Emanuele Marino
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts 6
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- Image Retrieval and Classification Techniques 8
- Augmented Reality Applications 7
- Handwritten Text Recognition Techniques 6
- Visual Attention and Saliency Detection 2
- Geology top 10%
- 3D Surveying and Cultural Heritage 3
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- Music and Audio Processing 3
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- Mathematics, Computing, and Information Processing 2
- Co-authors
- Fabio BrunoLoris BarbieriG. SodaSimone MarinaiMaurizio MuzzupappaF. CesariniFotis LiarokapisAntonio Lagudi
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionIndustrial and Manufacturing Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)IEEE Access (1 paper)Sensors (1 paper)
- Partner nations
- ItalyNetherlands
In The Last Decade
Emanuele Marino
21 papers receiving 324 citations
Peers
Comparison fields: 5 of 56
- Human-Computer Interaction 89
- Computer Vision and Pattern Recognition 223
- Industrial and Manufacturing Engineering 81
- Geology 31
- Computer Science Applications 7
Countries citing papers authored by Emanuele Marino
This map shows the geographic impact of Emanuele Marino'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 Emanuele Marino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuele Marino more than expected).
Fields of papers citing papers by Emanuele Marino
This network shows the impact of papers produced by Emanuele Marino. 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 Emanuele Marino. The network helps show where Emanuele Marino may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Emanuele Marino, 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 | 8 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 117 | |
| 10 | 2019 | 48 | |
| 11 | 2011 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 1 | |
| 15 | 2006 | 26 | |
| 16 | 2006 | 10 | |
| 17 | 2005 | 13 | |
| 18 | 2004 | 14 | |
| 19 | 2004 | 16 | |
| 20 | Word retrieval in document images without OCR. | 2003 | 1 |
About Emanuele Marino
Emanuele Marino is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Geology, having authored 21 papers that have together received 340 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Augmented Reality Applications (7 papers), Handwritten Text Recognition Techniques (6 papers), Virtual Reality Applications and Impacts (6 papers), Music and Audio Processing (3 papers), 3D Surveying and Cultural Heritage (3 papers), Mathematics, Computing, and Information Processing (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Human-Computer Interaction (89 citations), Computer Vision and Pattern Recognition (223 citations) and Industrial and Manufacturing Engineering (81 citations). Emanuele Marino has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Fabio Bruno, Loris Barbieri, G. Soda, Simone Marinai, Maurizio Muzzupappa, F. Cesarini, Fotis Liarokapis and Antonio Lagudi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Sensors.
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.