Cédric Neumann

1.4k total citations
59 papers, 913 citations indexed

About

Cédric Neumann is a scholar working on Genetics, Safety Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cédric Neumann has authored 59 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 16 papers in Safety Research and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cédric Neumann's work include Forensic and Genetic Research (23 papers), Forensic Fingerprint Detection Methods (16 papers) and Biometric Identification and Security (10 papers). Cédric Neumann is often cited by papers focused on Forensic and Genetic Research (23 papers), Forensic Fingerprint Detection Methods (16 papers) and Biometric Identification and Security (10 papers). Cédric Neumann collaborates with scholars based in United States, United Kingdom and Switzerland. Cédric Neumann's co-authors include Pierre Margot, I.W. Evett, Christophe Champod, Roberto Puch‐Solis, Nicole Egli, Christopher P. Saunders, Robert Ramotowski, Peter Gill, James M. Curran and Didier Meuwly and has published in prestigious journals such as Journal of Chromatography A, Ecological Modelling and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Cédric Neumann

51 papers receiving 860 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cédric Neumann United States 18 364 256 225 191 171 59 913
JoAnn Buscaglia United States 15 338 0.9× 289 1.1× 280 1.2× 121 0.6× 66 0.4× 34 883
Marjan Sjerps Netherlands 17 303 0.8× 103 0.4× 43 0.2× 169 0.9× 56 0.3× 60 843
David A. Stoney United States 14 336 0.9× 128 0.5× 91 0.4× 111 0.6× 100 0.6× 36 752
Didier Meuwly Netherlands 15 185 0.5× 118 0.5× 366 1.6× 336 1.8× 69 0.4× 33 757
R. Cook United Kingdom 11 340 0.9× 131 0.5× 34 0.2× 117 0.6× 92 0.5× 17 743
Silvia Bozza Switzerland 14 189 0.5× 66 0.3× 27 0.1× 190 1.0× 93 0.5× 46 650
Anders Nordgaard Sweden 10 173 0.5× 52 0.2× 32 0.1× 103 0.5× 36 0.2× 32 483
Paolo Garbolino Italy 12 186 0.5× 47 0.2× 37 0.2× 226 1.2× 56 0.3× 26 601
Roberto Puch‐Solis United Kingdom 10 305 0.8× 91 0.4× 95 0.4× 69 0.4× 26 0.2× 24 416
Tacha Hicks Switzerland 18 553 1.5× 101 0.4× 10 0.0× 126 0.7× 110 0.6× 42 863

Countries citing papers authored by Cédric Neumann

Since Specialization
Citations

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

Fields of papers citing papers by Cédric Neumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Neumann

This figure shows the co-authorship network connecting the top 25 collaborators of Cédric Neumann. A scholar is included among the top collaborators of Cédric Neumann 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 Cédric Neumann. Cédric Neumann 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.
Corzo, Ruthmara, et al.. (2024). Evaluation of the incorporation of µ-XRF SDD systems in analytical workflows of black electrical tapes. Forensic Chemistry. 42. 100638–100638. 1 indexed citations
2.
Neumann, Cédric, et al.. (2023). Technical Note: Intra-pane refractive index variability and adequate sample sizes in forensic glass analysis. Forensic Science International. 347. 111671–111671.
3.
4.
5.
Tavadze, Pedram, et al.. (2023). Using convolutional neural networks to support examiners in duct tape physical fit comparisons. Forensic Science International. 353. 111884–111884.
6.
Morrison, Geoffrey Stewart, Ewald Enzinger, Vincent Hughes, et al.. (2021). Consensus on validation of forensic voice comparison. Science & Justice. 61(3). 299–309. 47 indexed citations
7.
Neumann, Cédric. (2020). L’informatique de gestion : la transformation inaccomplie d’un ensemble de pratiques empiriques en recherche. Revue internationale de psychosociologie et de gestion des comportements organisationnels. Vol. XXVI(64). 21–46. 1 indexed citations
8.
Neumann, Cédric, et al.. (2020). Deconvolution of dust mixtures. Forensic Science International. 308. 110144–110144.
9.
Stoney, David A., et al.. (2019). Differential analysis of very small particles (VSP) from the contact surfaces and recessed areas of footwear. Forensic Science International. 298. 106–114. 6 indexed citations
10.
Neumann, Cédric, et al.. (2019). A Bayesian approach for the analysis of error rate studies in forensic science. Forensic Science International. 306. 110047–110047. 1 indexed citations
11.
Jackson, Graham, et al.. (2015). Communicating the Results of Forensic Science Examinations. SSRN Electronic Journal. 6 indexed citations
12.
Neumann, Cédric, et al.. (2015). Review and application of functional data analysis to chemical data—The example of the comparison, classification, and database search of forensic ink chromatograms. Chemometrics and Intelligent Laboratory Systems. 149. 97–106. 21 indexed citations
13.
Neumann, Cédric, et al.. (2015). Quantifying the weight of fingerprint evidence through the spatial relationship, directions and types of minutiae observed on fingermarks. Forensic Science International. 248. 154–171. 20 indexed citations
14.
Klein, Rebecca C., et al.. (2014). Detection of insertion/deletion polymorphisms from challenged samples using the Investigator DIPplex® Kit. Forensic Science International Genetics. 16. 29–37. 12 indexed citations
15.
Neumann, Cédric, et al.. (2014). Improving the Understanding and the Reliability of the Concept of "Sufficiency" in Friction Ridge Examination. IRIS. 25 indexed citations
16.
Neumann, Cédric, et al.. (2010). Forensic examination of ink by high-performance thin layer chromatography—The United States Secret Service Digital Ink Library. Journal of Chromatography A. 1218(19). 2793–2811. 56 indexed citations
17.
Neumann, Cédric & Pierre Margot. (2009). New perspectives in the use of ink evidence in forensic science. Forensic Science International. 185(1-3). 38–50. 26 indexed citations
18.
Neumann, Cédric & Pierre Margot. (2009). New perspectives in the use of ink evidence in forensic science: Part I. Development of a quality assurance process for forensic ink analysis by HPTLC. Forensic Science International. 185(1-3). 29–37. 52 indexed citations
19.
Gill, Peter, James M. Curran, Cédric Neumann, et al.. (2007). Interpretation of complex DNA profiles using empirical models and a method to measure their robustness. Forensic Science International Genetics. 2(2). 91–103. 60 indexed citations
20.
Neumann, Cédric, et al.. (2006). Computation of Likelihood Ratios in Fingerprint Identification for Configurations of Three Minutiæ. Journal of Forensic Sciences. 51(6). 1255–1266. 60 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by JoAnn Buscaglia Breakdown of academic impact, for papers by Marjan Sjerps Breakdown of academic impact, for papers by David A. Stoney Breakdown of academic impact, for papers by Didier Meuwly Breakdown of academic impact, for papers by R. Cook Breakdown of academic impact, for papers by Silvia Bozza Breakdown of academic impact, for papers by Anders Nordgaard Breakdown of academic impact, for papers by Paolo Garbolino Breakdown of academic impact, for papers by Roberto Puch‐Solis Breakdown of academic impact, for papers by Tacha Hicks
Rankless by CCL
2026