Rosanna Verde
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Statistics and Probability top 5%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Antonio IrpinoFrancisco de A.T. de CarvalhoFabrizio MaturoMarie ChaventYves LechevallierMario Rosario GuarracinoFrancesco PalumboGiuseppe Giordano
- Topics
- Advanced Clustering Algorithms Research (11 papers)Neural Networks and Applications (8 papers)Data Management and Algorithms (5 papers)
In The Last Decade
Rosanna Verde
27 papers receiving 365 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 213
- Signal Processing 70
- Statistics and Probability 68
- Management Science and Operations Research 62
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Rosanna Verde
This map shows the geographic impact of Rosanna Verde'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 Rosanna Verde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosanna Verde more than expected).
Fields of papers citing papers by Rosanna Verde
This network shows the impact of papers produced by Rosanna Verde. 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 Rosanna Verde. The network helps show where Rosanna Verde may publish in the future.
Co-authorship network of co-authors of Rosanna Verde
This figure shows the co-authorship network connecting the top 25 collaborators of Rosanna Verde. A scholar is included among the top collaborators of Rosanna Verde 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 Rosanna Verde. Rosanna Verde is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 28 | |
| 13 | 35 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 10 | |
| 17 | 61 | |
| 18 | Automatic Clustering for the Web Usage Mining | 2 |
| 19 | Symbolic clustering interpretation and visualization | 5 |
| 20 | 9 |
About Rosanna Verde
Rosanna Verde is a scholar working on Signal Processing, Artificial Intelligence and Statistics and Probability, having authored 30 papers that have together received 383 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (11 papers), Neural Networks and Applications (8 papers) and Data Management and Algorithms (5 papers). The work is most often cited by research in Statistics and Probability (68 citations), Artificial Intelligence (213 citations) and Signal Processing (70 citations). Rosanna Verde has collaborated with scholars based in Italy, Brazil and Morocco. Frequent co-authors include Antonio Irpino, Francisco de A.T. de Carvalho, Fabrizio Maturo, Marie Chavent, Yves Lechevallier, Mario Rosario Guarracino, Francesco Palumbo, Giuseppe Giordano, Carlo Natale Lauro and Ali Yahyaouy. Their work appears in journals such as Expert Systems with Applications, Statistics in Medicine and Information Sciences.
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.