Silvia Bozza

982 total citations
46 papers, 650 citations indexed

About

Silvia Bozza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Genetics. According to data from OpenAlex, Silvia Bozza has authored 46 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Genetics. Recurrent topics in Silvia Bozza's work include Bayesian Modeling and Causal Inference (12 papers), Handwritten Text Recognition Techniques (10 papers) and Forensic and Genetic Research (9 papers). Silvia Bozza is often cited by papers focused on Bayesian Modeling and Causal Inference (12 papers), Handwritten Text Recognition Techniques (10 papers) and Forensic and Genetic Research (9 papers). Silvia Bozza collaborates with scholars based in Switzerland, Italy and United Kingdom. Silvia Bozza's co-authors include Franco Taroni, Alex Biedermann, Colin Aitken, Raymond Marquis, Paolo Garbolino, Matthieu Schmittbuhl, Simone Gittelson, Alexandre H. Thiéry, Marc Augsburger and Pierre Esseiva and has published in prestigious journals such as Scientific Reports, Frontiers in Psychology and Journal of the Royal Statistical Society Series C (Applied Statistics).

In The Last Decade

Silvia Bozza

45 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Silvia Bozza Switzerland 14 190 189 144 93 80 46 650
Paolo Garbolino Italy 12 226 1.2× 186 1.0× 48 0.3× 56 0.6× 57 0.7× 26 601
Marjan Sjerps Netherlands 17 169 0.9× 303 1.6× 69 0.5× 56 0.6× 75 0.9× 60 843
Cédric Neumann United States 18 191 1.0× 364 1.9× 162 1.1× 171 1.8× 65 0.8× 59 913
David A. Stoney United States 14 111 0.6× 336 1.8× 60 0.4× 100 1.1× 76 0.9× 36 752
R. Cook United Kingdom 11 117 0.6× 340 1.8× 72 0.5× 92 1.0× 67 0.8× 17 743
JoAnn Buscaglia United States 15 121 0.6× 338 1.8× 211 1.5× 66 0.7× 112 1.4× 34 883
Didier Meuwly Netherlands 15 336 1.8× 185 1.0× 260 1.8× 69 0.7× 61 0.8× 33 757
Anders Nordgaard Sweden 10 103 0.5× 173 0.9× 49 0.3× 36 0.4× 41 0.5× 32 483
Tacha Hicks Switzerland 18 126 0.7× 553 2.9× 43 0.3× 110 1.2× 67 0.8× 42 863
Grayson R. Jackson United Kingdom 5 77 0.4× 174 0.9× 38 0.3× 43 0.5× 39 0.5× 10 376

Countries citing papers authored by Silvia Bozza

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Bozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Bozza

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Bozza. A scholar is included among the top collaborators of Silvia Bozza 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 Silvia Bozza. Silvia Bozza 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.
Taroni, Franco, Paolo Garbolino, & Silvia Bozza. (2024). A probabilistic graphical model for assessing equivocal evidence. Law Probability and Risk. 23(1).
2.
Bozza, Silvia, et al.. (2023). A model-independent redundancy measure for human versus ChatGPT authorship discrimination using a Bayesian probabilistic approach. Scientific Reports. 13(1). 19217–19217. 6 indexed citations
3.
Bozza, Silvia, et al.. (2022). Bayesian evaluation of dynamic signatures in operational conditions. Forensic Science International. 332. 111173–111173. 2 indexed citations
4.
Aitken, Colin, Franco Taroni, & Silvia Bozza. (2022). Evidence, probability and relative plausibility. The International Journal of Evidence & Proof. 26(4). 309–324. 6 indexed citations
5.
Bozza, Silvia, et al.. (2021). A probabilistic approach to evaluate salivary microbiome in forensic science when the Defense says: `It is my twin brother'. Forensic Science International Genetics. 57. 102638–102638. 5 indexed citations
6.
Gittelson, Simone, et al.. (2020). Minor or adult? Introducing decision analysis in forensic age estimation. Science & Justice. 61(1). 47–60. 12 indexed citations
7.
Biedermann, Alex, Franco Taroni, Silvia Bozza, Marc Augsburger, & Colin Aitken. (2018). Critical analysis of forensic cut-offs and legal thresholds: A coherent approach to inference and decision. Forensic Science International. 288. 72–80. 12 indexed citations
8.
Biedermann, Alex, Silvia Bozza, Franco Taroni, & Colin Aitken. (2016). The consequences of understanding expert probability reporting as a decision. Science & Justice. 57(1). 80–85. 22 indexed citations
9.
Biedermann, Alex, et al.. (2016). Analysis and evaluation of magnetism of black toners on documents printed by electrophotographic systems. Forensic Science International. 267. 157–165. 11 indexed citations
10.
Biedermann, Alex, Silvia Bozza, & Franco Taroni. (2015). Prediction in forensic science: a critical examination of common understandings. Frontiers in Psychology. 6. 737–737. 5 indexed citations
11.
Taroni, Franco, Raymond Marquis, Matthieu Schmittbuhl, et al.. (2014). Bayes factor for investigative assessment of selected handwriting features. Forensic Science International. 242. 266–273. 8 indexed citations
12.
Gittelson, Simone, Alex Biedermann, Silvia Bozza, & Franco Taroni. (2012). Bayesian Networks and the Value of the Evidence for the Forensic Two‐Trace Transfer Problem*. Journal of Forensic Sciences. 57(5). 1199–1216. 15 indexed citations
13.
Taroni, Franco, et al.. (2012). Uncertainty about the true source. A note on the likelihood ratio at the activity level. Forensic Science International. 220(1-3). 173–179. 6 indexed citations
14.
Taroni, Franco, Raymond Marquis, Matthieu Schmittbuhl, et al.. (2011). The use of the likelihood ratio for evaluative and investigative purposes in comparative forensic handwriting examination. Forensic Science International. 214(1-3). 189–194. 19 indexed citations
15.
Marquis, Raymond, Silvia Bozza, Matthieu Schmittbuhl, & Franco Taroni. (2010). Handwriting Evidence Evaluation Based on the Shape of Characters: Application of Multivariate Likelihood Ratios*,†. Journal of Forensic Sciences. 56(s1). S238–42. 21 indexed citations
16.
Biedermann, Alex, Franco Taroni, & Silvia Bozza. (2009). Implementing statistical learning methods through Bayesian networks. Part 1: A guide to Bayesian parameter estimation using forensic science data. Forensic Science International. 193(1-3). 63–71. 18 indexed citations
17.
Biedermann, Alex, Silvia Bozza, & Franco Taroni. (2009). Probabilistic evidential assessment of gunshot residue particle evidence (Part I): Likelihood ratio calculation and case pre-assessment using Bayesian networks. Forensic Science International. 191(1-3). 24–35. 43 indexed citations
18.
Taroni, Franco, Silvia Bozza, & Alex Biedermann. (2006). Two Items of Evidence, No Putative Source: An Inference Problem in Forensic Intelligence. Journal of Forensic Sciences. 51(6). 1350–1361. 15 indexed citations
19.
Taroni, Franco, et al.. (2006). Value of DNA Tests: A Decision Perspective. Journal of Forensic Sciences. 52(1). 31–39. 12 indexed citations
20.
Marquis, Raymond, Franco Taroni, Silvia Bozza, & Matthieu Schmittbuhl. (2006). Quantitative characterization of morphological polymorphism of handwritten characters loops. Forensic Science International. 164(2-3). 211–220. 14 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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