Marco Maggini
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 5%
- Signal Processing top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Marco GoriLorenzo SartiMichelangelo DiligentiMonica BianchiniFranco ScarselliG. SodaPaolo FrasconiStefano Melacci
- Topics
- Neural Networks and Applications (21 papers)Web Data Mining and Analysis (17 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceInternational Journal of Molecular SciencesPattern Recognition
- Partner nations
- ItalyUnited StatesAustralia
In The Last Decade
Marco Maggini
76 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 763
- Computer Vision and Pattern Recognition 457
- Information Systems 222
- Signal Processing 120
- Statistical and Nonlinear Physics 116
Countries citing papers authored by Marco Maggini
This map shows the geographic impact of Marco Maggini'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 Maggini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Maggini more than expected).
Fields of papers citing papers by Marco Maggini
This network shows the impact of papers produced by Marco Maggini. 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 Maggini. The network helps show where Marco Maggini may publish in the future.
Co-authorship network of co-authors of Marco Maggini
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Maggini. A scholar is included among the top collaborators of Marco Maggini 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 Maggini. Marco Maggini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | Towards Developmental AI: The paradox of Ravenous Intelligent Agents. | 1 |
| 9 | Semi-supervised active learning in graphical domains | 1 |
| 10 | Cluster Generation and Cluster Labelling for Web Snippets | 8 |
| 11 | A Cyclostationary Neural Network Model for the Prediction of the NO2 Concentration | 6 |
| 12 | Automatic term categorization by extracting knowledge from the Web | 4 |
| 13 | Learning web page scores by error back-propagation | 24 |
| 14 | 98 | |
| 15 | 1 | |
| 16 | Detecting Near-replicas on the Web by Content and Hyperlink Analysis. | 2 |
| 17 | A learning algorithm for web page scoring systems | 5 |
| 18 | 60 | |
| 19 | A voice device for X11 pointer control | 1 |
| 20 | 40 |
About Marco Maggini
Marco Maggini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (21 papers), Web Data Mining and Analysis (17 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (763 citations), Computer Vision and Pattern Recognition (457 citations) and Signal Processing (120 citations). Marco Maggini has collaborated with scholars based in Italy, United States and Australia. Frequent co-authors include Marco Gori, Lorenzo Sarti, Michelangelo Diligenti, Monica Bianchini, Franco Scarselli, G. Soda, Paolo Frasconi, Stefano Melacci, Lakhmi C. Jain and Bing Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Molecular Sciences and Pattern Recognition.
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.