Stefano Melacci

1.1k citations
68 papers · 400 · h-index 12

Impact in

    • Face and Expression Recognition
    • Visual Attention and Saliency Detection
    • Neural Networks and Applications
    • Explainable Artificial Intelligence (XAI)
    • Topic Modeling
    • AI-based Problem Solving and Planning
    • Machine Learning and Algorithms

Papers in

    • Neural Networks and Applications 21
    • Domain Adaptation and Few-Shot Learning 7
    • Topic Modeling 5
    • Face and Expression Recognition 13
    • Advanced Vision and Imaging 9
    • Multimodal Machine Learning Applications 8
    • Advanced Image and Video Retrieval Techniques 7

Stefano Melacci

59 papers receiving 391 citations

Peers

Stefano Melacci
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 155
  • Artificial Intelligence 230
  • Health Informatics 5
  • Computer Networks and Communications 47
  • Experimental and Cognitive Psychology 25
Replace Junbo Zhao with:
Junbo Zhao China
Chaoqun Hong China
Boyán Bonev Spain
Alexander Bernstein Russia
K.M. Curtis United Kingdom
Mohamed Morchid France
S. Prasanna India
Sainbayar Sukhbaatar United States
Junyu Luo China
Tuomo Sipola Finland
Stefano Melacci relative to Junbo Zhao China Junbo Zhao's profile →
Citations per field
00.5×2×4×6×8×9.7×
Junbo Zhao · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Stefano Melacci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stefano Melacci Line = papers co-authored together Stefano Melacci links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202240
2 201433
3 202232
4 201926
5 200918
6 201117
7 201216
8 201315
9 200913
10 201913
11 201311
12 202111
13 20089
14 20149
15 20139
16 20227
17 20137
18 20167
19 20206
20 20195

About Stefano Melacci

Stefano Melacci is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Cognitive Neuroscience, having authored 68 papers that have together received 400 indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Face and Expression Recognition (13 papers), Advanced Vision and Imaging (9 papers), Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Constraint Satisfaction and Optimization (7 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Topic Modeling (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Artificial Intelligence (230 citations), Health Informatics (5 citations), Computer Networks and Communications (47 citations) and Experimental and Cognitive Psychology (25 citations). Stefano Melacci has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Marco Gori, Marco Maggini, Lorenzo Sarti, Marcello Sanguineti, Giorgio Gnecco, Francesco Giannini, Gabriele Ciravegna, Pietro Barbiero, Píetro Lió and Dario Zanca. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Machine Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence and Lecture notes in computer science.

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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