Silvia Bozza

997 citations
46 papers · 663 · h-index 14

Impact in

  • Archeology top 2%
    • Forensic Anthropology and Bioarchaeology Studies
    • Forensic Fingerprint Detection Methods

Papers in

Silvia Bozza

45 papers receiving 631 citations

Peers

Silvia Bozza
Comparison fields: 5 of 108
  • Archeology 95
  • Safety Research 66
  • Genetics 192
  • Computer Vision and Pattern Recognition 143
  • Statistics and Probability 53
Replace Marjan Sjerps with:
Marjan Sjerps Netherlands
David A. Stoney United States
Paolo Garbolino Italy
Tacha Hicks Switzerland
R. Cook United Kingdom
Cédric Neumann United States
Anders Nordgaard Sweden
JoAnn Buscaglia United States
Grayson R. Jackson United Kingdom
Bernard Robertson New Zealand
Silvia Bozza relative to Marjan Sjerps Netherlands Marjan Sjerps's profile →
Citations per field
00.5×1.5×2.1×
Marjan Sjerps · 1×
Citations per year

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-authors

The 19 scholars most cited alongside Silvia Bozza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Silvia Bozza Line = papers co-authored together Silvia Bozza links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Data Analysis in Forensic Science: A Bayesian Decision Perspective
201067
2 201560
3 200943
4 200840
5 201439
6 201836
7 201623
8 201021
9 201120
10 200919
11 202018
12 200615
13 201215
14 200614
15 202013
16 200612
17 201812
18 201812
19 201812
20 201411

About Silvia Bozza

Silvia Bozza is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Genetics, Statistics and Probability and Management Science and Operations Research, having authored 46 papers that have together received 663 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (12 papers), Handwritten Text Recognition Techniques (10 papers), Forensic and Genetic Research (9 papers), Image Processing and 3D Reconstruction (7 papers), Advanced Statistical Methods and Models (5 papers), Data Quality and Management (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Jury Decision Making Processes (5 papers). The work is most often cited by research in Archeology (95 citations), Safety Research (66 citations), Genetics (192 citations), Computer Vision and Pattern Recognition (143 citations) and Statistics and Probability (53 citations). Silvia Bozza has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Franco Taroni, Alex Biedermann, Colin Aitken, Raymond Marquis, Paolo Garbolino, Matthieu Schmittbuhl, Simone Gittelson, Alexandre H. Thiéry, Pierre Esseiva and Marc Augsburger. Their work appears in journals such as Forensic Science International, Law Probability and Risk, Journal of Forensic Sciences, Science & Justice and Frontiers in Psychology.

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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