Stefano Melacci

1.1k total citations
38 papers, 232 citations indexed

About

Stefano Melacci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Stefano Melacci has authored 38 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Stefano Melacci's work include Neural Networks and Applications (11 papers), Face and Expression Recognition (6 papers) and Advanced Vision and Imaging (5 papers). Stefano Melacci is often cited by papers focused on Neural Networks and Applications (11 papers), Face and Expression Recognition (6 papers) and Advanced Vision and Imaging (5 papers). Stefano Melacci collaborates with scholars based in Italy, France and United Kingdom. Stefano Melacci's co-authors include Marco Gori, Marco Maggini, Lorenzo Sarti, Francesco Giannini, Gabriele Ciravegna, Píetro Lió, Marcello Sanguineti, Pietro Barbiero, Giorgio Gnecco and Dario Zanca and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and Neural Computation.

In The Last Decade

Stefano Melacci

28 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefano Melacci Italy	9	133	93	22	19	15	38	232
Jiaji Huang United States	9	191 1.4×	78 0.8×	15 0.7×	18 0.9×	6 0.4×	24	320
Nishant A. Mehta United States	6	84 0.6×	32 0.3×	24 1.1×	29 1.5×	12 0.8×	16	181
Boyán Bonev Spain	9	111 0.8×	143 1.5×	8 0.4×	12 0.6×	10 0.7×	19	253
Oh-Hyun Kwon United States	6	66 0.5×	219 2.4×	16 0.7×	6 0.3×	21 1.4×	9	291
Guan Luo China	10	119 0.9×	220 2.4×	11 0.5×	12 0.6×	3 0.2×	24	316
Mátyás Brendel Hungary	7	140 1.1×	37 0.4×	16 0.7×	39 2.1×	57 3.8×	15	231
Vinay Uday Prabhu Portugal	7	105 0.8×	77 0.8×	13 0.6×	74 3.9×	4 0.3×	12	292
Benigno Uría United Kingdom	7	196 1.5×	75 0.8×	13 0.6×	11 0.6×	5 0.3×	9	277
Ajinkya Kale United States	7	140 1.1×	165 1.8×	10 0.5×	8 0.4×	4 0.3×	15	274

Countries citing papers authored by Stefano Melacci

Since Specialization

Citations

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

Fields of papers citing papers by Stefano Melacci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Melacci

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

All Works

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20 of 20 papers shown

Gori, Marco, et al.. (2025). Continual learning of conjugated visual representations through higher-order motion flows. Neural Networks. 187. 107296–107296.

Gori, Marco, et al.. (2025). State-space modeling in long sequence processing: a survey on recurrence in the transformer era. Neural Networks. 193. 108039–108039.

Gori, Marco, et al.. (2025). Back to recurrent processing at the crossroad of transformers and state-space models. Nature Machine Intelligence. 7(5). 678–688. 1 indexed citations

Gori, Marco, et al.. (2024). Neural Time-Reversed Generalized Riccati Equation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 7935–7942.

Gori, Marco, et al.. (2022). Deep Learning to See. SpringerBriefs in computer science.

Gori, Marco, et al.. (2021). Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier. Use Siena air (University of Siena).

Gori, Marco, et al.. (2021). Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects. Use Siena air (University of Siena). 2 indexed citations

Boccignone, Giuseppe, et al.. (2021). Visual Features and Their Own Optical Flow. Frontiers in Artificial Intelligence. 4. 768516–768516. 1 indexed citations

Gori, Marco, et al.. (2021). A language modeling-like approach to sketching. Neural Networks. 144. 627–638.

10.

Marra, Giuseppe, et al.. (2021). Deep Constraint-Based Propagation in Graph Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(2). 727–739. 8 indexed citations

11.

Gori, Marco, et al.. (2020). Learning visual features under motion invariance. Use Siena air (University of Siena). 5 indexed citations

12.

Marra, Giuseppe, et al.. (2020). Deep Lagrangian Constraint-based Propagation in Graph Neural Networks.. Lirias (KU Leuven). 1 indexed citations

13.

Melacci, Stefano, et al.. (2019). Coherence constraints in facial expression recognition. Florence Research (University of Florence).

14.

Farina, Francesco, Stefano Melacci, Andrea Garulli, & Antonio Giannitrapani. (2019). Asynchronous Distributed Learning From Constraints. IEEE Transactions on Neural Networks and Learning Systems. 31(10). 4367–4373. 4 indexed citations

15.

Zanca, Dario, Stefano Melacci, & Marco Gori. (2019). Gravitational Laws of Focus of Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(12). 2983–2995. 21 indexed citations

16.

Gnecco, Giorgio, Marco Gori, Stefano Melacci, & Marcello Sanguineti. (2016). Learning with hard constraints as a limit case of learning with soft constraints. CINECA IRIS Institutial Research Information System (University of Genoa). 35–40.

17.

Melacci, Stefano & Marco Gori. (2013). Learning with Box Kernels. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(11). 2680–2692. 8 indexed citations

18.

Gnecco, Giorgio, Marco Gori, Stefano Melacci, & Marcello Sanguineti. (2013). A theoretical framework for supervised learning from regions. Neurocomputing. 129. 25–32. 7 indexed citations

19.

Gori, Marco & Stefano Melacci. (2013). Constraint Verification With Kernel Machines. IEEE Transactions on Neural Networks and Learning Systems. 24(5). 825–831. 9 indexed citations

20.

Maggini, Marco, Stefano Melacci, & Lorenzo Sarti. (2011). Learning from pairwise constraints by Similarity Neural Networks. Neural Networks. 26. 141–158. 14 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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