Christophe Champod

5.8k total citations
128 papers, 3.9k citations indexed

About

Christophe Champod is a scholar working on Genetics, Safety Research and Signal Processing. According to data from OpenAlex, Christophe Champod has authored 128 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 46 papers in Safety Research and 32 papers in Signal Processing. Recurrent topics in Christophe Champod's work include Forensic and Genetic Research (54 papers), Forensic Fingerprint Detection Methods (45 papers) and Biometric Identification and Security (32 papers). Christophe Champod is often cited by papers focused on Forensic and Genetic Research (54 papers), Forensic Fingerprint Detection Methods (45 papers) and Biometric Identification and Security (32 papers). Christophe Champod collaborates with scholars based in Switzerland, United Kingdom and United States. Christophe Champod's co-authors include Pierre Margot, Andy Bécue, Chris Lennard, Milutin Stoilovic, I.W. Evett, Sébastien Moret, Franco Taroni, Glenn Langenburg, Alex Biedermann and Tacha Hicks and has published in prestigious journals such as Chemical Communications, Philosophical Transactions of the Royal Society B Biological Sciences and Journal of Theoretical Biology.

In The Last Decade

Christophe Champod

125 papers receiving 3.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Christophe Champod 1.9k 1.7k 984 657 526 128 3.9k
Pierre Margot 1.4k 0.7× 1.5k 0.9× 481 0.5× 647 1.0× 183 0.3× 103 4.0k
I.W. Evett 2.1k 1.1× 313 0.2× 226 0.2× 226 0.3× 735 1.4× 106 3.7k
Alex Biedermann 895 0.5× 238 0.1× 101 0.1× 217 0.3× 533 1.0× 112 2.1k
Olivier Ribaux 629 0.3× 189 0.1× 83 0.1× 476 0.7× 190 0.4× 69 1.9k
Colin Aitken 536 0.3× 161 0.1× 157 0.2× 112 0.2× 701 1.3× 97 2.1k
John Buckleton 4.0k 2.1× 161 0.1× 73 0.1× 99 0.2× 765 1.5× 231 5.4k
Charles E.H. Berger 254 0.1× 91 0.1× 64 0.1× 94 0.1× 219 0.4× 64 1.4k
Max M. Houck 276 0.1× 101 0.1× 122 0.1× 124 0.2× 44 0.1× 76 1.1k
William C. Thompson 395 0.2× 115 0.1× 44 0.0× 83 0.1× 206 0.4× 131 3.5k
David White 147 0.1× 52 0.0× 195 0.2× 38 0.1× 100 0.2× 155 4.4k

Countries citing papers authored by Christophe Champod

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Champod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Champod

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

All Works

20 of 20 papers shown
1.
2.
Champod, Christophe, et al.. (2021). A method for measuring the quality of friction skin impression evidence: Method development and validation. Forensic Science International. 320. 110703–110703. 12 indexed citations
3.
Champod, Christophe, et al.. (2021). Predicting suitability of finger marks using machine learning techniques and examiner annotations. Forensic Science International. 320. 110712–110712. 3 indexed citations
4.
Champod, Christophe, et al.. (2020). Examining and expanding the friction ridge value decision. Forensic Science International. 314. 110408–110408. 7 indexed citations
5.
Champod, Christophe, et al.. (2020). Testing the accuracy and reliability of palmar friction ridge comparisons – A black box study. Forensic Science International. 318. 110457–110457. 20 indexed citations
6.
Biedermann, Alex, Christophe Champod, Graham Jackson, et al.. (2016). Evaluation of Forensic DNA Traces When Propositions of Interest Relate to Activities: Analysis and Discussion of Recurrent Concerns. Frontiers in Genetics. 7. 215–215. 42 indexed citations
7.
Marquis, Raymond, Alex Biedermann, Christophe Champod, et al.. (2016). Discussion on how to implement a verbal scale in a forensic laboratory: Benefits, pitfalls and suggestions to avoid misunderstandings. Science & Justice. 56(5). 364–370. 54 indexed citations
8.
Neumann, Cédric, et al.. (2014). Improving the Understanding and the Reliability of the Concept of "Sufficiency" in Friction Ridge Examination. IRIS. 25 indexed citations
9.
Moret, Sébastien, Andy Bécue, & Christophe Champod. (2014). Nanoparticles for fingermark detection: an insight into the reaction mechanism. Nanotechnology. 25(42). 425502–425502. 60 indexed citations
10.
Champod, Christophe, et al.. (2013). Integration of Pore Features into the Evaluation of Fingerprint Evidence*. Journal of Forensic Sciences. 59(1). 82–93. 15 indexed citations
11.
Champod, Christophe, et al.. (2013). Evidence evaluation in fingerprint comparison and automated fingerprint identification systems—Modeling between finger variability. Forensic Science International. 235. 86–101. 18 indexed citations
12.
Moret, Sébastien, Andy Bécue, & Christophe Champod. (2012). Cadmium-free quantum dots in aqueous solution: Potential for fingermark detection, synthesis and an application to the detection of fingermarks in blood on non-porous surfaces. Forensic Science International. 224(1-3). 101–110. 30 indexed citations
13.
Langenburg, Glenn & Christophe Champod. (2011). The GYRO System: a Recommended Approach to More Transparent Documentation. IRIS. 21 indexed citations
14.
Champod, Christophe, et al.. (2010). Development of Standardized Test Strips as a Process Control for the Detection of Latent Fingermarks using Physical Developers. SERVAL (Université de Lausanne). 11 indexed citations
15.
Bécue, Andy, Sébastien Moret, Christophe Champod, & Pierre Margot. (2010). Use of stains to detect fingermarks. Biotechnic & Histochemistry. 86(3). 140–160. 63 indexed citations
16.
Langenburg, Glenn, et al.. (2009). Testing for Potential Contextual Bias Effects During the Verification Stage of the ACE‐V Methodology when Conducting Fingerprint Comparisons*. Journal of Forensic Sciences. 54(3). 571–582. 63 indexed citations
17.
Augsburger, Marc, Daniel Cherix, Frank Sporkert, et al.. (2007). Codeine accumulation and elimination in larvae, pupae, and imago of the blowfly Lucilia sericata and effects on its development. International Journal of Legal Medicine. 122(3). 205–211. 52 indexed citations
18.
Neumann, Cédric, et al.. (2006). Computation of Likelihood Ratios in Fingerprint Identification for Configurations of Any Number of Minutiæ. Journal of Forensic Sciences. 52(1). 54–64. 102 indexed citations
19.
Champod, Christophe & Franco Taroni. (1997). Bayesian framework for the evaluation of fibre transfer evidence. Science & Justice. 37(2). 75–83. 25 indexed citations
20.
Champod, Christophe & Pierre Margot. (1996). Computer Assisted Analysis of Minutiae Occurences on Fingerprints.. IRIS. 1 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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