Marco Ciccone

472 total citations
17 papers, 205 citations indexed

About

Marco Ciccone is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Marco Ciccone has authored 17 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Marco Ciccone's work include Advanced Neural Network Applications (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Advanced Memory and Neural Computing (5 papers). Marco Ciccone is often cited by papers focused on Advanced Neural Network Applications (9 papers), Privacy-Preserving Technologies in Data (7 papers) and Advanced Memory and Neural Computing (5 papers). Marco Ciccone collaborates with scholars based in Italy, Canada and France. Marco Ciccone's co-authors include Barbara Caputo, Fabio Cermelli, Marco Cannici, Matteo Matteucci, Giuseppe Averta, Tatiana Tommasi, Marco Toldo, Paolo Rech, Pietro Zanuttigh and Fernando dos Santos and has published in prestigious journals such as IEEE Access, IEEE Transactions on Emerging Topics in Computing and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Marco Ciccone

17 papers receiving 201 citations

Peers

Marco Ciccone

CVPR

EEE

RNMI

Ruizhou Ding United States

Yuhang Li China

Aaron Chadha United Kingdom

Zhihang Yuan China

Peipei Yang China

Zhenglun Kong United States

Ziran Wei China

Zeyu Wang China

Haoyu Ma United States

Jingcai Guo Hong Kong

Ruizhou Ding United States

Marco Ciccone

142 ×1.2

159 ×1.8

CVPR

49 ×0.7

EEE

10 ×0.6

11 ×0.6

RNMI

Citations per year, relative to Marco Ciccone Marco Ciccone (= 1×) peers Ruizhou Ding

Countries citing papers authored by Marco Ciccone

Since Specialization

Citations

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

Fields of papers citing papers by Marco Ciccone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Ciccone

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

All Works

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17 of 17 papers shown

Santos, Fernando Fernandes dos, Marco Ciccone, Giuseppe Averta, et al.. (2025). Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training. IEEE Transactions on Emerging Topics in Computing. 13(3). 829–840. 1 indexed citations

Caputo, Barbara, et al.. (2025). Resource-Efficient Personalization in Federated Learning With Closed-Form Classifiers. IEEE Access. 13. 61928–61957. 1 indexed citations

Caputo, Barbara, et al.. (2025). Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning. 25187–25197. 1 indexed citations

Ciccone, Marco, et al.. (2024). PEM: Prototype-Based Efficient MaskFormer for Image Segmentation. 15804–15813. 13 indexed citations

Ciccone, Marco, et al.. (2024). Finding Lottery Tickets in Vision Models via Data-Driven Spectral Foresight Pruning. 16142–16151. 2 indexed citations

Caputo, Barbara, et al.. (2024). Accelerating Federated Learning via Sequential Training of Grouped Heterogeneous Clients. IEEE Access. 12. 57043–57058. 2 indexed citations

Caputo, Barbara, et al.. (2023). Window-based Model Averaging Improves Generalization in Heterogeneous Federated Learning. 2255–2263. 2 indexed citations

Toldo, Marco, et al.. (2023). Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 444–454. 23 indexed citations

Cermelli, Fabio, et al.. (2022). Incremental Learning in Semantic Segmentation from Image Labels. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 4361–4371. 37 indexed citations

10.

Santos, Fernando dos, et al.. (2022). Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. 1–7. 18 indexed citations

11.

Cermelli, Fabio, et al.. (2022). FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 11504–11511. 38 indexed citations

12.

Ciccone, Marco, et al.. (2022). Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients. 2022 26th International Conference on Pattern Recognition (ICPR). 3376–3382. 8 indexed citations

13.

Cannici, Marco, Chiara Plizzari, Marco Ciccone, et al.. (2021). N-ROD: a Neuromorphic Dataset for Synthetic-to-Real Domain Adaptation. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1342–1347. 7 indexed citations

14.

Cannici, Marco, et al.. (2020). Matrix-LSTM: a Differentiable Recurrent Surface for Asynchronous Event-Based Data.. arXiv (Cornell University). 4 indexed citations

15.

Cannici, Marco, et al.. (2019). Attention Mechanisms for Object Recognition With Event-Based Cameras. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1127–1136. 29 indexed citations

16.

Ciccone, Marco, et al.. (2018). NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 31. 3025–3035. 4 indexed citations

17.

Cannici, Marco, et al.. (2018). Event-based Convolutional Networks for Object Detection in Neuromorphic Cameras.. 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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