Marco Gori
- Artificial Intelligence top 0.2%
- Neural Networks and Applications 62
- Machine Learning and Algorithms 19
- Fuzzy Logic and Control Systems 14
- Topic Modeling 13
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 15
- Handwritten Text Recognition Techniques 9
- Signal Processing top 1%
- Information Systems top 0.5%
- Web Data Mining and Analysis 24
Marco Gori
165 papers receiving 5.1k citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 0 | |
| 10 | Image Classification Using Deep Learning and Prior Knowledge | 2018 | 4 |
| 11 | Variational Laws of Visual Attention for Dynamic Scenes | 2017 | 13 |
| 12 | Towards Developmental AI: The paradox of Ravenous Intelligent Agents. | 2011 | 1 |
| 13 | Semi-supervised active learning in graphical domains | 2007 | 1 |
| 14 | A random-walk based scoring algorithm with application to recommender systems for large-scale e-commerce | 2006 | 16 |
| 15 | Investigation into the application of graph neural networks to large-scale recommender systems | 2006 | 4 |
| 16 | Likely-admissible and sub-symbolic heuristics | 2004 | 23 |
| 17 | Focus Crawling by Context Graphs | 2000 | 4 |
| 18 | Learning efficiently with neural networks: a theoretical comparison between structured and flat representations | 2000 | 7 |
| 19 | Learning in structured domains. | 1999 | 1 |
| 20 | 1998 | 14 |
About Marco Gori
Marco Gori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, 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 Handwritten Text Recognition Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (1.6k citations) and Signal Processing (630 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.