F. Cesarini

589 total citations
23 papers, 293 citations indexed

About

F. Cesarini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, F. Cesarini has authored 23 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in F. Cesarini's work include Image Retrieval and Classification Techniques (9 papers), Handwritten Text Recognition Techniques (8 papers) and Algorithms and Data Compression (7 papers). F. Cesarini is often cited by papers focused on Image Retrieval and Classification Techniques (9 papers), Handwritten Text Recognition Techniques (8 papers) and Algorithms and Data Compression (7 papers). F. Cesarini collaborates with scholars based in Italy. F. Cesarini's co-authors include G. Soda, Simone Marinai, Marco Gori, Enrico Francesconi, Lorenzo Sarti, Jenny Sheng, Emanuele Marino, Alessandro Artale, A.M. Colla and Michelangelo Diligenti and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering and ACM Transactions on Database Systems.

In The Last Decade

F. Cesarini

21 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
F. Cesarini Italy 9 234 88 40 31 31 23 293
Allen Condit United States 9 144 0.6× 193 2.2× 106 2.6× 11 0.4× 23 0.7× 19 279
Julie Borsack United States 11 177 0.8× 226 2.6× 123 3.1× 11 0.4× 26 0.8× 22 332
Sundararajan Sellamanickam United States 7 126 0.5× 206 2.3× 52 1.3× 50 1.6× 21 0.7× 19 296
Sebastian Krinninger Austria 6 93 0.4× 75 0.9× 23 0.6× 56 1.8× 40 1.3× 17 175
Ning-San Chang United States 5 175 0.7× 67 0.8× 17 0.4× 75 2.4× 113 3.6× 8 264
Pau Riba Spain 11 239 1.0× 117 1.3× 19 0.5× 3 0.1× 49 1.6× 23 293
Tianlei Hu China 9 103 0.4× 159 1.8× 85 2.1× 38 1.2× 26 0.8× 28 244
Yi Wen China 6 162 0.7× 187 2.1× 22 0.6× 5 0.2× 12 0.4× 8 257
Yung‐Chen Chou Taiwan 10 461 2.0× 27 0.3× 32 0.8× 13 0.4× 28 0.9× 32 511
Binyuan Hui China 9 90 0.4× 214 2.4× 56 1.4× 22 0.7× 8 0.3× 22 271

Countries citing papers authored by F. Cesarini

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of F. Cesarini

This figure shows the co-authorship network connecting the top 25 collaborators of F. Cesarini. A scholar is included among the top collaborators of F. Cesarini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with F. Cesarini. F. Cesarini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Marinai, Simone, Emanuele Marino, F. Cesarini, & G. Soda. (2004). A general system for the retrieval of document images from digital libraries. Florence Research (University of Florence). 150–173. 14 indexed citations
2.
Cesarini, F., Enrico Francesconi, Marco Gori, & G. Soda. (2003). Analysis and understanding of multi-class invoices. International Journal on Document Analysis and Recognition (IJDAR). 6(2). 102–114. 20 indexed citations
3.
Cesarini, F., Simone Marinai, Lorenzo Sarti, & G. Soda. (2003). Trainable table location in document images. 3. 236–240. 51 indexed citations
4.
Cesarini, F., Enrico Francesconi, Marco Gori, et al.. (2002). Rectangle labelling for an invoice understanding system. Florence Research (University of Florence). 1. 324–330. 6 indexed citations
5.
Cesarini, F., Enrico Francesconi, Marco Gori, et al.. (2002). A neural-based architecture for spot-noisy logo recognition. Florence Research (University of Florence). 1. 175–179. 24 indexed citations
6.
Cesarini, F., Marco Gori, Simone Marinai, & G. Soda. (2002). A system for data extraction from forms of known class. Florence Research (University of Florence). 2. 1136–1140. 6 indexed citations
7.
Cesarini, F., et al.. (2002). Encoding of modified X-Y trees for document classification. Florence Research (University of Florence). 1131–1136. 24 indexed citations
8.
Cesarini, F., Enrico Francesconi, Marco Gori, et al.. (2002). Conceptual modelling for invoice document processing. Use Siena air (University of Siena). 596–603. 7 indexed citations
9.
Cesarini, F., A.M. Colla, Michelangelo Diligenti, et al.. (2001). Automatic document classification and indexing in high-volume applications. International Journal on Document Analysis and Recognition (IJDAR). 4(2). 69–83. 26 indexed citations
10.
Cesarini, F., Enrico Francesconi, Marco Gori, & G. Soda. (2000). Using Physical and Logical Constraints for Invoice Understanding. Pattern Analysis and Applications. 3(2). 182–195. 1 indexed citations
11.
Cesarini, F., Enrico Francesconi, Marco Gori, & G. Soda. (1999). A two level knowledge approach for understanding documents of a multi-class domain. Use Siena air (University of Siena). 135–138. 8 indexed citations
12.
Cesarini, F., Marco Gori, Simone Marinai, & G. Soda. (1998). INFORMys: a flexible invoice-like form-reader system. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(7). 730–745. 58 indexed citations
13.
Artale, Alessandro, F. Cesarini, & G. Soda. (1996). Describing database objects in a concept language environment. IEEE Transactions on Knowledge and Data Engineering. 8(2). 345–351. 11 indexed citations
14.
Cesarini, F., Michele Missikoff, & G. Soda. (1992). An expert system approach for database application tuning. Data & Knowledge Engineering. 8(1). 35–55.
15.
Cesarini, F. & G. Soda. (1991). A dynamic hash method with signature. ACM Transactions on Database Systems. 16(2). 309–337. 2 indexed citations
16.
Artale, Alessandro, F. Cesarini, & G. Soda. (1991). Subsumption Computation on an Object-Oriented Data Model. 124–140. 1 indexed citations
17.
Cesarini, F., G. Soda, & G. Zappa. (1988). A multiprocessor architecture and its application to adaptive control. Microprocessing and Microprogramming. 22(4). 301–310. 2 indexed citations
18.
Cesarini, F.. (1987). Database Machine Performance: Modeling Methodologies and Evaluation Strategies. Lecture notes in computer science. 1 indexed citations
19.
Cesarini, F., et al.. (1983). An Assessment of the Query-Processing Capability of DBMAC.. 109–129. 1 indexed citations
20.
Cesarini, F. & G. Soda. (1982). Binary trees paging. Information Systems. 7(4). 337–344. 3 indexed citations

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.

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