Pierre Esseiva

3.0k total citations
87 papers, 2.1k citations indexed

About

Pierre Esseiva is a scholar working on Toxicology, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Pierre Esseiva has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Toxicology, 20 papers in Analytical Chemistry and 15 papers in Molecular Biology. Recurrent topics in Pierre Esseiva's work include Forensic Toxicology and Drug Analysis (34 papers), Spectroscopy and Chemometric Analyses (17 papers) and Advanced Chemical Sensor Technologies (11 papers). Pierre Esseiva is often cited by papers focused on Forensic Toxicology and Drug Analysis (34 papers), Spectroscopy and Chemometric Analyses (17 papers) and Advanced Chemical Sensor Technologies (11 papers). Pierre Esseiva collaborates with scholars based in Switzerland, Australia and Belgium. Pierre Esseiva's co-authors include Olivier Delémont, Julian Broséus, Frederic Béen, Natacha Gentile, Pierre Margot, Geneviève Massonnet, Cyril Muehlethaler, Céline Weyermann, Frédéric Anglada and Laurence Dujourdy and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Pierre Esseiva

85 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Esseiva Switzerland 27 660 460 385 376 340 87 2.1k
Niamh Nic Daéid United Kingdom 25 448 0.7× 213 0.5× 564 1.5× 422 1.1× 359 1.1× 141 2.1k
Olivier Delémont Switzerland 21 210 0.3× 135 0.3× 159 0.4× 176 0.5× 140 0.4× 82 1.5k
Martial Saugy Switzerland 45 400 0.6× 354 0.8× 1.3k 3.4× 261 0.7× 1.1k 3.2× 183 6.0k
Tiia Kuuranne Switzerland 30 196 0.3× 350 0.8× 767 2.0× 223 0.6× 1.2k 3.5× 97 3.0k
Carmen García‐Ruiz Spain 37 182 0.3× 947 2.1× 792 2.1× 1.3k 3.5× 1.2k 3.6× 185 4.4k
Leon Barron United Kingdom 35 118 0.2× 844 1.8× 698 1.8× 535 1.4× 735 2.2× 96 3.6k
Michael Cole United Kingdom 19 265 0.4× 180 0.4× 151 0.4× 136 0.4× 239 0.7× 81 990
Laurence Dujourdy France 19 334 0.5× 161 0.3× 243 0.6× 132 0.4× 253 0.7× 51 1.0k
Frederic Béen Netherlands 24 270 0.4× 194 0.4× 211 0.5× 338 0.9× 87 0.3× 59 1.7k
Céline Weyermann Switzerland 28 333 0.5× 319 0.7× 251 0.7× 110 0.3× 358 1.1× 88 2.1k

Countries citing papers authored by Pierre Esseiva

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Esseiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Esseiva

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Esseiva. A scholar is included among the top collaborators of Pierre Esseiva 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 Pierre Esseiva. Pierre Esseiva 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.
Esseiva, Pierre, et al.. (2025). Rapid detection and quantification of falsified Viagra using cloud-based portable NIR technology and machine learning. Journal of Pharmaceutical and Biomedical Analysis. 263. 116940–116940.
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Deidda, Riccardo, C. Schelling, Laureen Coïc, et al.. (2021). New perspective for the in-field analysis of cannabis samples using handheld near-infrared spectroscopy: A case study focusing on the determination of Δ9-tetrahydrocannabinol. Journal of Pharmaceutical and Biomedical Analysis. 202. 114150–114150. 38 indexed citations
4.
Broséus, Julian, et al.. (2021). Illicit drug profiling practices in Finland: An exploratory study about end users’ perceptions. Forensic Science International. 324. 110848–110848. 4 indexed citations
5.
Deidda, Riccardo, Charlotte De Bleye, Laureen Coïc, et al.. (2020). Handheld Near Infrared spectroscopy for cannabis analysis: from the analytical problem to the chemometric solution. Open Repository and Bibliography (University of Liège). 2 indexed citations
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Morelato, Marie, Lisa Benaglia, Frederic Béen, et al.. (2019). The use of wastewater analysis in forensic intelligence: drug consumption comparison between Sydney and different European cities. Forensic Sciences Research. 4(2). 141–151. 21 indexed citations
8.
Rhumorbarbe, Damien, Marie Morelato, Claude Roux, et al.. (2019). Monitoring new psychoactive substances: Exploring the contribution of an online discussion forum. International Journal of Drug Policy. 73. 273–280. 22 indexed citations
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Morelato, Marie, et al.. (2018). Forensic drug intelligence and the rise of cryptomarkets. Part II: Combination of data from the physical and virtual markets. Forensic Science International. 288. 201–210. 9 indexed citations
11.
Béen, Frederic, et al.. (2017). Imitations et Contrefaçons de Médicaments : la Mesure de la Couleur comme un Outil de Renseignement Forensique. IRIS. 52–61. 1 indexed citations
12.
Delémont, Olivier, Pierre Esseiva, Olivier Ribaux, & Pierre Margot. (2013). La violence laisse des traces: l'homicide dévoilé par la science forensique.. IRIS. 3 indexed citations
13.
Broséus, Julian, Benjamin Debrus, Olivier Delémont, Serge Rudaz, & Pierre Esseiva. (2013). Study of common database feeding with results coming from different analytical methods in the framework of illicit drugs chemical profiling. Forensic Science International. 230(1-3). 16–28. 9 indexed citations
14.
Martin, Jean‐Claude, et al.. (2010). Investigation de scène de crime: fixation de l'état des lieux et traitement des traces d'objets. IRIS. 5 indexed citations
15.
Delémont, Olivier, et al.. (2010). Potential of IRMS technology for tracing gamma-butyrolactone (GBL). Forensic Science International. 198(1-3). 46–52. 17 indexed citations
16.
Weyermann, Céline, et al.. (2009). The profiling of MDMA tablets: A study of the combination of physical characteristics and organic impurities as sources of information. Forensic Science International. 187(1-3). 58–65. 26 indexed citations
17.
18.
Ratle, Frédéric, et al.. (2006). Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms.. The European Symposium on Artificial Neural Networks. 665–670. 6 indexed citations
19.
Esseiva, Pierre. (2004). Le profilage de l'héroïne et de la cocaïne : mise en place d'une systèmatique permettant une utilisation opérationnelle des liens chimiques. IRIS. 6 indexed citations
20.
Esseiva, Pierre, et al.. (1997). Identification and quantification of amphetamine and analogues by capillary zone electrophoresis. Science & Justice. 37(2). 113–119. 21 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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