Rosanna Verde

992 total citations
30 papers, 383 citations indexed

About

Rosanna Verde is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Rosanna Verde has authored 30 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Signal Processing and 6 papers in Computational Theory and Mathematics. Recurrent topics in Rosanna Verde's work include Advanced Clustering Algorithms Research (11 papers), Neural Networks and Applications (8 papers) and Data Management and Algorithms (5 papers). Rosanna Verde is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Neural Networks and Applications (8 papers) and Data Management and Algorithms (5 papers). Rosanna Verde collaborates with scholars based in Italy, Brazil and Morocco. Rosanna Verde's co-authors include Antonio Irpino, Francisco de A.T. de Carvalho, Fabrizio Maturo, Marie Chavent, Yves Lechevallier, Mario Rosario Guarracino, Francesco Palumbo, Carlo Natale Lauro, Giuseppe Giordano and Ali Yahyaouy and has published in prestigious journals such as Expert Systems with Applications, Statistics in Medicine and Information Sciences.

In The Last Decade

Rosanna Verde

27 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosanna Verde Italy 11 213 70 68 62 58 30 383
Hans Hermann Bock Germany 6 227 1.1× 73 1.0× 89 1.3× 32 0.5× 33 0.6× 9 369
Manabu Ichino Japan 7 194 0.9× 84 1.2× 39 0.6× 18 0.3× 95 1.6× 24 353
Maciej Krawczak Poland 8 121 0.6× 51 0.7× 45 0.7× 120 1.9× 13 0.2× 38 283
Yves Lechevallier France 12 444 2.1× 172 2.5× 98 1.4× 83 1.3× 124 2.1× 43 736
Christian Döring Germany 7 203 1.0× 56 0.8× 27 0.4× 29 0.5× 149 2.6× 10 360
Pepa Ramírez‐Cobo Spain 13 119 0.6× 15 0.2× 60 0.9× 86 1.4× 50 0.9× 33 389
M. Carmen Garrido Spain 9 227 1.1× 26 0.4× 25 0.4× 35 0.6× 63 1.1× 34 402
Antonı́n Dvořák Czechia 14 349 1.6× 101 1.4× 70 1.0× 246 4.0× 31 0.5× 48 642
Ming Dong United States 12 275 1.3× 48 0.7× 12 0.2× 45 0.7× 144 2.5× 38 494
Tai Vovan Vietnam 14 310 1.5× 102 1.5× 75 1.1× 146 2.4× 212 3.7× 57 552

Countries citing papers authored by Rosanna Verde

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Verde, Rosanna, et al.. (2025). A cluster-wise regression method for distribution-valued data. Knowledge-Based Systems. 326. 113989–113989.
2.
Verde, Rosanna, et al.. (2025). FWLMkNN: Efficient functional K-nearest neighbor based on clustering and functional data analysis. Expert Systems with Applications. 292. 128567–128567.
3.
Verde, Rosanna, et al.. (2024). K‐Fuse: Credit card fraud detection based on a classification method with a priori class partitioning and a novel feature selection strategy. Applied Stochastic Models in Business and Industry. 40(4). 1060–1081. 1 indexed citations
4.
Carvalho, Francisco de A.T. de, et al.. (2022). Batch Self-Organizing Maps for Distributional Data with an Automatic Weighting of Variables and Components. Journal of Classification. 39(2). 343–375. 5 indexed citations
5.
Maturo, Fabrizio & Rosanna Verde. (2022). Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data. Statistics in Medicine. 41(12). 2247–2275. 18 indexed citations
6.
Maturo, Fabrizio & Rosanna Verde. (2022). Supervised classification of curves via a combined use of functional data analysis and tree-based methods. Computational Statistics. 38(1). 419–459. 9 indexed citations
7.
Verde, Rosanna, et al.. (2019). Histogram-based clustering of multiple data streams. Knowledge and Information Systems. 62(1). 203–238. 5 indexed citations
8.
Verde, Rosanna, et al.. (2016). Spatial variability clustering for spatially dependent functional data. Statistics and Computing. 27(3). 645–658. 15 indexed citations
9.
Verde, Rosanna, et al.. (2016). Modified half-region depth for spatially dependent functional data. Stochastic Environmental Research and Risk Assessment. 31(1). 87–103. 5 indexed citations
10.
Carvalho, Francisco de A.T. de, Antonio Irpino, & Rosanna Verde. (2015). Fuzzy clustering of distribution-valued data using an adaptive L 2 Wasserstein distance. 1–8. 3 indexed citations
11.
Irpino, Antonio & Rosanna Verde. (2015). Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance. Advances in Data Analysis and Classification. 9(1). 81–106. 13 indexed citations
12.
Irpino, Antonio & Rosanna Verde. (2014). Basic statistics for distributional symbolic variables: a new metric-based approach. Advances in Data Analysis and Classification. 9(2). 143–175. 28 indexed citations
13.
Irpino, Antonio, Rosanna Verde, & Francisco de A.T. de Carvalho. (2013). Dynamic clustering of histogram data based on adaptive squared Wasserstein distances. Expert Systems with Applications. 41(7). 3351–3366. 35 indexed citations
14.
Guarracino, Mario Rosario, et al.. (2013). Fuzzy regularized generalized eigenvalue classifier with a novel membership function. Information Sciences. 245. 53–62. 4 indexed citations
15.
Guarracino, Mario Rosario, et al.. (2012). Supervised classification of distributed data streams for smart grids. Energy Systems. 3(1). 95–108. 6 indexed citations
16.
Guarracino, Mario Rosario, Antonio Irpino, & Rosanna Verde. (2010). Multiclass Generalized Eigenvalue Proximal Support Vector Machines. 2. 25–32. 10 indexed citations
17.
Chavent, Marie, Francisco de A.T. de Carvalho, Yves Lechevallier, & Rosanna Verde. (2006). New clustering methods for interval data. Computational Statistics. 21(2). 211–229. 61 indexed citations
18.
Verde, Rosanna, et al.. (2003). Symbolic clustering interpretation and visualization. 5 indexed citations
19.
Trousse, Brigitte, et al.. (2003). Automatic Clustering for the Web Usage Mining. 2 indexed citations
20.
Lauro, Carlo Natale, Giuseppe Giordano, & Rosanna Verde. (1998). A multidimensional approach to conjoint analysis. Applied Stochastic Models and Data Analysis. 14(4). 265–274. 9 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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