World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5385
World Ranking
8703
National Ranking
125

Franco Taroni publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Franco Taroni sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 204 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Franco Taroni D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Franco Taroni sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Franco Taroni is affiliated with the University of Lausanne in Switzerland and has a research focus primarily in the field of Computer Science, with a particular emphasis on Artificial Intelligence. Their scholarly contributions span a variety of subfields, including Genetics, Computer Vision and Pattern Recognition, Law, and Statistics and Probability.

Their research addresses several main topics, which include:

  • Bayesian Modeling and Causal Inference
  • Forensic and Genetic Research
  • Jury Decision Making Processes
  • Forensic Anthropology and Bioarchaeology Studies
  • Autopsy Techniques and Outcomes
  • Digital and Cyber Forensics
  • Handwritten Text Recognition Techniques

Franco Taroni has published extensively with frequent contributions to these venues:

  • Forensic Science International
  • Law Probability and Risk
  • Forensic Science International Genetics
  • European Urology Open Science
  • Artificial Intelligence and Law

Their recent papers include:

  • The use of Bayesian Networks and simulation methods to identify the variables impacting the value of evidence assessed under activity level propositions in stabbing cases (2020, Forensic Science International Genetics)
  • The Bayes' factor: the coherent measure for hypothesis confirmation (2021, Law Probability and Risk)
  • Minor or adult? Introducing decision analysis in forensic age estimation (2020, Science & Justice)
  • A generalised Bayes' factor formula for evidence evaluation under activity level propositions: Variations around a fibres scenario (2021, Forensic Science International)
  • DNA transfer when using gloves in burglary simulations (2022, Forensic Science International Genetics)

Collaborative work is a significant component of their career, with frequent co-authors including:

  • Silvia Bozza
  • Alex Biedermann
  • Colin Aitken
  • Paolo Garbolino
  • Emanuele Sironi

Franco Taroni is also an author of books published by Springer International Publishing, including the title Bayes Factors for Forensic Decision Analyses with R (2022).

Best Publications

  • Statistics and the Evaluation of Evidence for Forensic Scientists

    Colin G.G. Aitken;Franco Taroni

  • Bayesian Networks and Probabilistic Inference in Forensic Science

    Franco Taroni;C. G. G. Aitken;Paolo Garbolino;Alex Biedermann

  • How the probability of a false positive affects the value of DNA evidence.

    William C Thompson;Franco Taroni;Colin G G Aitken

  • ENFSI guideline for evaluative reporting in forensic science

    C.C.G. Aitken;A. Barrett;C.E.H. Berger;A. Biedermann

  • A methodology for illicit heroin seizures comparison in a drug intelligence perspective using large databases.

    P Esseiva;L Dujourdy;F Anglada;F Taroni

  • Statistical Classification of Abnormal Blood Profiles in Athletes

    Pierre-Edouard Sottas;Neil Robinson;Sylvain Giraud;Franco Taroni

  • Data Analysis in Forensic Science: A Bayesian Decision Perspective

    Franco Taroni;Silvia Bozza;Alex Biedermann;Paolo Garbolino

  • Decision theoretic properties of forensic identification: underlying logic and argumentative implications.

    A Biedermann;Silvia Bozza;F. Taroni

  • Evaluation of scientific evidence using Bayesian networks.

    Paolo Garbolino;Franco Taroni

  • Bayesian networks for evaluating forensic DNA profiling evidence: A review and guide to literature

    A. Biedermann;F. Taroni

  • A general approach to Bayesian networks for the interpretation of evidence.

    F. Taroni;A. Biedermann;P. Garbolino;C.G.G. Aitken

  • Bayesian networks and probabilistic reasoning about scientific evidence when there is a lack of data.

    A. Biedermann;F. Taroni

  • Control system design on a power-split CVT for high-power agricultural tractors

    S.M. Savaresi;F.L. Taroni;F. Previdi;S. Bittanti

  • Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks.

    Pierre Esseiva;Frederic Anglada;Laurence Dujourdy;Franco Taroni

  • Evaluation of preliminary isotopic analysis (13C and 15N) of explosives A likelihood ratio approach to assess the links between semtex samples.

    Georges Pierrini;Sean Doyle;Christophe Champod;Franco Taroni

  • Probabilistic evaluation of handwriting evidence: likelihood ratio for authorship

    Silvia Bozza;Franco Taroni;Raymond Marquis;Matthieu Schmittbuhl

  • Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

    F. Taroni;A. Biedermann;Silvia Bozza;P. Garbolino

  • Forerunners of Bayesianism in Early Forensic Science.

    F Taroni;C Champod;P Margot

  • Decision analysis in forensic science.

    Franco Taroni;Silvia Bozza;Colin Aitken

  • De Finetti's subjectivism, the assessment of probabilities and the evaluation of evidence: a commentary for forensic scientists

    F. Taroni;C.G.G. Aitken;P. Garbolino

  • Inference about the number of contributors to a DNA mixture: Comparative analyses of a Bayesian network approach and the maximum allele count method.

    A. Biedermann;Silvia Bozza;K. Konis;F. Taroni

  • Probabilistic evidential assessment of gunshot residue particle evidence (Part I): likelihood ratio calculation and case pre-assessment using Bayesian networks.

    A Biedermann;Silvia Bozza;F. Taroni

  • The evaluation of evidence in the forensic investigation of fire incidents (Part I): an approach using Bayesian networks

    A. Biedermann;F. Taroni;O. Delemont;C. Semadeni

  • Stabbing simulations and DNA transfer

    Lydie Samie;Tacha Hicks;Tacha Hicks;Vincent Castella;Franco Taroni

  • A Practical Guide for the Formulation of Propositions in the Bayesian Approach to DNA Evidence Interpretation in an Adversarial Environment

    Simone Gittelson;Tim Kalafut;Steven Myers;Duncan Taylor

  • The importance of distinguishing information from evidence/observations when formulating propositions

    T. Hicks;T. Hicks;A. Biedermann;A. Biedermann;J.A. de Koeijer;F. Taroni

  • Whose DNA is this? How relevant a question? (a note for forensic scientists)

    Franco Taroni;Alex Biedermann;Joëlle Vuille;Niels Morling

  • The evaluation of evidence in the forensic investigation of fire incidents. Part II. Practical examples of the use of Bayesian networks.

    A. Biedermann;F. Taroni;O. Delemont;C. Semadeni

  • Bayesian framework for the evaluation of fibre transfer evidence.

    C. Champod;F. Taroni

  • The use of the likelihood ratio for evaluative and investigative purposes in comparative forensic handwriting examination

    F. Taroni;R. Marquis;M. Schmittbuhl;A. Biedermann

  • Estimating the time since discharge of spent cartridges: a logical approach for interpreting the evidence.

    Matteo Gallidabino;Céline Weyermann;Francesco Saverio Romolo;Francesco Saverio Romolo;Franco Taroni

  • The logic of decision

    Franco Taroni;Alex Biedermann;Silvia Bozza;Paolo Garbolino

Frequent Co-Authors

Christophe Champod
Christophe Champod University of Lausanne
Pierre Margot
Pierre Margot University of Lausanne
Mary M. Reilly
Mary M. Reilly University College London
Alfredo Brusco
Alfredo Brusco University of Turin
Peter Gill
Peter Gill Oslo University Hospital
Giuseppe Lauria
Giuseppe Lauria University of Milan
Niels Morling
Niels Morling University of Copenhagen
Pietro Cortelli
Pietro Cortelli University of Bologna
Gilbert Greub
Gilbert Greub University of Lausanne
Cinzia Gellera
Cinzia Gellera Istituto Neurologico Carlo Besta

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