Marcello Pelillo
Impact in
-
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Graph Theory and Algorithms
- Image Retrieval and Classification Techniques
- Media Technology top 0.2%
- Remote-Sensing Image Classification
Papers in
-
- Advanced Image and Video Retrieval Techniques 25
- Graph Theory and Algorithms 24
- Image Retrieval and Classification Techniques 11
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- Data Management and Algorithms 20
- Journals
- Pattern Recognition Letters (13 papers)Pattern Recognition (11 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (11 papers)Neural Computation (4 papers)International Journal of Machine Learning and Cybernetics (3 papers)
- Partner nations
- ItalyUnited StatesChina
In The Last Decade
Marcello Pelillo
146 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Computer Vision and Pattern Recognition 3.3k
- Media Technology 1.2k
- Computational Mathematics 51
- Artificial Intelligence 1.7k
- Signal Processing 502
Countries citing papers authored by Marcello Pelillo
This map shows the geographic impact of Marcello Pelillo'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 Marcello Pelillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcello Pelillo more than expected).
Fields of papers citing papers by Marcello Pelillo
This network shows the impact of papers produced by Marcello Pelillo. 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 Marcello Pelillo. The network helps show where Marcello Pelillo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcello Pelillo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 58 | |
| 6 | 2021 | 2 | |
| 7 | Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images Hit paper breakdown → | 2021 | 172 |
| 8 | 2019 | 10 | |
| 9 | 2019 | 5 | |
| 10 | 2018 | 3 | |
| 11 | DOTA: A Large-Scale Dataset for Object Detection in Aerial Images Hit paper breakdown → | 2018 | 2094 |
| 12 | 2018 | 26 | |
| 13 | 2016 | 40 | |
| 14 | 2016 | 12 | |
| 15 | Towards a Holistic Theory of Pattern Recognition - A Game-theoretic Perspective. | 2015 | 1 |
| 16 | Computing the Graph Edit Distance Using Dominant Sets | 2012 | 9 |
| 17 | A Game-Theoretic Approach to Hypergraph Clustering | 2009 | 46 |
| 18 | 2006 | 17 | |
| 19 | Efficient Out-of-Sample Extension of Dominant-Set Clusters | 2004 | 24 |
| 20 | The Maximum Clique Problem | 1999 | 130 |
About Marcello Pelillo
Marcello Pelillo is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 157 papers that have together received 5.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (25 papers), Graph Theory and Algorithms (24 papers), Data Management and Algorithms (20 papers), Advanced Graph Neural Networks (17 papers), Complex Network Analysis Techniques (14 papers), Advanced Graph Theory Research (13 papers), Image Retrieval and Classification Techniques (11 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.3k citations), Media Technology (1.2k citations), Computational Mathematics (51 citations), Artificial Intelligence (1.7k citations) and Signal Processing (502 citations). Marcello Pelillo has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Gui-Song Xia, Samuel Rota Bulò, Liangpei Zhang, Jian Ding, Mihai Datcu, Zhen Zhu, Jiebo Luo, Xiang Bai, Serge Belongie and Massimiliano Pavan. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Computation and International Journal of Machine Learning and Cybernetics.
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.