Simone Gittelson

409 total citations
18 papers, 231 citations indexed

About

Simone Gittelson is a scholar working on Artificial Intelligence, Genetics and Molecular Biology. According to data from OpenAlex, Simone Gittelson has authored 18 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 8 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Simone Gittelson's work include Forensic and Genetic Research (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Molecular Biology Techniques and Applications (4 papers). Simone Gittelson is often cited by papers focused on Forensic and Genetic Research (7 papers), Bayesian Modeling and Causal Inference (6 papers) and Molecular Biology Techniques and Applications (4 papers). Simone Gittelson collaborates with scholars based in Switzerland, United States and Australia. Simone Gittelson's co-authors include Franco Taroni, Alex Biedermann, John Buckleton, Duncan Taylor, Silvia Bozza, Jo‐Anne Bright, Silvia Bozza, I.W. Evett, Michael D. Coble and Carolyn R. Steffen and has published in prestigious journals such as Forensic Science International, Journal of Forensic Sciences and Forensic Science International Genetics.

In The Last Decade

Simone Gittelson

17 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simone Gittelson Switzerland 10 128 85 45 29 27 18 231
Graham Jackson United Kingdom 10 140 1.1× 53 0.6× 70 1.6× 26 0.9× 17 0.6× 17 300
Allan Jamieson United Kingdom 6 125 1.0× 78 0.9× 23 0.5× 28 1.0× 35 1.3× 12 255
Grayson R. Jackson United Kingdom 5 174 1.4× 45 0.5× 77 1.7× 43 1.5× 21 0.8× 10 376
Amanda B. Hepler United States 5 244 1.9× 69 0.8× 87 1.9× 13 0.4× 32 1.2× 10 419
Roberto Puch‐Solis United Kingdom 10 305 2.4× 147 1.7× 69 1.5× 26 0.9× 39 1.4× 24 416
Lindsey A. Foreman United Kingdom 9 237 1.9× 124 1.5× 36 0.8× 25 0.9× 19 0.7× 15 305
Peter R. De Forest United States 9 93 0.7× 35 0.4× 13 0.3× 42 1.4× 15 0.6× 24 301
Ray Wickenheiser United States 11 329 2.6× 174 2.0× 32 0.7× 50 1.7× 102 3.8× 26 489
Susan Pope United Kingdom 7 136 1.1× 135 1.6× 29 0.6× 6 0.2× 31 1.1× 18 228
Klaas Slooten Netherlands 13 362 2.8× 194 2.3× 130 2.9× 19 0.7× 72 2.7× 38 485

Countries citing papers authored by Simone Gittelson

Since Specialization
Citations

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

Fields of papers citing papers by Simone Gittelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simone Gittelson

This figure shows the co-authorship network connecting the top 25 collaborators of Simone Gittelson. A scholar is included among the top collaborators of Simone Gittelson 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 Simone Gittelson. Simone Gittelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Gittelson, Simone & Franco Taroni. (2024). To test or not to test? A question of rational decision making in forensic biology. Artificial Intelligence and Law. 33(2). 293–322.
2.
Roux, Claude, et al.. (2023). Forensic interpretation framework for body and gait analysis: feature extraction, frequency and distinctiveness. Australian Journal of Forensic Sciences. 56(4). 338–354. 1 indexed citations
3.
Gittelson, Simone, et al.. (2020). Minor or adult? Introducing decision analysis in forensic age estimation. Science & Justice. 61(1). 47–60. 12 indexed citations
4.
Buckleton, John, Bernard Robertson, James M. Curran, et al.. (2020). A review of likelihood ratios in forensic science based on a critique of Stiffelman “No longer the Gold standard: Probabilistic genotyping is changing the nature of DNA evidence in criminal trials”. Forensic Science International. 310. 110251–110251. 9 indexed citations
5.
Baechler, Simon, Marie Morelato, Simone Gittelson, et al.. (2020). Breaking the barriers between intelligence, investigation and evaluation: A continuous approach to define the contribution and scope of forensic science. Forensic Science International. 309. 110213–110213. 30 indexed citations
6.
Buckleton, John, Jo‐Anne Bright, Simone Gittelson, et al.. (2018). The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity. Journal of Forensic Sciences. 64(2). 393–405. 35 indexed citations
7.
Gittelson, Simone, Charles E.H. Berger, Graham Jackson, et al.. (2018). A response to “Likelihood ratio as weight of evidence: A closer look” by Lund and Iyer. Forensic Science International. 288. e15–e19. 9 indexed citations
8.
Gittelson, Simone, Tamyra R. Moretti, Anthony J. Onorato, et al.. (2017). The factor of 10 in forensic DNA match probabilities. Forensic Science International Genetics. 28. 178–187. 4 indexed citations
9.
Gittelson, Simone, Carolyn R. Steffen, & Michael D. Coble. (2016). Low-template DNA: A single DNA analysis or two replicates?. Forensic Science International. 264. 139–145. 13 indexed citations
10.
Gittelson, Simone, Carolyn R. Steffen, & Michael D. Coble. (2016). Expected net gain data of low-template DNA analyses. Data in Brief. 8. 375–386. 4 indexed citations
11.
Gittelson, Simone, Duncan Taylor, Tacha Hicks, et al.. (2015). A Practical Guide for the Formulation of Propositions in the Bayesian Approach to DNA Evidence Interpretation in an Adversarial Environment. Journal of Forensic Sciences. 61(1). 186–195. 38 indexed citations
12.
Gittelson, Simone, Silvia Bozza, Alex Biedermann, & Franco Taroni. (2013). Decision-theoretic reflections on processing a fingermark. Forensic Science International. 226(1-3). e42–e47. 11 indexed citations
13.
Gittelson, Simone, Alex Biedermann, Silvia Bozza, & Franco Taroni. (2013). Decision analysis for the genotype designation in low-template-DNA profiles. Forensic Science International Genetics. 9. 118–133. 13 indexed citations
14.
Gittelson, Simone. (2013). Evolving from inferences to decisions in the interpretation of scientific evidence. IRIS. 8 indexed citations
15.
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
16.
Gittelson, Simone, Alex Biedermann, Silvia Bozza, & Franco Taroni. (2012). The database search problem: A question of rational decision making. Forensic Science International. 222(1-3). 186–199. 8 indexed citations
17.
Gittelson, Simone, Alex Biedermann, Silvia Bozza, & Franco Taroni. (2012). Modeling the forensic two-trace problem with Bayesian networks. Artificial Intelligence and Law. 21(2). 221–252. 10 indexed citations
18.
Biedermann, Alex, Simone Gittelson, & Franco Taroni. (2011). Recent misconceptions about the ‘database search problem’: A probabilistic analysis using Bayesian networks. Forensic Science International. 212(1-3). 51–60. 11 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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