Marco Gori
Impact in
- Artificial Intelligence top 0.2%
- Neural Networks and Applications
- Advanced Graph Neural Networks
- Topic Modeling
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Neural Networks and Applications 62
- Machine Learning and Algorithms 19
- Fuzzy Logic and Control Systems 14
- Topic Modeling 13
- Bayesian Modeling and Causal Inference 9
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 15
- Co-authors
- Franco Scarselli (18 shared papers)Gabriele Monfardini (5 shared papers)Paolo Frasconi (23 shared papers)A. Tesi (2 shared papers)Monica Bianchini (14 shared papers)Michelangelo Diligenti (29 shared papers)Marco Maggini (44 shared papers)G. Soda (24 shared papers)
In The Last Decade
Marco Gori
165 papers receiving 5.1k citations
Marco Gori's Hit Papers
Peers
Comparison fields: 5 of 174
- Artificial Intelligence 3.2k
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 630
- Information Systems 1.2k
- Statistical and Nonlinear Physics 535
Countries citing papers authored by Marco Gori
This map shows the geographic impact of Marco Gori'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 Gori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Gori more than expected).
Fields of papers citing papers by Marco Gori
This network shows the impact of papers produced by Marco Gori. 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 Gori. The network helps show where Marco Gori may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Gori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 185 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A new model for learning in graph domains Hit paper breakdown → | 2006 | 1048 |
| 2 | 1992 | 466 | |
| 3 | Focused Crawling Using Context Graphs | 2000 | 330 |
| 4 | 2005 | 314 | |
| 5 | 1998 | 270 | |
| 6 | ItemRank: a random-walk based scoring algorithm for recommender engines | 2007 | 171 |
| 7 | 1995 | 144 | |
| 8 | 1992 | 135 | |
| 9 | 2001 | 126 | |
| 10 | 2006 | 121 | |
| 11 | 2004 | 116 | |
| 12 | 2005 | 98 | |
| 13 | 1996 | 89 | |
| 14 | 1998 | 87 | |
| 15 | 2003 | 70 | |
| 16 | 2015 | 67 | |
| 17 | 1998 | 67 | |
| 18 | 2017 | 64 | |
| 19 | 2003 | 62 | |
| 20 | 1998 | 58 |
About Marco Gori
Marco Gori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 185 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neural Networks and Applications (62 papers), Web Data Mining and Analysis (24 papers), Machine Learning and Algorithms (19 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (15 papers), Fuzzy Logic and Control Systems (14 papers), Topic Modeling (13 papers) and Bayesian Modeling and Causal Inference (9 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (1.6k citations), Signal Processing (630 citations), Information Systems (1.2k citations) and Statistical and Nonlinear Physics (535 citations). Marco Gori has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Franco Scarselli, Gabriele Monfardini, Paolo Frasconi, A. Tesi, Monica Bianchini, Michelangelo Diligenti, Marco Maggini, G. Soda, Augusto Pucci and C. Lee Giles. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing, Pattern Recognition Letters, Neural Networks and Machine Learning.
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.