F. Cesarini
Impact in
-
- Handwritten Text Recognition Techniques
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Image Processing and 3D Reconstruction
Papers in
-
- Image Retrieval and Classification Techniques 9
- Handwritten Text Recognition Techniques 8
- Advanced Image and Video Retrieval Techniques 3
-
- Algorithms and Data Compression 7
- Semantic Web and Ontologies 4
- Co-authors
- G. Soda (22 shared papers)Simone Marinai (11 shared papers)Marco Gori (10 shared papers)Enrico Francesconi (6 shared papers)Lorenzo Sarti (1 shared paper)Jenny Sheng (3 shared papers)Emanuele Marino (1 shared paper)Alessandro Artale (2 shared papers)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (2 papers)Data & Knowledge Engineering (1 paper)Information Systems (1 paper)Pattern Analysis and Applications (1 paper)ACM Transactions on Database Systems (1 paper)
- Partner nations
- Italy
In The Last Decade
F. Cesarini
21 papers receiving 271 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 234
- Signal Processing 31
- Artificial Intelligence 88
- Media Technology 23
- Information Systems 40
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 12 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 58 | |
| 2 | 2003 | 51 | |
| 3 | 2001 | 26 | |
| 4 | 1999 | 25 | |
| 5 | 2002 | 24 | |
| 6 | 2002 | 24 | |
| 7 | 2003 | 20 | |
| 8 | 2004 | 14 | |
| 9 | 1996 | 11 | |
| 10 | 1999 | 8 | |
| 11 | 2002 | 7 | |
| 12 | 2002 | 6 | |
| 13 | 2002 | 6 | |
| 14 | 1982 | 3 | |
| 15 | 1988 | 2 | |
| 16 | 1991 | 2 | |
| 17 | 1983 | 2 | |
| 18 | Subsumption Computation on an Object-Oriented Data Model | 1991 | 1 |
| 19 | An Assessment of the Query-Processing Capability of DBMAC. | 1983 | 1 |
| 20 | 1987 | 1 |
About F. Cesarini
F. Cesarini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Information Systems, having authored 23 papers that have together received 293 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Handwritten Text Recognition Techniques (8 papers), Algorithms and Data Compression (7 papers), Advanced Database Systems and Queries (6 papers), Data Management and Algorithms (5 papers), Semantic Web and Ontologies (4 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Web Data Mining and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Signal Processing (31 citations), Artificial Intelligence (88 citations), Media Technology (23 citations) and Information Systems (40 citations). F. Cesarini has collaborated with scholars based in Italy. Frequent co-authors include G. Soda, Simone Marinai, Marco Gori, Enrico Francesconi, Lorenzo Sarti, Jenny Sheng, Emanuele Marino, Alessandro Artale, Michelangelo Diligenti and A.M. Colla. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Data & Knowledge Engineering, Information Systems, Pattern Analysis and Applications 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.