Sabrina Giordano

464 total citations
31 papers, 319 citations indexed

About

Sabrina Giordano is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Sabrina Giordano has authored 31 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 7 papers in Artificial Intelligence and 4 papers in Management Science and Operations Research. Recurrent topics in Sabrina Giordano's work include Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Sabrina Giordano is often cited by papers focused on Advanced Statistical Methods and Models (7 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (5 papers). Sabrina Giordano collaborates with scholars based in Italy, Germany and United States. Sabrina Giordano's co-authors include Filippo Domma, Roberto Colombi, Pier Francesco Perri, Mariangela Zenga, Francesca Condino, Giovanna De Benedictis, Serena Dato, E Feraco, Giuseppe Passarino and Alberto Montesanto and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Statistical Software and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Sabrina Giordano

31 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sabrina Giordano Italy 10 170 93 58 45 42 31 319
Yusra Tashkandy Saudi Arabia 12 283 1.7× 165 1.8× 35 0.6× 28 0.6× 51 1.2× 93 436
M. B. Rajarshi India 10 268 1.6× 124 1.3× 67 1.2× 77 1.7× 25 0.6× 31 392
Adriano K. Suzuki Brazil 10 232 1.4× 86 0.9× 30 0.5× 65 1.4× 14 0.3× 55 294
Vandna Jowaheer Mauritius 12 174 1.0× 15 0.2× 111 1.9× 40 0.9× 73 1.7× 48 373
B. Raja Rao United States 10 193 1.1× 47 0.5× 23 0.4× 50 1.1× 37 0.9× 54 374
Manoel Santos‐Neto Brazil 9 264 1.6× 101 1.1× 52 0.9× 57 1.3× 25 0.6× 21 327
K. K. Jose India 11 318 1.9× 177 1.9× 98 1.7× 58 1.3× 20 0.5× 38 386
George Iliopoulos Greece 12 299 1.8× 122 1.3× 28 0.5× 66 1.5× 6 0.1× 35 373
Malwane M. A. Ananda United States 11 442 2.6× 194 2.1× 81 1.4× 69 1.5× 43 1.0× 37 580
S.K. Upadhyay India 13 338 2.0× 204 2.2× 17 0.3× 52 1.2× 17 0.4× 52 437

Countries citing papers authored by Sabrina Giordano

Since Specialization
Citations

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

Fields of papers citing papers by Sabrina Giordano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabrina Giordano

This figure shows the co-authorship network connecting the top 25 collaborators of Sabrina Giordano. A scholar is included among the top collaborators of Sabrina Giordano 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 Sabrina Giordano. Sabrina Giordano 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.
Colombi, Roberto, Sabrina Giordano, & Maria Kateri. (2023). Hidden Markov models for longitudinal rating data with dynamic response styles. Statistical Methods & Applications. 1 indexed citations
2.
Gallo, Enrico, Carlo Diaferia, Sabrina Giordano, et al.. (2023). Ultrashort Cationic Peptide Fmoc-FFK as Hydrogel Building Block for Potential Biomedical Applications. Gels. 10(1). 12–12. 4 indexed citations
3.
Giordano, Sabrina, Enrico Gallo, Carlo Diaferia, et al.. (2023). Multicomponent Peptide-Based Hydrogels Containing Chemical Functional Groups as Innovative Platforms for Biotechnological Applications. Gels. 9(11). 903–903. 4 indexed citations
4.
Giordano, Sabrina. (2023). Data Science Ethics: Concepts, Techniques and Cautionary Tales. Journal of the American Statistical Association. 118(541). 774–776. 6 indexed citations
5.
Agresti, Alan, Sabrina Giordano, & Anna Gottard. (2022). A Review of Score-Test-Based Inference for Categorical Data. Journal of Quantitative Economics. 20(S1). 31–48. 1 indexed citations
6.
Domma, Filippo, Francesca Condino, & Sabrina Giordano. (2018). A new formulation of the Dagum distribution in terms of income inequality and poverty measures. Physica A Statistical Mechanics and its Applications. 511. 104–126. 19 indexed citations
7.
Colombi, Roberto, Sabrina Giordano, Anna Gottard, & Maria Iannario. (2018). Hierarchical marginal models with latent uncertainty. Scandinavian Journal of Statistics. 46(2). 595–620. 8 indexed citations
8.
Colombi, Roberto & Sabrina Giordano. (2016). A class of mixture models for multidimensional ordinal data. Statistical Modelling. 16(4). 322–340. 9 indexed citations
9.
Domma, Filippo & Sabrina Giordano. (2015). Concomitants of m-generalized order statistics from generalized Farlie–Gumbel–Morgenstern distribution family. Journal of Computational and Applied Mathematics. 294. 413–435. 23 indexed citations
10.
Colombi, Roberto & Sabrina Giordano. (2015). Multiple hidden Markov models for categorical time series. Journal of Multivariate Analysis. 140. 19–30. 2 indexed citations
11.
Benfenati, Emilio, Serena Manganelli, Sabrina Giordano, Giuseppa Raitano, & Alberto Manganaro. (2015). Hierarchical Rules for Read-Across and In Silico Models of Mutagenicity. Journal of Environmental Science and Health Part C. 33(4). 385–403. 9 indexed citations
12.
Giordano, Sabrina. (2014). USOS Y EFECTOS DEL FOSFATO DE CALCIO AMORFO (FCA) EN LA ODONTOLOGÍA RESTAURADORA Y PREVENTIVA. Acta odontológica venezolana. 48(3). 49–50. 1 indexed citations
13.
Colombi, Roberto & Sabrina Giordano. (2014). A multivariate Cub model. 1 indexed citations
14.
Colombi, Roberto & Sabrina Giordano. (2012). Graphical models for multivariate Markov chains. Journal of Multivariate Analysis. 107. 90–103. 4 indexed citations
15.
Colombi, Roberto & Sabrina Giordano. (2012). Monotone dependence in graphical models for multivariate Markov chains. Metrika. 76(7). 873–885. 1 indexed citations
16.
Colombi, Roberto & Sabrina Giordano. (2011). Testing lumpability for marginal discrete hidden Markov models. AStA Advances in Statistical Analysis. 95(3). 293–311. 3 indexed citations
17.
Giordano, Sabrina & Pier Francesco Perri. (2011). Efficiency comparison of unrelated question models based on same privacy protection degree. Statistical Papers. 53(4). 987–999. 9 indexed citations
18.
Giordano, Sabrina, et al.. (2007). Gingivitis ulcero necrosante y su relación con el VIH/SIDA. Acta odontológica venezolana. 45(3). 473–478. 1 indexed citations
19.
Colombi, Roberto & Sabrina Giordano. (2006). ALCUNE INDIPENDENZE CONDIZIONALI NELLE SERIE STORICHE CATEGORIALI BIVARIATE. Statistica. 1(1). 19–38. 1 indexed citations
20.
Passarino, Giuseppe, Alberto Montesanto, Serena Dato, et al.. (2006). Sex and Age Specificity of Susceptibility Genes Modulating Survival at Old Age. Human Heredity. 62(4). 213–220. 42 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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