F. Cesarini
Impact in
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- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
- Artificial Intelligence top 10%
- Semantic Web and Ontologies
- Text and Document Classification Technologies
Papers in
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- Image Retrieval and Classification Techniques 11
- Handwritten Text Recognition Techniques 9
- Advanced Image and Video Retrieval Techniques 6
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- Algorithms and Data Compression 7
- Semantic Web and Ontologies 7
- Co-authors
- G. Soda (27 shared papers)Simone Marinai (15 shared papers)Marco Gori (12 shared papers)Lorenzo Sarti (1 shared paper)Enrico Francesconi (6 shared papers)Jenny Sheng (3 shared papers)Alessandro Artale (5 shared papers)A.M. Colla (1 shared paper)
In The Last Decade
F. Cesarini
27 papers receiving 394 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 347
- Artificial Intelligence 131
- Media Technology 33
- Signal Processing 40
- Information Systems 58
Countries citing papers authored by F. Cesarini
This map shows the geographic impact of F. Cesarini'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 F. Cesarini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Cesarini more than expected).
Fields of papers citing papers by F. Cesarini
This network shows the impact of papers produced by F. Cesarini. 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 F. Cesarini. The network helps show where F. Cesarini may publish in the future.
Co-authors
The 15 scholars most cited alongside F. Cesarini, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 71 | |
| 2 | 1998 | 68 | |
| 3 | 1999 | 35 | |
| 4 | 2002 | 33 | |
| 5 | 2001 | 32 | |
| 6 | 2003 | 31 | |
| 7 | 2002 | 27 | |
| 8 | 2004 | 21 | |
| 9 | 1996 | 16 | |
| 10 | 2002 | 16 | |
| 11 | 1996 | 15 | |
| 12 | 1999 | 11 | |
| 13 | 2002 | 7 | |
| 14 | 2002 | 7 | |
| 15 | 2002 | 6 | |
| 16 | 2001 | 6 | |
| 17 | 1982 | 4 | |
| 18 | 1983 | 4 | |
| 19 | 1991 | 3 | |
| 20 | 2000 | 2 |
About F. Cesarini
F. Cesarini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Information Systems, having authored 33 papers that have together received 428 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (11 papers), Advanced Database Systems and Queries (10 papers), Handwritten Text Recognition Techniques (9 papers), Data Management and Algorithms (8 papers), Algorithms and Data Compression (7 papers), Semantic Web and Ontologies (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Web Data Mining and Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (347 citations), Artificial Intelligence (131 citations), Media Technology (33 citations), Signal Processing (40 citations) and Information Systems (58 citations). F. Cesarini has collaborated with scholars based in Italy, Germany and Japan. Frequent co-authors include G. Soda, Simone Marinai, Marco Gori, Lorenzo Sarti, Enrico Francesconi, Jenny Sheng, Alessandro Artale, A.M. Colla, Michelangelo Diligenti and Emanuele Marino. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Lecture notes in computer science, Information Systems, Data & Knowledge Engineering and ACM Transactions on Database Systems.
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.