Cristina Tortora

704 total citations · 1 hit paper
24 papers, 426 citations indexed

About

Cristina Tortora is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cristina Tortora has authored 24 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Statistics and Probability and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cristina Tortora's work include Bayesian Methods and Mixture Models (14 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Cristina Tortora is often cited by papers focused on Bayesian Methods and Mixture Models (14 papers), Advanced Clustering Algorithms Research (8 papers) and Statistical Methods and Bayesian Inference (5 papers). Cristina Tortora collaborates with scholars based in Italy, United States and Canada. Cristina Tortora's co-authors include William M. Deen, Amélie C. M. Gaudin, Ralph C. Martin, Tor N. Tolhurst, Alan P. Ker, Ken Janovicek, Francesco Palumbo, Paul D. McNicholas, Brian C. Franczak and Ryan P. Browne and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Statistical Software.

In The Last Decade

Cristina Tortora

21 papers receiving 414 citations

Hit Papers

Increasing Crop Diversity Mitigates Weather Variations an... 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability
    2015 301 citations Amélie C. M. Gaudin, Tor N. Tolhurst et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Tortora Italy 9 128 119 108 88 87 24 426
Nicolás F. Martín United States 15 108 0.8× 91 0.8× 303 2.8× 65 0.7× 30 0.3× 42 627
B. M. Whelan Australia 15 175 1.4× 76 0.6× 356 3.3× 53 0.6× 48 0.6× 31 766
Frédérick Garçia France 10 79 0.6× 46 0.4× 88 0.8× 79 0.9× 71 0.8× 22 427
Robert Faivre France 15 54 0.4× 90 0.8× 301 2.8× 136 1.5× 21 0.2× 32 632
Eduardo Godoy de Souza Brazil 17 228 1.8× 66 0.6× 356 3.3× 23 0.3× 16 0.2× 83 893
Yongli Zhang China 14 273 2.1× 223 1.9× 307 2.8× 32 0.4× 8 0.1× 31 499
Laila A. Puntel United States 12 158 1.2× 224 1.9× 321 3.0× 119 1.4× 24 0.3× 32 564
Jean Villerd France 16 105 0.8× 84 0.7× 224 2.1× 126 1.4× 52 0.6× 37 635
M. Donatelli Italy 10 100 0.8× 47 0.4× 133 1.2× 183 2.1× 60 0.7× 18 452
B.F. Schaap Netherlands 10 85 0.7× 49 0.4× 172 1.6× 207 2.4× 56 0.6× 28 461

Countries citing papers authored by Cristina Tortora

Since Specialization
Citations

This map shows the geographic impact of Cristina Tortora'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 Cristina Tortora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Tortora more than expected).

Fields of papers citing papers by Cristina Tortora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cristina Tortora. 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 Cristina Tortora. The network helps show where Cristina Tortora may publish in the future.

Co-authorship network of co-authors of Cristina Tortora

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Tortora. A scholar is included among the top collaborators of Cristina Tortora 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 Cristina Tortora. Cristina Tortora 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.
Tortora, Cristina, et al.. (2023). Missing Values and Directional Outlier Detection in Model-Based Clustering. Journal of Classification. 41(3). 480–513. 1 indexed citations
2.
Tortora, Cristina, Brian C. Franczak, Luca Bagnato, & Antonio Punzo. (2023). A Laplace-based model with flexible tail behavior. Computational Statistics & Data Analysis. 192. 107909–107909. 4 indexed citations
3.
Zingone, Adriana, Cristina Tortora, Domenico D’Alelio, Francesca Margiotta, & Diana Sarno. (2022). Assembly rules vary seasonally in stable phytoplankton associations of the Gulf of Naples (Mediterranean Sea). Marine Ecology. 44(3). 13 indexed citations
4.
5.
Tortora, Cristina & Francesco Palumbo. (2022). Clustering Mixed-Type Data Using a Probabilistic Distance Algorithm. SSRN Electronic Journal.
6.
Tortora, Cristina, et al.. (2022). Nonparametric Regression Analysis of Cyclist Waiting Times across Three Behavioral Typologies. ISPRS International Journal of Geo-Information. 11(3). 169–169. 1 indexed citations
7.
Tortora, Cristina, et al.. (2022). Model-based clustering and outlier detection with missing data. Advances in Data Analysis and Classification. 16(1). 5–30. 11 indexed citations
8.
Tortora, Cristina & Francesco Palumbo. (2022). Clustering mixed-type data using a probabilistic distance algorithm. Applied Soft Computing. 130. 109704–109704. 8 indexed citations
9.
Tortora, Cristina, et al.. (2021). Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package. Journal of Statistical Software. 98(3). 11 indexed citations
10.
Tortora, Cristina, et al.. (2021). Spectral Clustering of Mixed-Type Data. SHILAP Revista de lepidopterología. 5(1). 1–11. 10 indexed citations
11.
Tortora, Cristina, Paul D. McNicholas, & Francesco Palumbo. (2020). A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions. SN Computer Science. 1(2). 6 indexed citations
12.
Fontana, Paolo, Cristina Tortora, Roberta Petillo, et al.. (2017). Brachydactyly type E in an Italian family with 6p25 trisomy. European Journal of Medical Genetics. 60(3). 195–199. 4 indexed citations
13.
Tortora, Cristina, et al.. (2015). Factor probabilistic distance clustering (FPDC): a new clustering method. Advances in Data Analysis and Classification. 10(4). 441–464. 9 indexed citations
14.
Gaudin, Amélie C. M., Tor N. Tolhurst, Alan P. Ker, et al.. (2015). Increasing Crop Diversity Mitigates Weather Variations and Improves Yield Stability. PLoS ONE. 10(2). e0113261–e0113261. 301 indexed citations breakdown →
15.
Franczak, Brian C., Cristina Tortora, Ryan P. Browne, & Paul D. McNicholas. (2015). Unsupervised learning via mixtures of skewed distributions with hypercube contours. Pattern Recognition Letters. 58. 69–76. 11 indexed citations
16.
Tortora, Cristina, Brian C. Franczak, Ryan P. Browne, & Paul D. McNicholas. (2014). Model-Based Clustering Using Mixtures of Coalesced Generalized Hyperbolic Distributions. arXiv (Cornell University). 1 indexed citations
17.
Tortora, Cristina, Brian C. Franczak, Ryan P. Browne, & Paul D. McNicholas. (2014). Mixtures of Multiple Scaled Generalized Hyperbolic Distributions. arXiv (Cornell University). 2 indexed citations
18.
Tortora, Cristina. (2011). Non-hierarchical clustering methods on factorialsubspaces. Università degli Studi di Napoli Federico II. 2 indexed citations
19.
Piegari, Luigi, Cristina Tortora, & Ottorino Veneri. (2001). A mathematical model of charge and discharge for lead batteries in electric road vehicles. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–7. 7 indexed citations
20.
Tortora, Cristina, et al.. (1982). A New Type of Lead Acid Storage Battery for Telecommunications. 237–244.

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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