Alex Biedermann

3.3k citations
114 papers · 2.2k · h-index 26

Impact in

Papers in

    • Bayesian Modeling and Causal Inference 27
    • Anomaly Detection Techniques and Applications 8
    • Forensic and Genetic Research 41

Alex Biedermann

111 papers receiving 2.1k citations

Peers

Alex Biedermann
Comparison fields: 5 of 153
  • Genetics 925
  • Safety Research 238
  • Toxicology 79
  • Law 187
  • Archeology 186
Replace Franco Taroni with:
Franco Taroni Switzerland
Colin Aitken United Kingdom
I.W. Evett United Kingdom
Christophe Champod Switzerland
J.A. Lambert United Kingdom
Silvia Bozza Switzerland
Colin Aitken United Kingdom
Marjan Sjerps Netherlands
Olivier Ribaux Switzerland
Paolo Garbolino Italy
Alex Biedermann relative to Franco Taroni Switzerland Franco Taroni's profile →
Citations per field
00.5×1.5×
Franco Taroni · 1×
Citations per year

Countries citing papers authored by Alex Biedermann

Since Specialization
Citations

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

Fields of papers citing papers by Alex Biedermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alex Biedermann, 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 Alex Biedermann Line = papers co-authored together Alex Biedermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ENFSI guideline for evaluative reporting in forensic science
2015140
2 2006138
3 2018101
4 200694
5
Data Analysis in Forensic Science: A Bayesian Decision Perspective
201067
6 200864
7 201560
8 201157
9 201657
10 201757
11 201755
12 200351
13 200546
14 201645
15 200943
16 201043
17 201439
18 201237
19 201632
20 200430

About Alex Biedermann

Alex Biedermann is a scholar working on Artificial Intelligence, Genetics, Law, Management Science and Operations Research and Statistics and Probability, having authored 114 papers that have together received 2.2k indexed citations. Recurring topics across this work include Forensic and Genetic Research (41 papers), Bayesian Modeling and Causal Inference (27 papers), Jury Decision Making Processes (21 papers), Data Quality and Management (16 papers), Digital and Cyber Forensics (10 papers), Anomaly Detection Techniques and Applications (8 papers), Law, Economics, and Judicial Systems (8 papers) and Criminal Law and Evidence (6 papers). The work is most often cited by research in Genetics (925 citations), Safety Research (238 citations), Toxicology (79 citations), Law (187 citations) and Archeology (186 citations). Alex Biedermann has collaborated with scholars based in Switzerland, Italy and United Kingdom. Frequent co-authors include Franco Taroni, Colin Aitken, Silvia Bozza, Paolo Garbolino, Silvia Bozza, Christophe Champod, Duncan Taylor, Tacha Hicks, Bas Kokshoorn and Sheila Willis. Their work appears in journals such as Forensic Science International, Law Probability and Risk, Science & Justice, Forensic Science International Genetics and Frontiers in Genetics.

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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