. 7 indexed citations
14.
Rusci, Manuele, Alessandro Capotondi, Francesco Conti, & Luca Benini. (2018). Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress. 12.
15.
Rusci, Manuele, Alessandro Capotondi, Francesco Conti, & Luca Benini. (2018). Work-in-Progress: Quantized NNs as the Definitive Solution for Inference on Low-Power ARM MCUs?. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–2. 12 indexed citations
16.
Capotondi, Alessandro & Andrea Marongiu. (2016). On the effectiveness of OpenMP teams for cluster-based many-core accelerators. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 32. 667–674. 1 indexed citations
17.
Capotondi, Alessandro, Andrea Marongiu, & Luca Benini. (2016). Runtime Support for Multiple Offload-Based Programming Models on Clustered Manycore Accelerators. IEEE Transactions on Emerging Topics in Computing. 6(3). 330–342. 6 indexed citations
18.
Marongiu, Andrea, Alessandro Capotondi, & Luca Benini. (2016). Controlling NUMA effects in embedded manycore applications with lightweight nested parallelism support. Parallel Computing. 59. 24–42. 3 indexed citations
19.
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
20.
Capotondi, Alessandro, et al.. (2014). Augmenting manycore programmable accelerators with photonic interconnect technology for the high-end embedded computing domain. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 37. 72–79. 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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