Simon Baechler

662 citations
29 papers · 461 · h-index 13

Impact in

  • Toxicology top 5%
    • Forensic Toxicology and Drug Analysis
    • Forensic and Genetic Research

Papers in

Simon Baechler

28 papers receiving 436 citations

Peers

Simon Baechler
Comparison fields: 5 of 83
  • Toxicology 41
  • Genetics 155
  • Safety Research 46
  • Information Systems 120
  • Computer Vision and Pattern Recognition 91
Replace Keith Inman with:
Keith Inman United States
David A. Stoney United States
Sheila Willis United Kingdom
Anders Nordgaard Sweden
Quentin Rossy Switzerland
Grayson R. Jackson United Kingdom
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Graham Jackson United Kingdom
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Simon Baechler relative to Keith Inman United States Keith Inman's profile →
Citations per field
00.5×4.6×
Keith Inman · 1×
Citations per year

Countries citing papers authored by Simon Baechler

Since Specialization
Citations

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

Fields of papers citing papers by Simon Baechler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201472
2 201956
3 201542
4 202030
5 201230
6 201326
7 201626
8 201524
9 201521
10 201618
11 201017
12 202016
13 201913
14 201611
15 20178
16 20238
17 20216
18 20226
19 20226
20 20175

About Simon Baechler

Simon Baechler is a scholar working on Sociology and Political Science, Genetics, Information Systems, Computer Vision and Pattern Recognition and Political Science and International Relations, having authored 29 papers that have together received 461 indexed citations. Recurring topics across this work include Crime, Illicit Activities, and Governance (13 papers), Forensic and Genetic Research (11 papers), Crime Patterns and Interventions (6 papers), Cybercrime and Law Enforcement Studies (5 papers), Digital Media Forensic Detection (5 papers), Digital and Cyber Forensics (4 papers), Forensic Fingerprint Detection Methods (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Toxicology (41 citations), Genetics (155 citations), Safety Research (46 citations), Information Systems (120 citations) and Computer Vision and Pattern Recognition (91 citations). Simon Baechler has collaborated with scholars based in Switzerland, Canada and Australia. Frequent co-authors include Pierre Margot, Olivier Ribaux, Marie Morelato, Claude Roux, Alison Beavis, Olivier Delémont, Pierre Esseiva, Mark Tahtouh, K. Paul Kirkbride and Vincent Castella. Their work appears in journals such as Forensic Science International, Science & Justice, Security Journal, Forensic Science International Genetics and Policing A Journal of Policy and Practice.

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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