Augusto Pucci
Impact in
- Information Systems top 2%
- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
Papers in
-
- Recommender Systems and Techniques 4
- Web Data Mining and Analysis 2
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- Neural Networks and Applications 1
- Algorithms and Data Compression 1
- Topic Modeling 1
- Co-authors
- Marco Gori (7 shared papers)Marco Maggini (4 shared papers)Ah Chung Tsoi (1 shared paper)Chiara Mocenni (1 shared paper)Markus Hagenbuchner (1 shared paper)Franco Scarselli (1 shared paper)Michelangelo Diligenti (2 shared papers)Monica Bianchini (1 shared paper)
- Journals
- Systems Science (1 paper)Use Siena air (University of Siena) (4 papers)The European Symposium on Artificial Neural Networks (1 paper)International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- Italy
In The Last Decade
Augusto Pucci
8 papers receiving 309 citations
Peers
Comparison fields: 5 of 31
- Information Systems 266
- Artificial Intelligence 210
- Statistical and Nonlinear Physics 54
- Computer Vision and Pattern Recognition 57
- Transportation 17
Countries citing papers authored by Augusto Pucci
This map shows the geographic impact of Augusto Pucci'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 Augusto Pucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Augusto Pucci more than expected).
Fields of papers citing papers by Augusto Pucci
This network shows the impact of papers produced by Augusto Pucci. 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 Augusto Pucci. The network helps show where Augusto Pucci may publish in the future.
Co-authors
The 8 scholars most cited alongside Augusto Pucci, 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 | ItemRank: a random-walk based scoring algorithm for recommender engines | 2007 | 171 |
| 2 | 2006 | 122 | |
| 3 | A random-walk based scoring algorithm with application to recommender systems for large-scale e-commerce | 2006 | 16 |
| 4 | A Cyclostationary Neural Network Model for the Prediction of the NO2 Concentration | 2006 | 6 |
| 5 | Investigation into the application of graph neural networks to large-scale recommender systems | 2006 | 4 |
| 6 | 2004 | 4 | |
| 7 | Detecting Near-replicas on the Web by Content and Hyperlink Analysis. | 2003 | 2 |
| 8 | Semi-supervised active learning in graphical domains | 2007 | 1 |
About Augusto Pucci
Augusto Pucci is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Computer Networks and Communications, having authored 8 papers that have together received 326 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (4 papers), Web Data Mining and Analysis (2 papers), Data Management and Algorithms (2 papers), Advanced Bandit Algorithms Research (2 papers), Control Systems and Identification (1 paper), Neural Networks and Applications (1 paper), Algorithms and Data Compression (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Information Systems (266 citations), Artificial Intelligence (210 citations), Statistical and Nonlinear Physics (54 citations), Computer Vision and Pattern Recognition (57 citations) and Transportation (17 citations). Augusto Pucci has collaborated with scholars based in Italy. Frequent co-authors include Marco Gori, Marco Maggini, Ah Chung Tsoi, Chiara Mocenni, Markus Hagenbuchner, Franco Scarselli, Michelangelo Diligenti and Monica Bianchini. Their work appears in journals such as Systems Science, Use Siena air (University of Siena), The European Symposium on Artificial Neural Networks and International Joint Conference on Artificial Intelligence.
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.