Laura Caponetti
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 10%
- Co-authors
- Giovanna CastellanoAnna Maria FanelliTeresa M. A. BasileCiro CastielloGianluca SforzaEttore StellaA. DistanteFrancesco Lovergine
- Topics
- Medical Image Segmentation Techniques (6 papers)Image Retrieval and Classification Techniques (5 papers)Robotics and Sensor-Based Localization (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
In The Last Decade
Laura Caponetti
22 papers receiving 228 citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 116
- Artificial Intelligence 40
- Biomedical Engineering 38
- Radiology, Nuclear Medicine and Imaging 32
- Media Technology 28
Countries citing papers authored by Laura Caponetti
This map shows the geographic impact of Laura Caponetti'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 Laura Caponetti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Caponetti more than expected).
Fields of papers citing papers by Laura Caponetti
This network shows the impact of papers produced by Laura Caponetti. 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 Laura Caponetti. The network helps show where Laura Caponetti may publish in the future.
Co-authorship network of co-authors of Laura Caponetti
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Caponetti. A scholar is included among the top collaborators of Laura Caponetti 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 Laura Caponetti. Laura Caponetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 19 | |
| 3 | Fuzzy Logic for Image Processing: A Gentle Introduction Using Java | 3 |
| 4 | 9 | |
| 5 | 29 | |
| 6 | 16 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 43 | |
| 17 | 0 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 6 |
About Laura Caponetti
Laura Caponetti is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 24 papers that have together received 245 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (5 papers) and Robotics and Sensor-Based Localization (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Media Technology (28 citations) and Industrial and Manufacturing Engineering (21 citations). Laura Caponetti has collaborated with scholars based in Italy, Mexico and Poland. Frequent co-authors include Giovanna Castellano, Anna Maria Fanelli, Teresa M. A. Basile, Ciro Castiello, Gianluca Sforza, Ettore Stella, A. Distante, Francesco Lovergine, G. Attolico and Nicola Ancona. Their work appears in journals such as Applied Soft Computing, IEEE Transactions on Instrumentation and Measurement and Image and Vision Computing.
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.